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1

Banerjee, Aniruddha, and Christian M. Dippon. "Voluntary relationships among mobile network operators and mobile virtual network operators: An economic explanation." Information Economics and Policy 21, no. 1 (2009): 72–84. http://dx.doi.org/10.1016/j.infoecopol.2008.10.003.

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2

Ekanoye, Femi, Temitope Olokunde, Victor Mbarika, and Philip Musa. "An Exploration of Relationships Between Mobile Network Operators (MNO) and Mobile Virtual Network Operations (MVNO) in Nigeria." International Journal of Interdisciplinary Telecommunications and Networking 10, no. 2 (2018): 1–13. http://dx.doi.org/10.4018/ijitn.2018040101.

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Mobile Virtual Network Operators (MVNOs) are of immense value to the mobile telecommunications industry as they provide services at an affordable rate to customers and work with Mobile Network Operators (MNOs) who own the telecommunication infrastructure. This is because Mobile Network Operators sell airtime at wholesale rates to Mobile Virtual Network Operators. The Mobile Virtual Network Operators retain their brand name whilst having an arrangement with their host who is the Mobile Network Operator (MNO). This article therefore identifies the bottlenecks experienced by MNOs in establishing relationships with MVNOs in Nigeria. The article also covers the various forms of MVNO business models available in the industry and the types of policies that support the MVNO success and sustainability.
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3

Ouyang, Ye, and M. Hosein Fallah. "An Analysis of Traffic and Throughput for UMTS Packet Core Networks." International Journal of Interdisciplinary Telecommunications and Networking 2, no. 2 (2010): 1–26. http://dx.doi.org/10.4018/jitn.2010040101.

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Mobile packet services are penetrating mobile markets rapidly. The mobile industry relies heavily on data services to replace traditional voice services. Designing a reliable packet service network is critical to the mobile operators’ ability to maintain their core competence in a data service market. The current literature provides many practical tools and theoretical methods to design, plan and dimension Global System for Mobile Communications (GSM) and Universal Mobile Telecommunications System (UMTS) radio networks but overlooks the algorithms of network plan and dimensioning for the core networks. This paper introduces the algorithms to dimension the throughput for packet switched domain of a UMTS network. The analysis is based on the traffic and data throughput generated and absorbed in the interfaces of network entities in UMTS PS network. A case study is provided to verify the algorithms created for UMTS PS network. This paper provides UMTS PS network operators an optimum network size and network structure to deliver an optimum quality of service for users.
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4

Sorooshian, Shahryar. "Business Ethics for Mobile Network Operators." Science and Engineering Ethics 24, no. 1 (2017): 333–34. http://dx.doi.org/10.1007/s11948-017-9878-2.

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5

Conti, J. P. "Orange alert [mobile virtual network operators]." Communications Engineer 3, no. 3 (2005): 22–24. http://dx.doi.org/10.1049/ce:20050303.

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6

Ukoette Jeremiah Ekah and Chibuzo Emeruwa. "Guaging of key performance indicators for 2G mobile networks in Calabar, Nigeria." World Journal of Advanced Research and Reviews 12, no. 2 (2021): 157–63. http://dx.doi.org/10.30574/wjarr.2021.12.2.0550.

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The increase in the number of mobile subscribers, coupled with the increase in mobile services is enough reason to monitor the QoS of mobile network operators frequently. This work looks into the QoS of network operators in Calabar, Nigeria, taking into consideration some KPIs ((CSSR, DCR, CST, HOSR, and network quality and network coverage). Analysis of data obtained after a benchmarking drive test shows that Globacom network was within NCC performance threshold for all network KPIs monitored. Also, MTN network performed poorly in HOSR but met the minimum benchmark in other network KPIs. Airtel network failed in the required DCR benchmark but was within the minimum benchmark for other KPIs while 9mobile failed in CSSR and DCR performance threshold but met the performance threshold for other KPIs. This result will be useful to the regulatory body, NCC, those in academic, RF engineers, network subscribers and especially, the network operators which we expect, will optimize their networks immediately.
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7

Ukoette, Jeremiah Ekah, and Emeruwa Chibuzo. "Guaging of key performance indicators for 2G mobile networks in Calabar, Nigeria." World Journal of Advanced Research and Reviews 12, no. 2 (2021): 157–63. https://doi.org/10.5281/zenodo.5716638.

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The increase in the number of mobile subscribers, coupled with the increase in mobile services is enough reason to monitor the QoS of mobile network operators frequently. This work looks into the QoS of network operators in Calabar, Nigeria, taking into consideration some KPIs ((CSSR, DCR, CST, HOSR, and network quality and network coverage). Analysis of data obtained after a benchmarking drive test shows that Globacom network was within NCC performance threshold for all network KPIs monitored. Also, MTN network performed poorly in HOSR but met the minimum benchmark in other network KPIs. Airtel network failed in the required DCR benchmark but was within the minimum benchmark for other KPIs while 9mobile failed in CSSR and DCR performance threshold but met the performance threshold for other KPIs. This result will be useful to the regulatory body, NCC, those in academic, RF engineers, network subscribers and especially, the network operators which we expect, will optimize their networks immediately.
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8

Sabat, Hemant K. "Why Mobile Wireless Carriers Share Networks and Services Provisioning." International Journal of Interdisciplinary Telecommunications and Networking 2, no. 3 (2010): 18–50. http://dx.doi.org/10.4018/jitn.2010070102.

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This paper provides a theory that empirically examines why mobile wireless carriers share the costs of building networks and provisioning wireless services. Of the cost drivers of network operators, the most influential on the industry’s dynamics are capital investments, which include network infrastructure investments. As the industry evolves, players strive to streamline their services, applications, revenue, and business models to revive this industry. In this regard, one model in particular is the network operators’, which shares network investments and service provisioning expenses to reduce their total expenditures while strengthening their financial liquidity. In this paper, the authors integrate research results to provide a new theory on network sharing with concepts and viewpoints that have been developed based on extensive studies of network sharing adopted by network operators and service providers across the world during the past decade.
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9

Granelli, Fabrizio, and Riccardo Bassoli. "Autonomic Mobile Virtual Network Operators for Future Generation Networks." IEEE Network 32, no. 5 (2018): 76–84. http://dx.doi.org/10.1109/mnet.2018.1700455.

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10

Zha, Yanfang. "Key Technologies of Cache and Computing in 5G Mobile Communication Network." Wireless Communications and Mobile Computing 2021 (September 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/3099272.

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The deployment of cache and computing resources in 5G mobile communication networks is considered as an important way to reduce network transmission delay and redundant content transmission and improve the efficiency of content distribution and network computing processing capacity, which has been widely concerned and recognized by academia and industry. Aiming at the development trend of cache and computing resource allocation in 5G mobile communication networks, in order to improve the efficiency of content cache and reduce network energy consumption, a 5G network cache optimization strategy based on Stackelberg game was proposed, which modeled network operators and content providers as multimaster and multislave Stackelberg game model. Providers buy base station storage space from network operators to cache popular content. In this paper, we construct the strategy space and profit function of the two sides of the game and prove the existence of Nash equilibrium solution among content providers given a set of base station rental prices of network operators. In this paper, distributed iterative algorithm is used to solve the game model, and the optimal base station pricing of network operators and the optimal base station occupancy rate of content providers are obtained.
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11

Hillary, Ekisa Nambanga, and Li Jianpei. "Threat of Entry, Complete Information and Pricing." International Journal of Science and Business 5, no. 5 (2021): 161–82. https://doi.org/10.5281/zenodo.4787934.

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This paper analyses the impact of new market entrants on the pricing patterns of the mobile network operators in the East African Community under complete information. The study verifies whether incumbent mobile network operators within the East African Community engage in limit pricing when faced with threat of entry by analysing the pricing patterns of 21 incumbent mobile network operators for the period 2000-2019 within the Community&rsquo;s member states. The study examines panel data using geographical distance as a proxy to the threat of entry. The results reveal that the pricing patterns of incumbent mobile network operators are consistent with limit pricing. <strong> </strong>
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12

Yeo, Woon-Young, Sang-Min Lee, Gyung-Ho Hwang, and Jae-Hoon Kim. "Coexistence of 3G Repeaters with LTE Base Stations." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/185372.

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Repeaters have been an attractive solution for mobile operators to upgrade their wireless networks at low cost and to extend network coverage effectively. Since the first LTE commercial deployment in 2009, many mobile operators have launched LTE networks by upgrading their 3G and legacy networks. Because all 3G frequency bands are shared with the frequency bands for LTE deployment and 3G mobile operators have an enormous number of repeaters, reusing 3G repeaters in LTE networks is definitely a practical and cost-efficient solution. However, 3G repeaters usually do not support spatial multiplexing with multiple antennas, and thus it is difficult to reuse them directly in LTE networks. In order to support spatial multiplexing of LTE, the role of 3G repeaters should be replaced with small LTE base stations or MIMO-capable repeaters. In this paper, a repeater network is proposed to reuse 3G repeaters in LTE deployment while still supporting multilayer transmission of LTE. Interestingly, the proposed network has a higher cluster throughput than an LTE network with MIMO-capable repeaters.
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13

Dalgitsis, M., N. Cadenelli, M.A. Serrano, N. Bartzoudis, L. Alonso, and A. Antonopoulos. "Cloud-Native Orchestration Framework for Network Slice Federation Across Administrative Domains in 5G/6G Mobile Networks." IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73, no. 7 (2024): 9306–19. https://doi.org/10.1109/TVT.2024.3362583.

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The recent advancements in cellular Vehicle-to-everything (C-V2X) and edge computing paradigms foster novel use cases for connected and automated vehicles that come with strict performance requirements. These guarantees can be provided by network slicing, which is currently enabled by the virtualization and cloudification of mobile networks, following the 5G/6G core service-based approach and the cloud-native Open Radio Access Network (O-RAN) principles. However, a significant challenge arises when considering the movement of end users: ensuring network slice continuity as they transition between different network operators. In this paper, we introduce a novel cloud-native orchestration framework for network slice federation that incorporates well-defined interfaces to exchange federated service and slice resource templates among operators. The proposed framework is fully compliant with i) standardized slice service models, and ii) GSMA efforts that are building the fundamental aspects for Edge Federation to allow the sharing of network resources across mobile operators. To validate our approach, we have designed and deployed a cloud-native federated 5G experimental platform. An extensive series of experiments have been carried out, revealing that the federation implementation directly influences federation time, and the operator's slice deployment strategy significantly impacts both infrastructure and end user performance.
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14

Vesselkov, Alexandr, Heikki Hämmäinen, and Juuso Töyli. "Multihoming with Dynamic Mobile Network Selection." International Journal of Business Data Communications and Networking 14, no. 2 (2018): 17–32. http://dx.doi.org/10.4018/ijbdcn.2018070102.

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This article describes how mobile operators occasionally fail to provide adequate service quality due to network overload, blackouts, or coverage white spots. Customers can increase the quality of connections by multihoming, i.e. using subscriptions of several operators. Multihoming is facilitated by an innovative reprogrammable embedded SIM (eSIM) that can enable dynamic switching between networks. Although eSIM multihoming is advantageous, its future is not definite, as it is affected by multiple factors and actors with conflicting business interests. This paper defines scenarios for the evolution of eSIM multihoming and its possible impact on competition by constructing qualitative system dynamics models based on expert interviews. The results show that depending on market conditions and actions of stakeholders, multihoming may reach high diffusion, find application in special use cases, or fail to take off. With high diffusion, competition between operators will become more dynamic, and market share will be defined by the number of served sessions.
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15

Ronny, Ronny, and Sartika Djamaluddin. "Effect of PNBP Policy on The financial Performance of Cellular Mobile Network Operators." Jurnal Ilmiah Manajemen dan Bisnis 9, no. 3 (2023): 292. http://dx.doi.org/10.22441/jimb.v9i3.21573.

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Digital transformation is one of the programs initiated by the Government, which in practice requires the support of healthy mobile network operators through financial performance indicators, to fulfill the development of telecommunications infrastructure in all regions. Mobile network operators require significant capital to provide telecommunications infrastructure, including payment of Non-Tax State Revenue (PNBP) to the government every year, which continues to increase due to frequency allocation and telecommunications activities. The aim of this research is to measure the estimated influence of PNBP policy on the financial performance of mobile network operators in Indonesia, while considering several other control variables such as investment costs (CAPEX), number of subscribers, liabilities, number of base transceiver stations (BTS), and number of mobile network operators. This research uses panel data regression with a fixed effect model approach, covering four mobile network operators from 2010 to 2022. The results show that PNBP, sourced from the obligation to pay Spectrum Frequency Usage Fee, has a significant negative impact on financial performance. These findings are also consistent with the research conducted by Katz and Jung (2023)
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16

ANNA, ANGELOGIANNI, POLITIS ILIAS, MOHAMMADI FARNAZ, and XENAKIS CHRISTOS. "On Identifying Threats and Quantifying Cybersecurity Risks of Mnos Deploying Heterogeneous Rats." IEEE ACCESS 8 (December 16, 2020): 224677–701. https://doi.org/10.1109/ACCESS.2020.3045322.

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Wireless networks constitute a significant attack vector for adversaries due to their wide usage in our everyday life. As the fifth generation of wireless networks reaches maturity, several vulnerabilities affecting earlier generations have been resolved. Nevertheless the coexistence of legacy wireless technologies is giving rise to the risk of allowing adversaries to perform downgrade attacks, thus bypassing the improved security of the state-of-the-art communication networks. Vulnerabilities due to the trade-off between security and usability could also exist in the latest wireless networking technologies; hence mobile network operators need to be aware of the risks related to both protocol vulnerabilities and configuration defects. This paper proposes a methodology for the systematic identification of vulnerabilities associated with wireless access protocols and systems and the quantitative evaluation of the resulting risks for mobile operators using attack trees, while considering the current legislative frameworks. The proposed methodology has been designed to aid both, mobile operators towards planning more effective cybersecurity strategies and adopting efficient defences to minimise the probability of an attack and predict its impact on the operational, market and business aspects of mobile network operators. The proposed risk assessment analysis is evaluated over three distinct vertical scenarios, namely an emergency call, a high-speed train commute and a massive public event, with the most relevant threats and their impact being measured and discussed. The evaluation of the model revealed significant results for mobile network operators that are deploying a mix of legacy and state of the art cellular technologies.
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17

Liu, Lixin, Yuanjie Li, Hewu Li, et al. "Democratizing Direct-to-Cell Low Earth Orbit Satellite Networks." GetMobile: Mobile Computing and Communications 28, no. 2 (2024): 5–10. http://dx.doi.org/10.1145/3686138.3686140.

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The emergent Direct-to-cell Low Earth Orbit (LEO) satellites promise to eliminate cellular coverage dead zones by enabling direct network access to our regular phones and IoTs everywhere on Earth via 4G, 5G, and beyond. However, their large-scale deployment can be impeded by scarce orbital slots in space, a lack of licensed cellular spectrums, and prohibitive capital costs for satellite deployment and operation. This article explores how to enable multi-tenant direct-to-cell LEO satellites as a cost-effective win-win solution for satellite operators, mobile operators, and users. We demonstrate that the state-of-the-art cellular networks' stateful hop-by-hop session-based architecture restricts the LEO satellite multi-tenancy. To remove this technical barrier, we propose MOSAIC [1], an alternative scheme to shift from the hop-by-hop session-based cellular service to pay-as-you-go satellite self-service. MOSAIC lets mobile operators supply their users with one-time digitally signed tokens as "coins" to pay for local satellite access on demand. Any satellite operator's authentic satellite can accept these tokens to serve this user without pre-establishing sessions or contacting mobile operators. Akin to cloud computing, this paradigm lets satellite operators flexibly lease their satellites to more mobile operators or higher revenues and return on investment, and allows mobile operators and users to enjoy competitive satellites for complementary coverage and cost optimizations. Our evaluations with the real satellite data and commodity 3GPP NTN protocol stack validate MOSAIC's scalability and performance advantages compared to the state-of-the-art.
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18

Østerbø, Olav, and Ole Grøndalen. "Benefits of Self-Organizing Networks (SON) for Mobile Operators." Journal of Computer Networks and Communications 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/862527.

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Self-Organizing Networks (SON) is a collection of functions for automatic configuration, optimization, diagnostisation and healing of cellular networks. It is considered to be a necessity in future mobile networks and operations due to the increased cost pressure. The main drivers are essentially to reduce CAPEX and OPEX, which would otherwise increase dramatically due to increased number of network parameters that has to be monitored and set, the rapidly increasing numbers of base stations in the network and parallel operation of 2G, 3G and Evolved Packet Core (EPC) infrastructures. This paper presents evaluations on the use of some of the most important SON components. Mobile networks are getting more complex to configure, optimize and maintain. Many SON functions will give cost savings and performance benefits from the very beginning of a network deployment and these should be prioritized now. But even if many functions are already available and can give large benefits, the field is still in its infancy and more advanced functions are either not yet implemented or have immature implementations. It is therefore necessary to have a strategy for how and when different SON functions should be introduced in mobile networks.
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19

Segat, Carlo, and Sandro Rodriguez Garzon. "TelcoID: Mobile Network Operators as Identity Providers." Procedia Computer Science 241 (2024): 409–14. http://dx.doi.org/10.1016/j.procs.2024.08.056.

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20

Mazalov, Vladimir, Andrey Lukyanenko, and Andrei Gurtov. "Location–Price Competition in Mobile Operator Market." International Game Theory Review 21, no. 03 (2019): 1850015. http://dx.doi.org/10.1142/s0219198918500159.

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In this paper, we propose a game-theoretic model of the mobile network market. The market is presented by three sides: primary mobile network operators (MNO), mobile virtual network operators (MVNO) and consumers of the services. MVNO are mobile operators without their own infrastructure. They buy resources from MNO and compete with other MVNO for the consumers selling a service in the mobile network market. We construct a two-stage game. In the first stage, MVNO (players) select the MNO, one or several, and then announce the price for their service for the consumers in this MNO. After the profile of prices is determined, the consumers are distributed among MVNOs following the logistic function. The equilibrium in this two-stage game is constructed. For identical consumers, the analytic formulas for the solution are derived.
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21

Akanni, J., A. A. Isa, R. A. Alao, and C. T. Thomas. "Assessment of Internet Service Provided using UMTS operators at the University of Ilorin main campus." Nigerian Journal of Technology 39, no. 2 (2020): 500–505. http://dx.doi.org/10.4314/njt.v39i2.20.

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Over the years the need for mobile broadband had seen a great increment due to the demand of internet mobile users. In this research work, data size for Internet operation on UMTS mobile network operators on the University of Ilorin Campus was assessed. The study assessed three UMTS network operators using an Infinix T627 android smart phone and RantCell App. to measure the download and upload at the selected points on the University of Ilorin Campus. It was observed that the number of active subscribers with their relative position in a cell have a great effect on the performance of the networks and therefore, the authors recommend the need for the operators to improve their data sizes so as to enhance users’ satisfaction.&#x0D; Keywords: GSM, CDMA, ISP, PS, UMTS.
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22

Zhang, Yan, and Jun Hui He. "Research on the Mobile Net Business Knowledge Sharing Strategy of Fraud Evade." Applied Mechanics and Materials 631-632 (September 2014): 1171–73. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.1171.

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Mobile commerce fraud to the rapid development of e-commerce has brought new challenges, network operators knowledge sharing environment to be studied under the law. Research and analysis network operators group dynamic evolution of knowledge sharing strategy for fraudulent evasion of the conclusion shows that network operators group for fraudulent evasion of knowledge sharing strategy forms of instability, there is a virtual community of network operators and the initial high initial knowledge sharing knowledge sharing and low multiple modes coexistence, and finally from the perspective of network operators for evolutionary chain of fraudulent evasion put forward the corresponding countermeasures.
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23

Katsigiannis, Michail. "Mobile Network Offloading." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 3 (2012): 40–53. http://dx.doi.org/10.4018/jitn.2012070103.

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The mobile data traffic growth and the high fraction of indoor-generated traffic push mobile operators to devise new deployment strategies such as mobile network offloading. The purpose of this paper is to evaluate the energy consumption and the deployment cost, based on the demanded traffic level, for a joint macro-femtocell network which enables mobile network offloading in Helsinki Metropolitan Area by 2015. This deployment is compared to an optimized only macro cellular network. The study tries to resolve under what conditions, in terms of demanded traffic, deployment cost and energy consumption, a mobile operator should deploy femtocells. Assuming that only the new network infrastructure is installed by 2015, the results show that wide-to-local area offloading is beneficial for a mobile operator to handle the mobile data traffic growth, reduce the deployment costs and the energy consumption of the radio access network.
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24

Arhouma, Ashraf Kamal, and Saleh M. Amaitik. "Decision Support System for Alarm Correlation in GSM Networks Based on Artificial Neural Networks." Conference Papers in Engineering 2013 (May 27, 2013): 1–7. http://dx.doi.org/10.1155/2013/958926.

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As mobile networks grow in size and complexity, huge streams of alarms are flooding the operation and maintenance center (OMC). Thus, the operator needs a decision support system that converts these massive alarms to manageable magnitudes. Alarm correlation is very important in improving the service and the efficiency of the maintenance team in mobile networks and in modern telecommunications networks. As any fault in the mobile network results in a number of alarms, correlating these different alarms and identifying their source are a major problem in fault management. In this paper, an artificial neural network model is proposed to interpret the alarm stream, thereby simplifying the decision-making process and shortening the operator's reaction time. MATLAB program is used as programming tool to develop, implement, and compare between different types of designed artificial neural network models. To assist the operators to take fast decision and detect the root cause of the alarms, the alarms and the result of the artificial neural networks model are visualized in real time on the Google Earth application.
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25

Sacoto Cabrera, Erwin, Luis Guijarro, and Patrick Maillé. "Game Theoretical Analysis of a Multi-MNO MVNO Business Model in 5G Networks." Electronics 9, no. 6 (2020): 933. http://dx.doi.org/10.3390/electronics9060933.

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This paper analyzes the economic feasibility of a business model for multi-Mobile Network Operators (MNOs) and Mobile Virtual Network Operators (MVNOs), which is an envisioned scenario in mobile telecommunications markets supported by 5G networks. A business model for the provision of service to end-users through an MVNO using the infrastructure support of two MNOs is proposed. We analyze the proposal though a model that captures both system and economic features. As regards the systems features, an MVNO provides service to final users using the infrastructure support of two MNOs. The agreement between MVNO and MNOs is such that the MVNO will split the network traffic between the two MNOs and will pay to each MNO for the traffic served through its infrastructure. As regards the economic features, the incentives are modelled through the user utilities and the operators’ profits; and game theory is used to model the strategic interaction between the users’ subscription decision and the MNO network capacities decision. We conclude that such a model is feasible from an economic point of view for all the actors.
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Burgueño, Jesús, Isabel de-la-Bandera, Jessica Mendoza, David Palacios, Cesar Morillas, and Raquel Barco. "Online Anomaly Detection System for Mobile Networks." Sensors 20, no. 24 (2020): 7232. http://dx.doi.org/10.3390/s20247232.

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The arrival of the fifth generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are currently being deployed to increase the frequency reuse. In this way, the number of nodes that collect performance data is being further risen, so the number of metrics to be managed and analyzed is being highly increased. Therefore, it is fundamental to have tools that automatically inform the network operator of the relevant information within the vast amount of metrics collected. The continuous monitoring of the performance indicators and the automatic detection of anomalies is especially important for network operators to prevent the network degradation and user complaints. Therefore, this paper proposes a methodology to detect and track anomalies in the mobile networks performance indicators online, i.e., in real time. The feasibility of this system was evaluated with several performance metrics and a real LTE Advanced dataset. In addition, it was also compared with the performances of other state-of-the-art anomaly detection systems.
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Földes, Gábor. "Techno-economic analysis on Mobile Network Sharing contribution to social welfare at 4G-5G area in Hungary." Infocommunications journal 15, no. 1 (2023): 87–97. http://dx.doi.org/10.36244/icj.2023.1.9.

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Telecommunication sector faces to parallel investments into both fixed and mobile (5G) networks, however return on investments lag behind profit expectations. Co-investment, like mobile network sharing is a cost efficiency enabler that may accelerate price decrease, may allow earlier, higher coverage and may improve capacity and quality parameters, like download speed, therefore altogether contributes to social welfare increase. The purpose of this paper to assess the Hungarian mobile network sharing that not cleared by the competition regulator, however has been placed in unchanged form for 8 years. The research question is to assess what is the connection between mobile network sharing and social welfare improvement at 4G - 5G mobile broadband rollout. The finding is that, majority of network sharing procompetitive effects allowing benefits, but anticompetitive effects not causing marked distortion. Affordable connectivity prices for information society roots in operators’ cost efficiency, however further research required to assess proper level of efficiency gains pass through to customers and appropriate level of access pricing to shared infrastructure for other rival operators in Hungary. Mobile Network Sharing’s benefits may outweigh potential drawbacks, but due to lack of regulatory clearance, 5G rollout launched without sharing, causing social welfare loss. The originality of the empirical research is despite network sharing not cleared, procompetitive advantages may outweigh anticompetitive ones.
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Okoro, Chibueze, and Dayo J. Oluloro. "Performance Evaluation of Mobile Network Service Delivered Within Federal Polytechnic Bali and Its Environs; With a Focus on 2G and 3G Technologies." International Journal of Research and Innovation in Applied Science IX, no. III (2024): 261–73. http://dx.doi.org/10.51584/ijrias.2024.90325.

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Monitoring the QoS (Quality of Service) of mobile network service providers is key if end users must derive maximum satisfaction from the numerous mobile services provided to them. In this research, data was collected via drive test, using mobile phones, Test Mobile System (TEMS) software a technology used by telecom operators to measure, analyze, and optimize their mobile networks, and Mapinfo software for post processing. For 2G technology, four parameters were analyzed which are Rx Lev (Received Signal Level), and Rx Qual (Received Signal Quality), while for 3G technology three parameters were analyzed which are RSCP (Received Signal Code Power), Ec/Io, and downlink throughput. The serving cells, Broadcast control channels as well as the Primary scrambling codes for all mobile network operators were recorded. The data collected was for MTN, Airtel and GLOBACOM (Glo) Networks, and the area of study comprised Bali metropolis, Maihula, Gazuba and Garbabi. It was deduced that the Rx_Lev range of negative 10dBm to negative 65dBm covered just 4.53%, 4.31% and 6.62% of the total route driven for MTN, Airtel and Glo respectively, which falls below the 75% requirement by the Nigerian Communication Commission (NCC). It was recommended amongst others the physical optimizations be carried out for PSC 19, 46, 70, 205, 313, 368 in order to improve coverage, quality and downlink throughput. The results of this study have practical implications for all mobile network operators within the area of study as it provides valuable information enabling them to enhance their network infrastructure and services in order to meet set key performance indicators (KPIs) by the regulator, as well as ensure user derive satisfaction.
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29

Ukoette, Jeremiah Ekah, and Emeruwa Chibuzo. "A comparative assessment of GSM and UMTS Networks." World Journal of Advanced Research and Reviews 13, no. 1 (2022): 187–96. https://doi.org/10.5281/zenodo.5893972.

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It is common knowledge that the transition of mobile networks from one generation to another is basically for the improvement in the network&rsquo;s Quality of Service (QoS). Bearing this in mind, we will assumme that the Universal Mobile Telecommunication System (UMTS) will outperform the Global System for Mobile Communication (GSM), hence, the motivation to conduct this study in Calabar, Nigeria, for four mobile networks; MTN, Airtel, Globacom and 9mobile. With the aid of a TEMS investigation software installed in a laptop, a measurement campaign was carried out and log files collected, with focus on Call Setup Success Rate (CSSR), Dropped Call Rate (DCR), Handover Success Rate (HOSR), Call Setup Time (CST), network coverage and network quality. The collected data was analyzed with the aid of a TEMS discovery software. The analyzed data for each Key Performance Indicator (KPI) was compared with the minimum benchmark of the telecommunications regulatory body, the Nigerian Communication Commission (NCC). Result reveal that there was no outright improvement in the QoS and there was fluctuation in the QoS provided by the network operators. We therefore conclude that the network operators, either did not make accurate planning before installing their base stations or do not optimize their networks frequently and this led to poor QoS in most cases.
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Chmieliauskas, Darius, and Šarūnas Paulikas. "Video Stream Recognition Using Bitstream Shape for Mobile Network QoE." Sensors 23, no. 5 (2023): 2548. http://dx.doi.org/10.3390/s23052548.

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Video streaming service delivery is a challenging task for mobile network operators. Knowing which services clients are using could help ensure a specific quality of service and manage the users’ experience. Additionally, mobile network operators could apply throttle, traffic prioritization, or differentiated pricing. However, due to the growth of encrypted Internet traffic, it has become difficult for network operators to recognize the type of service used by their clients. In this article, we propose and evaluate a method for recognizing video streams solely based on the shape of the bitstream on a cellular network communication channel. To classify bitstreams, we used a convolutional neural network that was trained on a dataset of download and upload bitstreams collected by the authors. We demonstrate that our proposed method achieves an accuracy of over 90% in recognizing video streams from real-world mobile network traffic data.
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Harsh Manglik, Kumar Ranjan, Raghav Narsalay, and Svenja Falk. "Wanted: New Business Models for Profitable Expansion of Mobile Telephony in Rural India." Journal of Technology Management for Growing Economies 1, no. 2 (2010): 49–69. http://dx.doi.org/10.15415/jtmge.2010.12012.

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Mobile network operators' agendas for profitable growth include expansion into rural areas of developing countries, especially India. However, capitalizing on that opportunity will not be easy. Our research suggests that operators have yet to create and implement business models capable of driving profitable growth through rural expansion. We found that mobile network operators hold some mistaken assumptions about rural consumers’ needs and desires regarding mobile services. To achieve profitable growth and high performance through rural expansion, operators must develop a more accurate understanding of the mobile value proposition in rural communities, as well as potential barriers to adoption. . Mobile operators in rural markets must also build business models that work in the short term as well as the long term. Sacrificing short-term revenues to expand market footprint may not be the best strategy, because stiffening competition in urban markets will likely prevent operators from cross-subsidizing their rural expansion strategies. This report serves as a “midpoint review” of some key presumptions, strategies and models companies have used to drive their rural strategies over recent years.
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Abbasian, Ezzatollah, and Ali Mohebbi. "Transformation Toward Technology Company (Techco), a Framework for Mobile Network Operators in Iran." Journal of Investment, Banking and Finance 2, no. 1 (2024): 01–11. http://dx.doi.org/10.33140/jibf.02.01.13.

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Sharing, outsourcing, and partnership are shown as solutions to increase efficiency. Mobile Network Operators (MNO), used to outsource some functions and make partnerships, but the sharing perspective is still not clear. This paper aims to provide a framework in which MNOs share and utilize their resources more efficiently. Qualitative research was done through the analysis of website reports, documents, and interviews to find MNOs' current and future strategic focus as well as the dimensions of a united network. The MNOs' two main strategies are enhancing core business and developing digital services. The article found an overall paradigm of the sharing resources (network and frequency) as well as some signals for business model evolution. It introduces a two-component framework in which a United Network is created to enhance core business and a new business model to develop digital services. It bolds the importance of network efficiency and the barriers, needs, and motivations of the United Network. To increase efficiency, the industry needs a coopetition framework in which a trust company that is a subsidiary of MNOs, maintains and develops a united network, and the Techcos compete to develop digital services.
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Pauliukas, Arvydas, and Volodymyr Kuzhel. "THE IMPACT OF MOBILE NETWORK SETTINGS ON THE POWER CONSUMPTION OF VEHICLE REMOTE CONTROL UNITS." Journal of Mechanical Engineering and Transport 13, no. 1 (2021): 94–101. http://dx.doi.org/10.31649/2413-4503-2021-13-1-94-101.

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The article is devoted to the study of the influence of mobile network settings on the energy consumption of electronic car control units. Signal quality and mobile network coverage are also important for both users and automotive devices that use real-time information from the network using cloud technologies to transmit, process and store data. For the quality of service measurements, Communications Regulatory Authority uses just HTTP data transmission (receipt) speed rate values in the operators’ UMTS (3G) networks (as CRA stated in annual report). But speed is not everything as many consumers in the industry are experiencing recently. In addition, improvements now also revolve about reducing the signaling load incurred when a radio bearer is established, modified or released. Another area for improvements is the signaling overhead on the air interface when little data is transferred as it consumes resources and causes battery drain from the mobile phone's point of view. The authors focused on the UMTS (the Universal Mobile Telecommunications System) 3G network, which is among the most popular 3G mobile communication technologies. We explore the RRC state machine of large cellular networks which operate in Lithuania. Note that in UMTS network, the centralized core network (CN) is responsible for ensuring switching and routing for the end users traffic. All Network management functions and required databases are also implemented in core network. The core network domain is further divided into sub categories: serving network domain, home network domain and the transit network domain. It consists of two kinds of General Packet Radio Service (GPRS) Support Nodes (GSNs), in 3GPP named as Gateway GSN (GGSN) and Serving GSN (SGSN) (Figure 1). SGSN is the central node of the packet switched (PS) domain. It provides for routing functionality and interacts with databases (like Home Location Register (HLR)) and manages many Radio Network Controllers (RNCs). So the authors were researching the RRC machines of Lithuanian cellular operators’ networks. The purpose of those experiments was to identify which network could provide a best user internet browsing experience, best user equipment battery consumption feature and best radio network resource utilization scheme. We can state, that comparing all these partitions, Operator2 has the optimal configuration for user experience, UE device battery consumption and network resource utilization of RRC state machine point of view.
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34

Zhanayeva, S. B. "Data preparation for a neural network model." Herald of the Siberian State University of Telecommunications and Informatics 16, no. 4 (2023): 69–79. http://dx.doi.org/10.55648/1998-6920-2022-16-4-69-79.

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One of the features of the mobile data network operators is the need for continuous monitoring and maintenance of equipment and communication channels. The equipment failures that sometimes occur increase the cost of operation and reduce customer loyalty. The ability to predict network malfunctions in advance would be a great solution for mobile operators. The paper discusses the issue of preliminary data preparation of 4G+ mobile network for further use in the development of a neural network model for predicting malfunctions. The results of the analysis of the collected data are presented, the characteristics, composition and data structure that may affect the training of the neural network model later are shown.
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35

Zonouzirad, Mahmoud, Ghasemali Bazaei, and Peyman Adl. "Critical Success Factors of Mobile Virtual Network Operators." Journal of Research in Science, Engineering and Technology 4, no. 02 (2019): 17–20. http://dx.doi.org/10.24200/jrset.vol4iss02pp17-20.

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“Mobile Virtual Network Operator”;(MVNO) is a provider of wireless communications services who doesn’t own the wireless network infrastructure.MVNO provide services on the “Mobile Network Operator’s”;(MNO)’s infrastructure. An MVNO enters into a business agreement with a mobile network operator (MNO) to utilize its unused capacity and provides various servicesto obtain it’sportion ofmarket. An MVNO join in an agreement/contract with a mobile network operator (MNO) enabling its unused capacity to provide various services and gain its portion of market. An MVNO may use its own customer service, billing support systems, marketing and sales personnel or it may employ the services of a “mobile virtual network enabler”(MVNE). The Goal of this research/article is to identify and prioritize the “Critical Success Factors” (CSF*) of Mobile Virtual Network Operator (MVNO) in Iran. To touch this goal; most famous MVNO’s and their critical success factorsfrom all over the world are main pattern of our viewpoint. For data gathering point of view in this research I have created a questionaries’ with 40 questions, and have used online questionnaire tool in Google website named “Google Drive”. For implementing this research;As a sample of statistical society, I have been selected 93/125 senior expertise and managers of different departments of Rightel“The first Iranian 3G Mobile Operator”based on Cochran's formulas. The research’s variables are Brand, Distribution System, Innovation, Financial status, Quality of service, Network generation and proper price and tariff as CSF’s for implementing MVNO’s.In this statistics research questionnaire, Cronbach'sα(alpha) is a coefficient of internal consistency and reliability. It is commonly used as an estimate of the reliability of a psychometric test for a sample of examinees Cronbach’s Alpha which is .91 of all of the questionnaire in this research. For validity of questionnaireI asked some of senior managers and university PhD level instructors,for analyzing the results of this research we have used one sample T-test method and for more reliability, used 2nd grade sentence test as well. The result of this research was the all mentioned variables are identified as CSF of MVNO’s and ranking of CSF’s are: 1- Quality of service, 2- Innovation, 3- proper price and tariff, 4- Distribution System, 5- Network generation, 6- Brand, 7- Financial status.
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36

Gehlen, Guido, Fahad Aijaz, Yi Zhu, and Bernhard Walke. "Mobile P2P Web Services Using SIP." Mobile Information Systems 3, no. 3-4 (2007): 165–85. http://dx.doi.org/10.1155/2007/427831.

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Telecommunication networks and the Internet are growing together. Peer-to-Peer (P2P) services which are originally offered by network providers, like telephony and messaging, are provided through VoIP and Instant Messaging (IM) by Internet service providers, too. The IP Multimedia Subsystem (IMS) is the answer of the telecommunication industry to this trend and aims at providing Internet P2P and multimedia services controlled by the network operators. The IMS provides mobility and session management as well as message routing, security, and billing.
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37

Katsigiannis, Michail, and Constantinos Valagiannopoulos. "Demand Curves and Operator Strategies in the Finnish Mobile Broadband Market." International Journal of Business Data Communications and Networking 10, no. 1 (2014): 30–46. http://dx.doi.org/10.4018/ijbdcn.2014010102.

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Finland, among the first to adopt mobile broadband services, faces rapid growth of mobile data traffic. Therefore, Finnish mobile operators continually invest in their radio access networks to handle this growth, which represents an attractive revenue source. This study presents a demand curve estimate for mobile broadband data traffic, which takes into account the impact of technology evolution on network coverage and capacity. Based on the demand curve and the market equilibrium, this study proposes two strategies for mobile operators: i) reducing the marginal cost of traffic, and ii) changing the pricing structure. Assuming that mobile operators are price-takers (perfect competition), the findings of this study indicate that a continuing reduction of marginal cost is imposed by market forces. However, this policy of cost reduction will inevitably reach its limits. Thus, this study proposes a change in pricing structure from flat-rate tariff to usage-based charging.
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38

Singh, N. P. "Operational Strategies of Ethnic Mobile Virtual Network Operators." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 1 (2012): 1–30. http://dx.doi.org/10.4018/jitn.2012010101.

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An MVNO that targets a specific community is called an ethnic MVNOs. It operates in highly saturated telecom markets with sizable expat population. Its basic objective is to further enhance competition in saturated mobile telecom markets. It is becoming popular among expat/migrant communities due to the low cost services of MVNOs in their native language. The paper presents an analysis of sixteen ethnic MVNOs with respect to their operating and marketing strategies, areas of operations, targeted communities, and their MNO partners. Further, the paper presents customer relation management strategies of ethnic MVNOs. The author also discusses a distant possibility of ethnic MVNO scenario in India with the introduction of MVNO regulation by government.
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39

Shin, Donghee, and Sungeun Chung. "Will mobile virtual network operators succeed in Korea?" info 14, no. 3 (2012): 48–67. http://dx.doi.org/10.1108/14636691211223229.

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40

Koutitas, George, George Iosifidis, Bart Lannoo, et al. "Greening the Airwaves With Collaborating Mobile Network Operators." IEEE Transactions on Wireless Communications 15, no. 1 (2016): 794–806. http://dx.doi.org/10.1109/twc.2015.2478786.

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41

Causebrook, J. H. "Mobile Phone Network Operators' Actions on RF Safety." Radiation Protection Dosimetry 83, no. 1 (1999): 171–75. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032655.

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42

Son, Pham Hai, Le Hoang Son, Sudan Jha, Raghvendra Kumar, and Jyotir Moy Chatterjee. "Governing mobile Virtual Network Operators in developing countries." Utilities Policy 56 (February 2019): 169–80. http://dx.doi.org/10.1016/j.jup.2019.01.003.

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43

Ala-Laurila, J., J. Mikkonen, and J. Rinnemaa. "Wireless LAN access network architecture for mobile operators." IEEE Communications Magazine 39, no. 11 (2001): 82–89. http://dx.doi.org/10.1109/35.965363.

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44

Samatov, Oybеk Xamzaеvich. "PROSPECTS FOR THE DEVELOPMENT OF TELEVISION BROADCASTING NETWORKS OF THE DVB-T2 STANDARD." МЕЖДУРОДНАЯ КОНФЕРЕНЦИЯ АКАДЕМИЧЕСКИХ НАУК 1, no. 22 (2022): 76–78. https://doi.org/10.5281/zenodo.6629544.

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Integration of digital television broadcasting networks and networks of mobile operators allows to improve the work single-frequency networks of both operators, to provide more service functions for the end consumer in the context of the introduction of 5G systems, as well as to avoid overloading the used network. Tests conducted in 5G experimental areas have shown positive results with this approach.
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45

Ukoette Jeremiah Ekah and Chibuzo Emeruwa. "A comparative assessment of GSM and UMTS Networks." World Journal of Advanced Research and Reviews 13, no. 1 (2022): 187–96. http://dx.doi.org/10.30574/wjarr.2022.13.1.0011.

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It is common knowledge that the transition of mobile networks from one generation to another is basically for the improvement in the network’s Quality of Service (QoS). Bearing this in mind, we will assumme that the Universal Mobile Telecommunication System (UMTS) will outperform the Global System for Mobile Communication (GSM), hence, the motivation to conduct this study in Calabar, Nigeria, for four mobile networks; MTN, Airtel, Globacom and 9mobile. With the aid of a TEMS investigation software installed in a laptop, a measurement campaign was carried out and log files collected, with focus on Call Setup Success Rate (CSSR), Dropped Call Rate (DCR), Handover Success Rate (HOSR), Call Setup Time (CST), network coverage and network quality. The collected data was analyzed with the aid of a TEMS discovery software. The analyzed data for each Key Performance Indicator (KPI) was compared with the minimum benchmark of the telecommunications regulatory body, the Nigerian Communication Commission (NCC). Result reveal that there was no outright improvement in the QoS and there was fluctuation in the QoS provided by the network operators. We therefore conclude that the network operators, either did not make accurate planning before installing their base stations or do not optimize their networks frequently and this led to poor QoS in most cases.
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46

Sumit Kumar, Ben Sujin B., K. Bhavani, Doddi Srilatha, and Ketan Anand. "Software Defined Network Based Next Generation Mobile Communication Network Architecture." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 23 (2024): 138–48. https://doi.org/10.3991/ijim.v18i23.51337.

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As mobile networks and network speeds become more prevalent, the demand for marketing strategies increases. The operators are thinking about this, and the development of 5G communication networks is one of their main concerns. As the need for higher transmission speeds increases, 5G networks face challenges of scalability and adaptability. The nextgeneration mobile network (NMCN-SDN) architecture proposed in this study is based on Software-Defined Networks (SDN). A new network model called computer-defined networking allows for dynamic network definition and programming. A network simulator is created to examine the efficiency of the built infrastructure under different network conditions, including throughput, latency, and resource consumption. In this paper, the comparison of end-toend latency between the standard communication architecture and the proposed NMCN-SDN architecture is done. The results show that the proposed architecture has less space in various conditions compared to existing communication architectures in various conditions.
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47

Shoewu, O.O. "Performance Evaluation Of Mobile Cellular Networks In Nigeria." J. of Advancement in Engineering and Technology 6, no. 3 (2018): 05. https://doi.org/10.5281/zenodo.1250262.

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The aim of this paper is to evaluate the performance of mobile networks such as MTN, GLO, and ETISALAT in Nigeria and suggest ways the performance of digital cellular networks can improve to minimize some of its present short comings or limitations. This paper discusses the performance improvement of digital cellular networks. A non- CDMA cellular network is use in an overall wireless environment for the purpose of this paper. This paper also discusses the performance assessment of three mobile network operators. In addition, ways to minimize the limitations in other to improve the performance of digital mobile networks was also discussed. Finally, suggestions were made to improve QoS of mobile networks.
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48

Jang, Yumi, and Seongcheol Kim. "Understanding Mobile OTT Service Users’ Resistance to Participation in Wireless D2D Caching Networks." Behavioral Sciences 14, no. 3 (2024): 158. http://dx.doi.org/10.3390/bs14030158.

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With the explosive pace of mobile over-the-top (OTT) video content streaming services, mobile network traffic has seen unprecedented growth in recent years. However, the limitation of antenna performance, the burden of investment cost, and restricted resources hinder improving the current mobile networks’ functionality. Accordingly, wireless device-to-device (D2D) caching networks came to the fore as one of the competitive alternatives for alleviating the overloads of mobile network traffic. Wireless D2D caching networks can be a desirable alternative for OTT service providers and telecommunication operators, but the problem is user resistance. User participation is imperative to deliver wireless D2D caching network functionality successfully. Thus, to gain a deeper understanding of user resistance toward wireless D2D caching networks and their underlying sources, this study introduces two perceived cost factors contributing to this resistance and one perceived benefit that mitigates such resistance. Based on an online survey, this study found new theoretical links among perceived costs and benefits, resistance, and participation intention. The findings reveal that user resistance is predicted by perceived costs, encompassing resource sacrifices and privacy concerns, whereas perceived benefits—specifically, perceived usefulness—did not significantly influence resistance. This implies that telecommunication operators should prioritize market requirements over technological advantages, emphasizing the potential for successful commercialization of wireless D2D caching networks.
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Syed, Sheraz, Asad Arfeen, Riaz Uddin, and Umaima Haider. "An Analysis of Renewable Energy Usage by Mobile Data Network Operators." Sustainability 13, no. 4 (2021): 1886. http://dx.doi.org/10.3390/su13041886.

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The exponential growth in mobile data traffic has resulted in massive energy usage and therefore has increased the carbon footprint of the Internet. Data network operators have taken significant initiatives to mitigate the negative impacts of carbon emissions (CE). Renewable Energy Sources (RES) have emerged as the most promising way to reduce carbon emissions. This article presents the role of renewable energy (RE) in minimizing the environmental impacts of mobile data communications for achieving a greener environment. In this article, an analysis of some selected mobile data network operators’ energy consumption (EC) has been presented. Based on the current statistics of different mobile network operators, the future energy values are estimated. These estimations of carbon emissions are based on the predicted data traffic in the coming years and the percentage consumption of energy from renewable sources by the network operators. The analysis presented in this article would be helpful to develop and implement energy policies that accelerate the process of increasing the renewable shares in total energy requirements. Incrementing the share of renewable energy in total energy requirements can be a way forward to reach Goal 7 of the United Nations Sustainable Development Goals (SDGs).
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Singh, N. P. "Competitive Landscape of Mobile Telecommunications Tower Companies in India." International Journal of Interdisciplinary Telecommunications and Networking 2, no. 1 (2010): 49–81. http://dx.doi.org/10.4018/jitn.2010010104.

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With the entry of 3G and WiMAX players, the Indian mobile subscriber base is expected to reach 1110 million by the end of 2015. To meet mobile infrastructure demand, India will require approximately 350,000 to 400,000 mobile telecommunications towers in the next 7 to 8 years. Presently only 40% of mobile telecommunications towers are shared in India. The high growth of subscribers and initial cost of mobile telecommunications towers and license conditions will force mobile network operators to share infrastructure with other mobile network operators, specifically with new operators. The Indian government has allowed sharing of passive and active components of mobile telecommunication infrastructure. With the changing demand of the telecommunications infrastructure, many new telecommunications tower business entities and companies and mobile telecommunications tower business models are being explored. In this paper, the author presents the landscape of the mobile telecommunications tower industry in India, which consists of four types of companies and trends with respect to the strategies of telecommunication tower companies, especially tenancy ratio. Emerging features of the mobile telecommunication towers industry in India are also presented.
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