Relevant bibliographies by topics / Mobile radio networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mobile radio networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Mobile radio networks"

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Gozalvez, Javier. "Heterogeneous Wireless Networks [Mobile Radio]." IEEE Vehicular Technology Magazine 6, no. 2 (June 2011): 9–13. http://dx.doi.org/10.1109/mvt.2011.941495.

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Saha, Debashis. "Handbook of Mobile Radio Networks." Computer Communications 25, no. 3 (February 2002): 343. http://dx.doi.org/10.1016/s0140-3664(01)00344-9.

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Divitskyi, Andriy, Serhii Salnyk, Vladyslav Hol, Pavlo Sydorkin, and Anton Storchak. "Development of a model of a subsystem for forecasting changes in data transmission routes in special purpose mobile radio networks." Eastern-European Journal of Enterprise Technologies 3, no. 9(111) (July 1, 2021): 116–25. http://dx.doi.org/10.15587/1729-4061.2021.235609.

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This research addressed the issue of improving the quality of service for the control system of mobile radio networks. The analysis of the forecasting sphere concerning the methods of service quality of mobile radio networks for special purposes, in particular, forecasting the time of congestion of data transmission routes is carried out. It is found that these methods are used in wired and computer networks operating at the network and data link levels. The basic parameters of the protocols of the channel and network layers of mobile radio networks are highlighted. Forecasting methods are analyzed: temporal extrapolation, causality, expert, and the main disadvantages are indicated. A model of a control system for mobile radio networks with a forecasting subsystem is shown. The features of mobile radio networks, which form the requirements for routing methods, are described. A lot of requirements have been put forward for the model of a control system for mobile radio networks. The structure of a model of a control system for mobile radio networks with an improved forecasting subsystem is proposed. On the basis of genetic algorithms, the tasks that arise in the process of identification, training and forecasting in the forecasting subsystem are solved. The operation of the processes consists in building a base of rules aimed at identifying significant dependencies in a time series based on the use of a genetic algorithm. It is based on the use of evolutionary principles to find the optimal solution. Application of the proposed model will allow real-time identification and will significantly improve the quality of service for mobile radio networks. It will increase the speed and volume of data processed during training, improve the quality and reliability of predicting changes in data transmission routes
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Типаков, Василий, Vasily Sergeevich Tipakov, Тимур Яковлев, and Timur Aleksandrovich Yakovlev. "Problems of constructing broadband radio access systems of mobile radio communication." Vestnik of Astrakhan State Technical University 2019, no. 2 (November 19, 2019): 24–30. http://dx.doi.org/10.24143/1812-9498-2019-2-24-3.

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The article is focused on the problem of degrading the signals of broadband 3G / 4G mobile radio access systems in places of subscribers clustering and in so-called “dead zones”. The analysis of the actual principles of building mobile networks has been carried out, the main disadvantages of the approaches to the development of cellular networks have been identified. The current trend of building macro cells in the urban environment has lost its effectiveness due to the increasing frequencies used; it has to be replaced by a fundamentally new way of planning mobile networks. A new principle of providing access to mobile communications “from inside to outside” is proposed, which takes into account the needs of a large number of subscribers in the premises. It is based on setting the maximum number of internal base stations fully meeting the needs of internal network users. Such a distinction will positively affect all subscribers and improve the experience from using the high-quality services of the mobile operators, which will result in increasing the economic performance
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Patkar, Ankit. "5G Wireless Technology." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1519–24. http://dx.doi.org/10.22214/ijraset.2022.40930.

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Abstract: After the up rise of 4G wireless mobile technology takes place; researchers, mobile operator industries representative, academic institutions have started to look into the advancement (technological) towards 5G communication networks due to some main demands that are meliorated data rates, better capacity, minimized latency and better QoS (Quality of Service). To established the 5G mobile communication technological foundation, various research works or projects entailing main mobile infrastructure manufacturers, academia and international mobile network operators have been introduced recently. Nevertheless, 5G mobile services to be made available for use, their architecture, and their performance have not been evidently explicated. In this paper, we represent thorough overview of 5G the next generation mobile technology. We mainly throws light on 5G network architecture, 5G radio spectrum, ultra-dense radio access networks (UDRAN), traffic offloading of mobile, cognitive radio (CR), software defined radio (SDR), software defined networking (SDN), mixed infrastructure, and 5G network impact on the society. Keywords: 5G wireless technology, evolution from 4G to 5G
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R, Valanarasu, and Christy A. "COMPREHENSIVE SURVEY OF WIRELESS COGNITIVE AND 5G NETWORKS." Journal of Ubiquitous Computing and Communication Technologies 01, no. 01 (September 13, 2019): 23–32. http://dx.doi.org/10.36548/jucct.2019.1.003.

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The tremendous progress in the wireless mobile communication devices and the continuous growth in the data rates and the usage with the entailment of enhanced performance in the network in the terms of the throughput, delay, energy utilization, data capacity, bandwidth utilization and the cost have led to the emergence of the 5G networks. The flexible transmission empowered by the cognitive radio networks make them prominent in the transmission of the applications that are significant and sensitive to latency. The paper surveys the details of the 5G network, the cognitive radio networks and the impacts in the network by having the cognitive radio in the 5G mobile wireless networks.
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Salnyk, Serhii. "Networks method of hybrid construction and support of data transmission routes in programmed tools of mobile radio communication based on neural networks." Collection "Information Technology and Security" 11, no. 2 (December 28, 2023): 239–50. http://dx.doi.org/10.20535/2411-1031.2023.11.2.293815.

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The article proposes a method of hybrid construction and support of data transmission routes in programmable means of mobile radio communication based on neural networks. Taking into account the peculiarities of the operation of mobile radio communication networks and means of communication, the article proposes to intellectualize the processes of managing data flows by using knowledge processing technologies in the construction of a control system. The construction of the control system is based on the use of neural networks, the methodology proposes three main steps of its construction, namely the method of hybrid construction of data transmission routes, the method of maintaining data transmission routes and modeling the process of construction and maintenance of data transmission routes in the network using neural networks. Unlike similar methods, which: are used in stationary communication networks with a small number of end nodes, without the possibility of monitoring the functions of data transmission routes; which are characterized by the absence of a clear decision-making hierarchy and the presence of unpredictability when applied in data transmission systems of mobile radio communication networks; do not take into account the peculiarities of the functioning of mobile radio communications. The proposed technique is able to build data transmission routes, increases the time of network operation and reduces the loading of network channels based on the application of a hybrid structure of neural network construction, by minimizing service traffic in the information direction; selection of the type, number and method of control of data transmission routes; introduction of the hierarchy of the decision-making process for the construction of the data transmission route and the selection of data parameters, taking into account the characteristic features of the use of programmable mobile communication tools to ensure the given quality of network service under different conditions of operation of mobile radio communication tools, using neural networks.
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Hailu, Dawit Hadush. "Performance Evaluation of Ethernet Network for Mobile Fronthual Networks." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 287. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp287-298.

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<p>Increasing mobile data traffic due to the rise of both smartphones and tablets has led to high-capacity demand of mobile data network. To meet the ever-growing capacity demand and reduce the cost of mobile network components, Cloud Radio Access Network (C-RAN) has emerged as a promising solution. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements imposed by Common Public Radio Interface (CPRI) and 3rd Generation Partnership Project (3GPP). This fronthaul connection is not yet provided by packet based network. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Ethernet networks for mobile fronthaul. The fronthaul requirements used to evaluate and investigate this network are maximum End to End (E2E) latency, Packet Loss Ratio (PLR) and Packet Delay Variation (PDV). The simulated results and numerical analysis confirm that the PDV and PLR of High Priority (HP) traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. However, the PDV of HP traffic meets the fronthaul network when the number of nodes in the Ethernet network is at most four. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.</p>
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Hurley, S. "Planning effective cellular mobile radio networks." IEEE Transactions on Vehicular Technology 51, no. 2 (March 2002): 243–53. http://dx.doi.org/10.1109/25.994802.

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Iraqi, Y. "Mobile Radio Networks: Networking and Protocols." Computer Communications 23, no. 13 (July 2000): 1319. http://dx.doi.org/10.1016/s0140-3664(00)00212-7.

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Dissertations / Theses on the topic "Mobile radio networks"

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Karaminas, Panagiotis D. "Array processing in mobile radio networks." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/11483.

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Giortzis, Athanasios. "Channel assignment in mobile radio networks." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266017.

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Toh, Chai-Keong. "Protocol aspects of mobile radio networks." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/273055.

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Moessner, K. "Reconfigurable mobile communication networks." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844245/.

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Telecommunication technologies and networks are constantly changing; with the introduction of the GSM system the shift from wired to wireless telephony experienced a unique boom. Since then, behaviour and communication needs of users (i.e. subscribers) have undergone rapid changes from initially the need for pure wireless voice transmission to now data and multimedia content traffic. Introduction of the 3rd Generation (UMTS/IMT 2000) promised the delivery of these services and the integration with the Internet. However, legacy technologies and networks are not likely to be replaced soon, the different wireless and wired communication and information infrastructures will co-exist and will have to work, seemingly seamless, together. The here documented research work delivers basic mechanisms supporting this integration, therefore a variety of technologies from different areas, ranging from Software Radio technology to Object-Oriented computing, have been brought together to introduce reconfigurability to mobile communication networks. Distributed object computing technologies are evaluated and their application as signalling and support platforms for reconfigureable systems is shown in different examples. Other novelties are the introduction of a protocol for download of reconfiguration software, from various software sources, these sources include Smart Cards, wired outlets and Over-The-Air. Furthermore, an object-oriented framework for flexible, 'on-the-fly' protocol exchange has been developed; the mechanisms and architecture of this framework are described within this thesis. Combining protocol reconfiguration, software download and distributed platforms and focusing on control and management of reconfiguration have led to the design and definition of a reconfiguration management architecture. Functionality and structure of this architecture are documented, and its single modules are described. Providing means and mechanisms enabling management and control of reconfiguration within reconfigureable mobile communication networks is the purpose of this thesis. KM, Guildford, July 2001 Key words: reconfiguration, reconfiguration management. Software Radio, object-orientation, middleware, CORBA, Universal Control CHannel.
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Koshi, Virtyt. "Radio planning for future mobile communication networks." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390488.

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Ko, Yiu Fai. "Digital cellular mobile radio links and networks." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280911.

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Hanly, Stephen Vaughan. "Information capacity of radio networks." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282842.

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Cohen, Alain Jerome. "Simulating virtual circuits in mobile packet radio networks." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/14904.

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Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING
Bibliography: leaf 39.
by Alain Jerome Cohen.
B.S.
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Zhao, Qiyang. "Intelligent radio resource management for mobile broadband networks." Thesis, University of York, 2013. http://etheses.whiterose.ac.uk/5518/.

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This thesis studies intelligent spectrum and topology management through transfer learning in mobile broadband networks, to improve the capacity density and Quality of Service (QoS) as well as to reduce the cooperation overhead and energy consumption. The dense deployment of small cell base stations (BSs) is an effective approach to provide high capacity density access. In the meantime, multi-hop wireless backhaul networks enable highly flexible deployment and self-organization of small cell BSs. A heterogeneous small cell access and multi-hop backhaul network is studied in this thesis as mobile broadband system architecture. Transfer learning is applied to Radio Resource Management (RRM) as an intelligent algorithm to improve the performance of conventional reinforcement learning. In transfer learning, a BS trains its knowledge base relying on knowledge transferred from other related BSs, who are selected using an interference coordination strategy. In a network with static topology, cooperation management is developed to identify the maturity of the knowledge base and control the coordination overhead. It is demonstrated in a multi-hop backhaul network that transfer learning delivers a QoS level that is as high as achieved by a fully coordinated algorithm, but with a very low level of information exchange which is close to a fully distributed algorithm. Transfer learning is also studied in rapidly changeable network architectures to provide reliable communication. It is carried out during the changes of network topology, through mapping the learner’s knowledge base to a prioritized action space with Pareto efficiency. This process assists the BSs to quickly identify and adapt to environment changes, and makes effective decisions. Results show that transfer learning significantly reduces QoS fluctuation during traffic variation and topology changes in a highly dynamic network. Furthermore, a dynamic topology management algorithm is developed to intelligently control the working modes of BSs, based on traffic load and capacity in multiple cells. Topology management is demonstrated to reduce the number of activated BSs with adequate QoS performance provided. Dynamic capacity provision between multiple cells is achieved from transfer learning, which significantly improves QoS and reduces energy consumption.
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Corvino, Virginia <1981&gt. "Radio resource management for pervasive mobile communication Networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/2200/1/corvino_virginia_tesi.pdf.

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Books on the topic "Mobile radio networks"

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Handbook of mobile radio networks. Boston: Artech House, 2000.

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Narrowband land-mobile radio networks. Boston: Artech House, 1993.

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Colloquium on Mobile Radio Networks (1988 London). Colloquium on Mobile Radio Networks. London: IEE Electronics Division, 1988.

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Walke, Bernhard. Mobile radio networks: Networking and protocols. Chichester: John Wiley & Sons, 1999.

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Marriwala, Nikhil, C. C. Tripathi, Shruti Jain, and Dinesh Kumar, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7018-3.

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Marriwala, Nikhil, C. C. Tripathi, Dinesh Kumar, and Shruti Jain, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7130-5.

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Yu, F. Richard, ed. Cognitive Radio Mobile Ad Hoc Networks. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3.

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Marriwala, Nikhil, C. C. Tripathi, Shruti Jain, and Dinesh Kumar, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7982-8.

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Yu, F. Richard. Cognitive radio mobile ad hoc networks. Edited by Tang Helen. New York: Springer, 2011.

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Marriwala, Nikhil Kumar, Sunil Dhingra, Shruti Jain, and Dinesh Kumar, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0700-3.

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Book chapters on the topic "Mobile radio networks"

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Zhou, Chi. "Mobile Radio Communications." In Handbook of Computer Networks, 616–29. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118256114.ch40.

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Hewitt, M. T. H. "Radio Spectrum for Mobile Networks." In Mobile Systems, 14–35. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-6377-8_2.

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Parsons, J. D., and J. G. Gardiner. "Using the radio channel in cellular radio networks." In Mobile Communication Systems, 244–52. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1526-1_7.

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Hayashi, Tatsuya, Koji Nakano, and Stephan Olariu. "Randomized initialization protocols for packet radio networks." In Mobile Networks and Computing, 221–35. Providence, Rhode Island: American Mathematical Society, 2000. http://dx.doi.org/10.1090/dimacs/052/14.

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Benmammar, Badr, and Asma Amraoui. "Wireless and Mobile Networks." In Radio Resource Allocation and Dynamic Spectrum Access, 1–22. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.ch1.

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Yang, Yaling, Chuan Han, and Bo Gao. "Delay in Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks, 249–84. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_10.

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Eliodorou, Michalis, Tafseer Akhtar, Muhammad Tayyab, and Subin Narayanan. "Radio Resource Management and Access Polices for B5G." In Enabling 6G Mobile Networks, 71–121. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74648-3_3.

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Adigun, Olayinka, Mahdi Pirmoradian, and Christos Politis. "Cognitive Radio for 5G Wireless Networks." In Fundamentals of 5G Mobile Networks, 149–63. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118867464.ch6.

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Liu, X., P. Pardalos, S. Rajasekaran, and M. Resende. "A GRASP for frequency assignment in mobile radio networks." In Mobile Networks and Computing, 195–201. Providence, Rhode Island: American Mathematical Society, 2000. http://dx.doi.org/10.1090/dimacs/052/12.

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Mahmoodi, Eman S., K. P. Subbalakshmi, and R. N. Uma. "Spectrum-Aware Mobile Computing Using Cognitive Networks." In Handbook of Cognitive Radio, 1–28. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1389-8_22-1.

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Conference papers on the topic "Mobile radio networks"

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Chang, Yu-Cheng, Chi-Yuan Chang, Ching Chang, and Guang-Yu Tu. "Cellular mobile radio networks design." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882099.

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Vojcic, Branimir, Dennis Matheson, and Henry Clark. "Network of mobile networks; Hybrid terrestrial-satellite radio." In 2009 International Workshop on Satellite and Space Communications (IWSSC). IEEE, 2009. http://dx.doi.org/10.1109/iwssc.2009.5286308.

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Дадаев, А. И., И. У. Хашумов, З. С. Занаева, and И. Х. Абдулаев. "CLOUD TECHNOLOGIES FOR FLEXIBLE 5G RADIO ACCESS NETWORKS." In «ОБРАЗОВАНИЕ БУДУЩЕГО» Материалы III Всероссийской научно-практической конференции с международным участием. Crossref, 2022. http://dx.doi.org/10.34708/gstou.2022.88.46.015.

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Эволюция мобильных сетей 5G будет характеризоваться увеличением числа беспроводных устройств, возрастающей сложностью устройств и услуг, а также необходимостью повсеместного доступа к мобильным услугам. Два ключевых фактора позволят реализовать концепцию 5G: очень плотное развертывание и централизованная обработка. В этой статье обсуждаются проблемы и требования к проектированию мобильных сетей 5G на основе этих двух ключевых факторов. В нем обсуждается, как облачные технологии и гибкое назначение функций в сетях радиодоступа обеспечивают уплотнение сети и централизованную работу сети радиодоступа в гетерогенных транзитных сетях. В статье описываются основные концепции, показано, как развивать архитектуру 3GPP LTE, а также описываются ожидаемые преимущества. The evolution of 5G mobile networks will be characterized by an increase in the number of wireless devices, increasing complexity of devices and services, and the need for ubiquitous access to mobile services. Two key factors will enable the 5G vision to materialize: very dense deployment and centralized processing. This article discusses the design challenges and requirements for 5G mobile networks based on these two key factors. It discusses how cloud computing and flexible assignment of functions in radio access networks enable network densification and centralized operation of the radio access network in heterogeneous backhaul networks. The article describes the basic concepts, shows how to evolve the 3GPP LTE architecture, and describes the expected benefits.
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Bogdanov, Alexey, and Vyacheslav Shevtsov. "Mobile radio network development problems." In 2012 14th International Conference on Transparent Optical Networks (ICTON). IEEE, 2012. http://dx.doi.org/10.1109/icton.2012.6253775.

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Hamilton, Benjamin R., Xiaoli Ma, Robert J. Baxley, and Stephen M. Matechik. "Radio frequency tomography in mobile networks." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319745.

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"W4 - 4G mobile radio access networks: WCNC 2012 workshop on 4G mobile radio access networks - Program." In 2012 IEEE Wireless Communications and Networking Conference Workshops. IEEE, 2012. http://dx.doi.org/10.1109/wcncw.2012.6215556.

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Guerra, Erik Ortiz, Julio Cesar Perez Garcia, Vitalio Alfonso Reguera, Thi Mai Trang Nguyen, and Guy Pujolle. "A Novel Multi-Radio Rendezvous Scheme for Cognitive Radio Networks." In 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC). IEEE, 2019. http://dx.doi.org/10.23919/wmnc.2019.8881570.

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Hemakumar, M., and G. Nagalalli. "Multi radio clustering protocol for mobile networks." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7034062.

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Siebert, Matthias, and Zhongrong Liu. "NGMN (r)evolution of mobile radio networks." In 2010 European Wireless Conference (EW). IEEE, 2010. http://dx.doi.org/10.1109/ew.2010.5483514.

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Trubin, I. S. "Security Threats in Mobile Cognitive Radio Networks." In 2018 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2018. http://dx.doi.org/10.1109/ewdts.2018.8524808.

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Reports on the topic "Mobile radio networks"

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Pursley, Michael B. Adaptive Transmission Protocols for Mobile Frequency-Hop Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada416509.

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DEFENSE SCIENCE BOARD WASHINGTON DC. Wideband Radio Frequency Modulation: Dynamic Access to Mobile Information Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada417214.

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Soroushnejad, Mohsen, and Evaggelos Geraniotis. Performance Comparison of Different Spread-Spectrum Signaling Schemes for Cellular Mobile Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada452365.

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DEFENSE SCIENCE BOARD WASHINGTON DC. Report of the Defense Science Board Task Force on Wideband Radio Frequency Modulation: Dynamic Access to Mobile Information Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada428978.

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Winseck, D. Growth and Upheaval in the Network Media Economy in Canada, 1984-2019. Canadian Media Concentration Research Project (CMCRP), Carleton University, November 2020. http://dx.doi.org/10.22215/cmcrp/2020.1.

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This report examines the development of the media economy over the past thirty-five years. Since beginning this project a decade ago, we have focused on analyzing a comprehensive as possible selection of the biggest telecoms, Internet and media industries (based on revenue) in Canada, including: mobile wireless and wireline telecoms; Internet access; cable, satellite & IPTV; broadcast television, specialty and pay television services as well as Internet-based video subscription and download services; radio; newspapers; magazines; music; Internet advertising; social media; operating systems; browsers, etc.
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6

Alarcon Lopez, Luis Guillermo. The Impact of Obligations in Spectrum Value. Inter-American Development Bank, July 2017. http://dx.doi.org/10.18235/0007977.

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Radiofrequency spectrum is an essential asset for mobile network operators. Governments set its value to organize competitive frequency auctions and define recurrent payments, such as taxes and right of use. This publication sustains that governments should value radio frequency spectrum as a function of the intended frequency use policy and corresponding obligations. A mathematical formula is proposed to articulate, quantitatively, the relationship between spectrum value and regulatory obligations, including promoting new market entrants, conditioning of wholesale obligations, definition of coverage goals, and requirement to support public safety and first respondent services. This paper targets, in general, the telecommunication ministries, national regulatory authorities, and government entities that address the topic of valuing radio frequency spectrum.
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7

Heinz, Brian J., David Richie, Song J. Park, and Dale R. Shires. Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation and Simulation Using General Purpose Graphics Processing Units (GPGPUs). Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada601670.

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8

Cirullo, Chris. A Prototype System for Using Multiple Radios in Directional MANET (Mobile Ad Hoc Network): A NISE Funded Applied Research Project. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada591727.

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