Relevant bibliographies by topics / 5G Cellular Networks

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

Academic literature on the topic '5G Cellular Networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "5G Cellular Networks"

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Branch, Philip. "Fifth Generation Cellular Networks." Australian Journal of Telecommunications and the Digital Economy 4, no. 3 (September 29, 2016): 96. http://dx.doi.org/10.18080/ajtde.v4n3.63.

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In this article the emerging requirements that are driving the fifth generation of mobile cellular networks are discussed and the technologies that will most likely be used to satisfy those requirements are identified. Proposals for 5G are at an early stage, but there is an expectation that the early 2020s will see the first deployments.The requirements for 5G are increased download speeds, the need to deal with increased cell density, increased bandwidth efficiency and availability of new bandwidth. It is likely that 5G will play a role in the emerging Internet of Things, potentially resulting in enormous increase in the number of attached devices.To meet the expected requirements 5G is likely to make use of spectrum in the millimetre range, beam-forming antenna arrays, massive Multi-Input Multi-Output, and fundamental changes to base station design. In this paper the key drivers for 5G are discussed including the very large numbers of devices in cells, the need to make available new spectrum, energy efficient ways of implementing base station capabilities, standards developments so far and 5G related issues for Australia.
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Branch, Philip. "Fifth Generation Cellular Networks." Journal of Telecommunications and the Digital Economy 4, no. 3 (September 29, 2016): 96–109. http://dx.doi.org/10.18080/jtde.v4n3.63.

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In this article the emerging requirements that are driving the fifth generation of mobile cellular networks are discussed and the technologies that will most likely be used to satisfy those requirements are identified. Proposals for 5G are at an early stage, but there is an expectation that the early 2020s will see the first deployments.The requirements for 5G are increased download speeds, the need to deal with increased cell density, increased bandwidth efficiency and availability of new bandwidth. It is likely that 5G will play a role in the emerging Internet of Things, potentially resulting in enormous increase in the number of attached devices.To meet the expected requirements 5G is likely to make use of spectrum in the millimetre range, beam-forming antenna arrays, massive Multi-Input Multi-Output, and fundamental changes to base station design. In this paper the key drivers for 5G are discussed including the very large numbers of devices in cells, the need to make available new spectrum, energy efficient ways of implementing base station capabilities, standards developments so far and 5G related issues for Australia.
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Ohipeni, Edwin Angmor Kofi. "5G Cellular Network Forensics." Advances in Multidisciplinary and scientific Research Journal Publication 1, no. 1 (July 26, 2022): 181–84. http://dx.doi.org/10.22624/aims/crp-bk3-p29.

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The fifth generation (5G) of cellular networks will bring 10Gbps user speeds, have a wider bandwidth which can accommodate 1000 times what the fourth generation (4G) could and 100 times faster than the previous 4G cellular network. This paper’s focus is to highlight on the legal aspects of the 5G cellular network. That is, the health issues, privacy, and security issues on Africans. Most crimes currently are facilitated by cellular network devices and with the improvement that the 5G cellular network brings, there is going to be an increase in cybercrime and hence the need for forensics. These forensics’ techniques used in evidence acquisition violates the privacy and security of the users of the 5G cellular network. Keywords: Cellular Networks, Fifth Generation (5G), Lawful Interception (LI), Lawful Access Location Services (LALS), Privacy, Security, Africa, Natural Resources, Carbon, Ozone Layer, Internet of Things (IoT) BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Edwin Angmor Kofi Ohipeni (2022): 5G Cellular Network Forensics Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 181-184 www.isteams.net/ITlawbookchapter2022. dx.doi.org/10.22624/AIMS/CRP-BK3-P29
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Et.al, Vincent Yong Kai Loung. "Capacity Estimation for 5G Cellular Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 4530–37. http://dx.doi.org/10.17762/turcomat.v12i3.1842.

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This paper outlines the requirements for 5G cellular networks driven by the combination of increasing throughput demand, improving coverage and the capacity estimation for wireless access in the next decade. Deployment of 5G networks will emerge between 2020 to 2030 in many countries and will be built upon existing sites. 5G will offer great benefits for both consumers and industries to achieve a ‘hyper connected society’ capable of zero-distance connectivity between people and connected machines. The applications, the use cases as well as the massive Multiple-Input-Multiple-Output technologies, for example antenna beamforming and network densification to enhance the system capacity and mobility of 5G cellular networks are discussed in this paper
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Ge, Xiaohu, Song Tu, Guoqiang Mao, Cheng-Xiang Wang, and Tao Han. "5G Ultra-Dense Cellular Networks." IEEE Wireless Communications 23, no. 1 (February 2016): 72–79. http://dx.doi.org/10.1109/mwc.2016.7422408.

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Bakulin, Mikhail G., Taoufik Ben Rejeb, Vitaly B. Kreyndelin, Yuriy B. Mironov, Denis Y. Pankratov, and Alexey E. Smirnov. "Modulation for cellular 5G/IMT-2020 and 6G networks." T-Comm 16, no. 3 (2022): 11–17. http://dx.doi.org/10.36724/2072-8735-2022-16-3-11-17.

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In recent years, 5G (Fifth Generation) and 6G (Sixth Generation) wireless networks have attracted extensive research interest. According to the 3GPP (3rd Generation Partnership Project) project, 5G networks should be support three main application scenarios: enhanced Mobile Broadband (eMBB), Massive Machine-Type Communications, (mMTC), Ultra-Reliable Low Latency Communication (URLLC). In addition to that, enhanced vehicle-to-everything, (eV2X) are also considered as key technology in 5G. All these scenarios require ubiquitous connectivity providing high data rates and spectral efficiency. These issues lead to many challenges for introducing 5G and 6G networks. Traditional modulation and multiple access schemes will not achieve the requirements of 5G and 6G networks. In order to meet these upcoming requirements, it is necessary to explore novel modulation and multiple access schemes. Data rate, resistance to noise and capacity of wireless network depend on choosing current modulation scheme. To meet the requirements of 5G and 6G and reduce the out-of-band (OOB) leakage various modulation schemes based on subband filtering, pulse shaping and precoding have been proposed. This article provides an overview of the different modulation schemes for 5G and 6G systems.
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Salva-Garcia, Pablo, Jose M. Alcaraz-Calero, Qi Wang, Jorge Bernal Bernabe, and Antonio Skarmeta. "5G NB-IoT: Efficient Network Traffic Filtering for Multitenant IoT Cellular Networks." Security and Communication Networks 2018 (December 10, 2018): 1–21. http://dx.doi.org/10.1155/2018/9291506.

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Internet of Things (IoT) is a key business driver for the upcoming fifth-generation (5G) mobile networks, which in turn will enable numerous innovative IoT applications such as smart city, mobile health, and other massive IoT use cases being defined in 5G standards. To truly unlock the hidden value of such mission-critical IoT applications in a large scale in the 5G era, advanced self-protection capabilities are entailed in 5G-based Narrowband IoT (NB-IoT) networks to efficiently fight off cyber-attacks such as widespread Distributed Denial of Service (DDoS) attacks. However, insufficient research has been conducted in this crucial area, in particular, few if any solutions are capable of dealing with the multiple encapsulated 5G traffic for IoT security management. This paper proposes and prototypes a new security framework to achieve the highly desirable self-organizing networking capabilities to secure virtualized, multitenant 5G-based IoT traffic through an autonomic control loop featured with efficient 5G-aware traffic filtering. Empirical results have validated the design and implementation and demonstrated the efficiency of the proposed system, which is capable of processing thousands of 5G-aware traffic filtering rules and thus enables timely protection against large-scale attacks.
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Elsawy, Hesham, Hayssam Dahrouj, Tareq Y. Al-naffouri, and Mohamed-slim Alouini. "Virtualized cognitive network architecture for 5G cellular networks." IEEE Communications Magazine 53, no. 7 (July 2015): 78–85. http://dx.doi.org/10.1109/mcom.2015.7158269.

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M.P., Haripriya, and Venkadesh P. "Investigation Study on Secured Data Communication on 5G Cellular Networks." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 20, 2019): 323–30. http://dx.doi.org/10.5373/jardcs/v11sp11/20193038.

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Matalatala, Michel, Margot Deruyck, Emmeric Tanghe, Luc Martens, and Wout Joseph. "Performance Evaluation of 5G Millimeter-Wave Cellular Access Networks Using a Capacity-Based Network Deployment Tool." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3406074.

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The next fifth generation (5G) of wireless communication networks comes with a set of new features to satisfy the demand of data-intensive applications: millimeter-wave frequencies, massive antenna arrays, beamforming, dense cells, and so forth. In this paper, we investigate the use of beamforming techniques through various architectures and evaluate the performance of 5G wireless access networks, using a capacity-based network deployment tool. This tool is proposed and applied to a realistic area in Ghent, Belgium, to simulate realistic 5G networks that respond to the instantaneous bit rate required by the active users. The results show that, with beamforming, 5G networks require almost 15% more base stations and 4 times less power to provide more capacity to the users and the same coverage performances, in comparison with the 4G reference network. Moreover, they are 3 times more energy efficient than the 4G network and the hybrid beamforming architecture appears to be a suitable architecture for beamforming to be considered when designing a 5G cellular network.
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Dissertations / Theses on the topic "5G Cellular Networks"

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Oussakel, Imane. "4G/5G cellular networks metrology and management." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30261.

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La prolifération d'applications et de services sophistiqués s'accompagne de diverses exigences de performances, ainsi que d'une croissance exponentielle du trafic pour le lien montant (uplink) et descendant (downlink). Les réseaux cellulaires tels que 4G et 5G évoluent pour prendre en charge cette quantité diversifiée et énorme de données. Le travail de cette thèse vise le renforcement de techniques avancées de gestion et supervision des réseaux cellulaires prenant l'explosion du trafic et sa diversité comme deux des principaux défis dans ces réseaux. La première contribution aborde l'intégration de l'intelligence dans les réseaux cellulaires via l'estimation du débit instantané sur le lien montant pour de petites granularités temporelles. Un banc d'essai 4G temps réel est déployé dans ce but de fournir un benchmark exhaustif des métriques de l'eNB. Des estimations précises sont ainsi obtenues. La deuxième contribution renforce le découpage 5G en temps réel au niveau des ressources radio dans un système multicellulaire. Pour cela, deux modèles d'optimisation ont été proposés. Du fait de leurs temps d'exécution trop long, des heuristiques ont été développées et évaluées en comparaisons des modèles optimaux. Les résultats sont prometteurs, les deux heuristiques renforçant fortement le découpage du RAN en temps réel
The proliferation of sophisticated applications and services comes with diverse performance requirements as well as an exponential traffic growth for both upload and download. The cellular networks such as 4G and 5G are advocated to support this diverse and huge amount of data. This thesis work targets the enforcement of advanced cellular network supervision and management techniques taking the traffic explosion and diversity as two main challenges in these networks. The first contribution tackles the intelligence integration in cellular networks through the estimation of users uplink instantaneous throughput at small time granularities. A real time 4G testbed is deployed for such aim with an exhaustive metrics benchmark. Accurate estimations are achieved.The second contribution enforces the real time 5G slicing from radio resources perspective in a multi-cell system. For that, two exact optimization models are proposed. Due to their high convergence time, heuristics are developed and evaluated with the optimal models. Results are promising, as two heuristics are highly enforcing the real time RAN slicing
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Dlamini, Thembelihle. "Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3422837.

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This thesis investigates resource management procedures, within the Multi-access Edge Computi ng (MEC) paradigm, to obtain energy savings and guarantee Quality of Service(QoS) in Mobile Networks (MNs). Here, we enable energy savings within green-aware network apparatuses (i.e., communication and computing facilities) through the application of learning and control techniques, together with energy management procedures (BS sleep mode, VM soft-scaling, tuning of transmission drivers). In this study, we consider the MEC deployment scenarios suggested by ETSI and mobile operators for our system models. Firstly, we investigate energy-saving strategies within a remote site fully powered by only green/renewable energy (solar and wind). Here, we consider a single Base Station (BS) co-located with the MEC server, i.e., the BS is empowered with computing capabilities. To address the energy consumption problem within the remote site, we propose an online algorithm for edge network management. The algorithm make use of a Long Short-Term Memory (LSTM) neural network for estimating the short-term future traffic load and harvested energy, and control theory, specifically the Limited Lookahead Control (LLC) principles, for foresighted optimization. It also make use of energy management procedures, i.e., BS sleep modes and Virtual Machine (VM) soft-scaling (the reduction of computing resources per time instance). To obtain the energy savings and guarantee QoS, per time instance, the algorithm considers the future BS loads, onsite green energy available and then provisions edge network resources based on the learned information. Secondly, we study the energy consumption problem within an environment where BSs are densely-deployed, i.e., similar to an urban or semi-urban scenario. This work extend the energy consumption problem from a single BS case to multiple BSs. Here, each BS is powered by hybrid energy supplies (solar and power grid) and also empowered with computation capabilities (each BS is co-located with a MEC server). Towards edge system management, we propose a controller-based network architecture for managing energy harvesting (EH) BSs empowered with computation capabilities where on/off switching strategies allow BSs and VMs to be dynamically switched on/off, depending on the traffic load and the harvested energy forecast, over a given look-ahead prediction horizon. To solve the energy consumption minimization problem in a distributed manner, the controller partitions the BSs into clusters based on their location; then, for each cluster, it minimizes a cost function capturing the individual communication site energy consumption and the users’ QoS. To manage the communication sites, the controller performs online supervisory control by forecasting the traffic load and the harvested energy using a LSTM neural network, which is utilized within a LLC policy to obtain the system control actions that yield the desired trade-off between energy consumption and QoS. Finally, we investigate the energy consumption problem within a virtualized MEC server placed in proximity to a group of BSs. To address this challenge, we consider a computing-plus-communication energy model, within the MEC paradigm, where we focus on the communication-related energy cost in addition to the energy drained due to computing processes. Towards server management, an online algorithm based on traffic engineering and MEC Location Service is proposed. To obtain the energy savings and QoS guarantee, we jointly launch an optimal number of VMs for computing and transmission drivers coupled with the location-aware traffic routing for real-time data transfers. In order to efficiently provisioned edge system resources, we forecast the server workloads and harvested energy by using a LSTM neural network and the output is then used within the LLC-based algorithm. Our numerical results, obtained through trace-driven simulations, show that the proposed optimization strategies (algorithms) leads to a considerable reduction in the energy consumed by the edge computing and communication facilities, promoting energy self-sustainability within the MN through the use of green energy.
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Wickramasuriya, Dilranjan S. "Predictive Analytics in Cardiac Healthcare and 5G Cellular Networks." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6980.

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This thesis proposes the use of Machine Learning (ML) to two very distinct, yet compelling, applications – predicting cardiac arrhythmia episodes and predicting base station association in 5G networks comprising of virtual cells. In the first scenario, Support Vector Machines (SVMs) are used to classify features extracted from electrocardiogram (EKG) signals. The second problem requires a different formulation departing from traditional ML classification where the objective is to partition feature space into constituent class regions. Instead, the intention here is to identify temporal patterns in unequal-length sequences. Using Recurrent Neural Networks (RNNs), it is demonstrated that accurate predictions can be made as to the base station most likely to provide connectivity for a mobile device as it moves. Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting several million people in the United States. It is a condition in which the upper chambers of the heart are unable to contract effectively leading to inhibited blood flow to the ventricles. The stagnation of blood is one of the major risk factors for stroke. The Computers in Cardiology Challenge 2001 was organized to further research into the prediction of episodes of AF. This research revisits the problem with some modifications. Patient-specific classifiers are developed for AF prediction using a different dataset and employing shorter EKG signal epochs. SVM classification yielded an average accuracy of just above 95% in identifying EKG epochs appearing just prior to fibrillatory rhythms. 5G cellular networks were envisaged to provide enhanced data rates for mobile broadband, support low-latency communication, and enable the Internet of Things (IoT). Handovers contribute to latency as mobile devices are switched between base stations due to movements. Given that customers may not be willing to continuously share their exact locations due to privacy concerns and the establishment of a mobile network architecture with dynamically created virtual cells, this research presents a solution for proactive mobility management using RNNs. A RNN is trained to identify patterns in variable-length sequences of Received Signal Strength (RSS) values, where a mobile device is permitted to connect to more than a single base station at a time. A classification accuracy of over 98% was achieved in a simulation model that was set up emulating an urban environment.
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Xu, Bingyu. "Resource allocation in energy cooperation enabled 5G cellular networks." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/42806.

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In fifth generation (5G) networks, more base stations (BSs) and antennas have been deployed to meet the high data rate and spectrum efficiency requirements. Heterogeneous and ultra dense networks not only pose substantial challenges to the resource allocation design, but also lead to unprecedented surge in energy consumption. Supplying BSs with renewable energy by utilising energy harvesting technology has became a favourable solution for cellular network operators to reduce the grid energy consumption. However, the harvested renewable energy is fluctuating in both time and space domains. The available energy for a particular BS at a particular time might be insufficient to meet the traffic demand which will lead to renewable energy waste or increased outage probability. To solve this problem, the concept of energy cooperation was introduced by Sennur Ulukus in 2012 as a means for transferring and sharing energy between the transmitter and the receiver. Nevertheless, resource allocation in energy cooperation enabled cellular networks is not fully investigated. This thesis investigates resource allocation schemes and resource allocation optimisation in energy cooperation enabled cellular networks that employed advanced 5G techniques, aiming at maximising the energy efficiency of the cellular network while ensuring the network performance. First, a power control algorithm is proposed for energy cooperation enabled millimetre wave (mmWave) HetNets. The aim is to maximise the time average network data rate while keeping the network stable such that the network backlog is bounded and the required battery capacity is finite. Simulation results show that the proposed power control scheme can reduce the required battery capacity and improve the network throughput. Second, resource allocation in energy cooperation enabled heterogeneous networks (Het- Nets) is investigated. User association and power control schemes are proposed to maximise the energy efficiency of the whole network respectively. The simulation results reveal that the implementation of energy cooperation in HetNets can improve the energy efficiency and the improvement is apparent when the energy transfer efficiency is high. Following on that, a novel resource allocation for energy cooperation enabled nonorthogonal multiple access (NOMA) HetNets is presented. Two user association schemes which have different complexities and performances are proposed and compared. Following on that, a joint user association and power control algorithm is proposed to maximise the energy efficiency of the network. It is confirmed from the simulation results that the proposed resource allocation schemes efficiently coordinate the intra-cell and inter-cell interference in NOMA HetNets with energy cooperation while exploiting the multiuser diversity and BS densification. Last but not least, a joint user association and power control scheme that considers the different content requirements of users is proposed for energy cooperation enabled caching HetNets. It shows that the proposed scheme significantly enhances the energy efficiency performance of caching HetNets.
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Vlachos, Christoforos. "Integrating device-to-device communications in 5G cellular networks." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/integrating-devicetodevice-communications-in-5g-cellular-networks(b4700367-dfd1-41df-b880-651bdb3b0b7b).html.

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The evolution of wireless networks towards 5G dictates the integration of a mul-titude of heterogeneous radio access technologies to the traditional macro-cell systems. Equipping the network with numerous small cell nodes, such as fem-tocell and picocell base stations (BSs), implies a spectrum efficient and network performance improving solution to support the rapidly increasing user demands. However, this can be proven to be a cost-inefficient method that increases the capital and operational expenditures of the network operators as well as the power consumption, especially in low-traffic network conditions where a number of BSs should be switched-off. To this end, device-centric solutions that leverage the potentials stemming from the proximity, mobility and increased dynamics of user devices should be considered. To this end, direct, proximity-based Device-to-Device (D2D) communication, where two close-ranged user equipments (UEs) are able to exchange data by bypassing the BS, is expected to play predominant role in improving the overall network welfare and ease part of the traffic developed on the BSs side. This thesis focuses on the soft integration of inband D2D communications in emerging cellular networks where D2D-enabled devices utilize the licensed spec-trum. In the introductory part of the thesis we highlight the merits that this communication paradigm can offer in terms of spectrum utilization, energy sav-ing, delay reduction and data rate improvement. We also provide an overview of the D2D use cases that enable opportunities for new services, its potential in improving the overall network performance as well as its offloading capability that can ease the traffic employed along the network. In the sequel, we proceed with our proposed methodology that aims at easing the coexistence of cellular and D2D users in emerging cellular networks. One of the main contributions of the thesis is the optimization of cell association for D2D UEs (DUEs). Cell association for D2D communications is an unexplored area and a rather fertile ground for research. Following the conventional motif, a user device would preferably couple with a high power macro cell BS that provides the user with the highest signal power. However, with the advent of D2D com-munications, this could be proven to be highly inefficient for users that want to communicate directly and are associated with different BSs because BS intercom-munication complexity and access delay is introduced. To this end, we propose a number of optimization formulations for D2D-based cell association that takes into consideration not only the nature of the inband D2D communications (un-derlay or overlay), but also performance-hindering factors such as user density, interference and so on. Other than the throughput enhancing and power saving attributes of the proposed framework, notable resource efficiency improvement is achieved. Indicatively, for both underlay and overlay D2D communications, more than 12% and 45% radio resource utilization mitigation is ensured compared to baseline methods. On top of optimizing cell association for D2D communications, we further investigate the problem of resource allocation in different D2D underlaying cellu-lar network scenarios where DUEs are permitted to reuse the cellular resources and, therefore, high levels of interference need to be prevented. By consider-ing different deployment scenarios, we propose a set of low-complexity heuristic algorithms with the aim to achieve high data rate performance for D2D com-munications with respect to meeting the cellular users’ quality of service (QoS) requirements. The proposed algorithms are evaluated in high-traffic networking scenarios where D2D communications underlay relay-enabled cellular networks. In aggregate, more than 10% of sum throughput performance is achieved against various resource allocation techniques. In the sequel, we explore the dynamics of virtualizing the radio resources for efficient sharing as, nowadays, we are witnessing higher network heterogeneity and the emergence of multiple stakeholders with the overarching need to significantly reduce deployment costs and achieve a sustainable network operation. Network virtualization has emerged as a promising technique to overcome the complexity of current network operation as well as facilitate inter-operators’ sharing. There-fore, disruptive approaches to manage radio and network-virtualized resources are expected to be a catalyst element of future mobile network architectures. Despite the fact that a number of solutions for radio access network (RAN) virtualization emerged over the last few years, it is worth pointing out that little attention has been placed on issues related to D2D virtualization. Therefore, based on the integration of an inter-tenant controller that enables the radio resource sharing between multiple operators, we devise a set of efficient algorithms to optimize the throughput performance of D2D communications in virtualized environments as well as reduce the utilization levels of the allocated radio resources. More than 12% of sum-rate performance improvement compared to legacy, intra-tenant ap-proaches where the radio resources are assigned based on which device initiates the communication per case. Finally, a summary of the research outcomes along with some future directions for D2D communications concludes this thesis.
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Elshaer, Hisham. "Decoupled cell association towards device-centric 5G cellular networks." Thesis, King's College London (University of London), 2016. https://kclpure.kcl.ac.uk/portal/en/theses/decoupled-cell-association-towards-devicecentric-5g-cellular-networks(9d0f6fe0-b55e-4cb6-94f8-1611c05a6e47).html.

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5G will be different from previous cellular generations in the fact that it will enable the cellular industry, besides offering superior broadband services, to conquer vertical industries such as vehicular communication, factory automation, healthcare and many more. Many of these use cases have challenging and quite often contradicting requirements in terms of data rate, latency, power consumption and so on. This suggests that 5G needs to adopt a flexible architecture that can adapt to different devices and traffic requirements. Consequently, a fresh look onto how cellular networks are currently designed and deployed is needed. Historically, cellular networks have relied on the axiomatic role of cells as the cornerstone of the radio access network. Cellular systems have witnessed several recent trends such as the increased heterogeneity in infrastructure and spectrum as well as the rise of different traffic types with different requirements. These trends have called for a shift from the cell-centric architecture approach to a more device-centric architecture where a user or a device should be able to communicate with the network by exchanging information over multiple traffic flows through several sets of heterogeneous nodes. This design concept suggests to drop the rigid cell-centric concept and move to a more flexible design where information is exchanged in the most efficient way possible disregarding in which cell the device is located. This thesis features a comprehensive study of some of the technological enablers of the device-centric 5G architecture vision where we start by motivating the need for this architectural change by presenting the envisioned use cases and requirements of 5G and how the current cellular designs are lacking the flexibility and agility to satisfy the 5G ambition. The main contribution of the thesis is on Downlink and Uplink Decoupling (DUDe) where we pioneered the research on this disruptive 5G architectural design. The traditional way for users to associate to the cellular network is through coupled association where a device associates in both uplink (UL) and downlink (DL) to the same cell. However, the ever increasing density and heterogeneity of cellular networks have rendered the traditional design concepts such as coupled cell association obsolete and highly suboptimal. In simple words, a device connecting in the DL to a high power macro cell from which it receives the highest signal power might want to connect in the UL to a small cell to which the pathloss is lower. Therefore, DUDe solves the UL and DL coverage imbalance problem caused by the different transmit powers from the different tiers. The UL and DL imbalance could also be caused by imbalance in the UL and DL loads, interference and traffic requirements. The concept of DUDe is ground breaking in the sense that it introduces the notion of treating the UL and DL as two separate network entities emphasizing the fact that these two entities have different transmission and traffic requirements. The thesis features a comprehensive simulation study on DUDe using Vodafone’s small cell live network deployment in conjunction with a high resolution 3D ray tracing propagation model as well as user deployments based on traffic measurements to guarantee the most realistic simulation setup. Using this setup, the superiority of DUDe compared to baseline LTE is shown in terms of data rate, outage, channel quality and many more parameters. The evaluation starts by examining the basic form of DUDe where the UL and DL associations are based on pathloss and DL received power respectively which is followed by a more complicated form of DUDe where the UL association takes into account the cell load and the backhaul capacity. An extensive theoretical evaluation of DUDe using tools from stochastic geometry is then presented where cell association and SINR/rate distributions are evaluated in great detail for a sub-6GHz deployment as well as a mixed millimeter wave and sub-6GHz deployment. In addition, the architectural aspect is extensively discussed highlighting the support of DUDe in current 4G networks as well as the changes needed for a native support in future 5G networks. The second aspect covered in this thesis is Device-to-Device (D2D) communications. D2D allows to establish a direct link between devices in the same vicinity to exchange data instead of going through the traditional way through the network infrastructure. D2D is considered to be another important aspect of the device-centric framework as it allows devices to exchange information in the most efficient way possible through a direct communications without the need to abide by the normal cellular way of conveying data. The cell association in a D2D enabled network is studied through an optimization framework considering a decoupled access regime. In addition, novel resource management techniques for D2D communications are presented considering bio-inspired genetic algorithms. Finally, the thesis is concluded by a summary of the findings and takeaways from the conducted research along with some directions for future work.
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Azari, Amin. "Energy Efficient Machine-Type Communications over Cellular Networks : A Battery Lifetime-Aware Cellular Network Design Framework." Licentiate thesis, KTH, Kommunikationssystem, CoS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194416.

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Internet of Things (IoT) refers to the interconnection of uniquely identifiable smart devices which enables them to participate more actively in everyday life. Among large-scale applications, machine-type communications (MTC) supported by cellular networks will be one of the most important enablers for the success of IoT. The existing cellular infrastructure has been optimized for serving a small number of long-lived human-oriented communications (HoC) sessions, originated from smartphones whose batteries are charged in a daily basis. As a consequence, serving a massive number of non-rechargeable machine-type devices demanding a long battery lifetime is a big challenge for cellular networks. The present work is devoted to energy consumption modeling, battery lifetime analysis, and lifetime-aware network design for massive MTC services over cellular networks. At first, we present a realistic model for energy consumption of machine devices in cellular connectivity, which is employed subsequently in deriving the key performance indicator, i.e. network battery lifetime. Then, we develop an efficient mathematical foundation and algorithmic framework for lifetime-aware clustering design for serving a massive number of machine devices. Also, by extending the developed framework to non-clustered MTC, lifetime-aware uplink scheduling and power control solutions are derived. Finally, by investigating the delay, energy consumption, spectral efficiency, and battery lifetime tradeoffs in serving coexistence of HoC and MTC traffic, we explore the ways in which energy saving for the access network and quality of service for HoC traffic can be traded to prolong battery lifetime for machine devices. The numerical and simulation results show that the proposed solutions can provide substantial network lifetime improvement and network maintenance cost reduction in comparison with the existing approaches.

QC 20161103

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Iscar, Vergara Jorge. "Channel and Noise Variance Estimation for Future 5G Cellular Networks." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3026.

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Future fifth generation (5G) cellular networks have to cope with the expected ten-fold increase in mobile data traffic between 2015 and 2021. To achieve this goal, new technologies are being considered, including massive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) communications. Massive MIMO involves the use of large antenna array sizes at the base station, while mmWave communications employ frequencies between 30 and 300 GHz. In this thesis we study the impact of these technologies on the performance of channel estimators. Our results show that the characteristics of the propagation channel at mmWave frequencies improve the channel estimation performance in comparison with current, low frequency-based, cellular networks. Furthermore, we demonstrate the existence of an optimal angular spread of the multipath clusters, which can be used to maximize the capacity of mmWave networks. We also propose efficient noise variance estimators, which can be employed as an input to existing channel estimators.
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Haavisto, J. (Juuso). "Latency-optimized edge computing in Fifth Generation (5G) cellular networks." Bachelor's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201810112920.

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The purpose of this thesis is to research latency-optimized edge computing in 5G cellular networks. In specific, the research focuses on low-latency software-defined services on open-source software (OSS) core network implementations. A literature review revealed that there are few OSS implementations of Long Term Evolution (LTE) (let alone 5G) core networks in existence. It was also found out that OSS is essential in research to allow latency optimizations deep in the software layer. These optimizations were found hard or impossible to install on proprietary systems. As such, to achieve minimal latency in end-to-end (E2E) over-the-air (OTA) testing, an OSS core network was installed at the University of Oulu to operate in conjunction with the existing proprietary one. This thesis concludes that a micro-operator can be run on current OSS LTE core network implementations. Latency-wise, it was found that current LTE modems are capable of achieving an E2E latency of around 15ms in OTA testing. As a contribution, an OSS infrastructure was installed to the University of Oulu. This infrastructure may serve the needs of academics better than a proprietary one. For example, experimentation of off-the-specification functionality in core networks should be more accessible. The installation also enables easy addition of arbitrary hardware. This might be useful in research on tailored services through mobile edge computing (MEC) in the micro-operator paradigm. Finally, it is worth noting that the test network at Oulu University is operating at a rather small scale. Thus, it remains an open question if and how bigger mobile network operators (MNOs) can provide latency-optimized services while balancing with throughput and quality of service (QoS)
Tämän opinnäytetyön tarkoituksena on tutkia vasteaikaoptimoitua reunalaskentaa 5G matkapuhelinverkoissa. Tarkemmin määritellen, työn tarkoituksena on keskittyä alhaisen latenssin palveluihin, jotka toimivat avoimen lähdekoodin ydinverkkoimplementaatioiden päällä. Kirjallisuuskatsaus osoitti että vain pieni määrä avoimen lähdekoodin toteutuksia LTE verkkoimplementaatioista on saatavilla. Lisäksi havainnointiin että avoimen lähdekoodin ohjelmistot ovat osa latenssitutkimusta, jotka vaativat optimointeja syvällä ohjelmistorajapinnassa. Minimaalisen vasteajan saavuttamiseksi, avoimen lähdekoodin ydinverkko asennettiin Oulun yliopistolla toimimaan rinnakkain olemassaolevan suljetun järjestelmän kanssa. Tämä opinnäytetyön johtopäätöksien mukaan mikro-operaattori voi toimia nykyisten avoimen lähdekoodin LTE ydinverkkojen avulla. Vasteajaksi kahden laitteen välillä saavutettiin noin 15ms. Kontribuutioksi lukeutui avoimen lähdekoodin radioverkkoinfrastruktuurin asentaminen Oulun yliopistolle. Tämä avoin infrastruktuuri voinee palvella tutkijoiden tarpeita paremmin kuin suljettu järjestelmä. Esimerkiksi, ydinverkkojen testaus virallisten määrittelyn ulkopuolisilla ominaisuuksilla pitäisi olla helpompaa kuin suljetulla järjestelmällä. Lisäksi asennus mahdollistaa mielivaltaisen laskentaraudan lisäämisen mobiiliverkkoon. Tämä voi olla hyödyllistä räätälöityjen reunalaskentapalveluiden tutkimuksessa mikro-operaattoreiden suhteen. Lopuksi on hyvä mainita että Oulun yliopiston testiverkko toimii suhteellisen pienellä skaalalla. Täten kysymykseksi jää miten suuremmat mobiiliverkkojen tarjoajat voivat toteuttaa vasteaikaoptimoituja palveluita suoritustehoa ja palvelunlaatua uhraamatta
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Sajedin, M., Issa T. Elfergani, J. Rodriguez, M. Violas, Abdalfettah S. Asharaa, Raed A. Abd-Alhameed, M. Fernandez-Barciela, and A. M. Abdulkhaleq. "Multi-Resonant Class-F Power Amplifier Design for 5G Cellular Networks." RadioEngineering, 2020. http://hdl.handle.net/10454/18495.

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yes
This work integrates a harmonic tuning mechanism in synergy with the GaN HEMT transistor for 5G mobile transceiver applications. Following a theoretical study on the operational behavior of the Class-F power amplifier (PA), a complete amplifier design procedure is described that includes the proposed Harmonic Control Circuits for the second and third harmonics and optimum loading conditions for phase shifting of the drain current and voltage waveforms. The performance improvement provided by the Class-F configuration is validated by comparing the experimental and simulated results. The designed 10W Class-F PA prototype provides a measured peak drain efficiency of 64.7% at 1dB compression point of the PA at 3.6GHz frequency.
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Books on the topic "5G Cellular Networks"

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Yang, Lu, and Wei Zhang. Interference Coordination for 5G Cellular Networks. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24723-6.

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Zhang, Hongliang, Lingyang Song, and Zhu Han. Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33039-2.

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Zhang, Wei, and Lu Yang. Interference Coordination for 5G Cellular Networks. Springer, 2015.

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Zhang, Wei, and Lu Yang. Interference Coordination for 5G Cellular Networks. Springer London, Limited, 2015.

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Li, Jiandong, and Chungang Yang. Interference Mitigation and Energy in 5G Heterogeneous Cellular Networks. IGI Global, 2017.

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Stakeholder-Oriented Security Analysis in Virtualized 5G Cellular Networks: 5G Security Virtualization Stakeholders Business Models. Independently Published, 2021.

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Han, Zhu, Lingyang Song, and Hongliang Zhang. Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond. Springer International Publishing AG, 2020.

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Han, Zhu, Lingyang Song, and Hongliang Zhang. Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond. Springer, 2019.

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Maier, Stefan, Adrián Cardalda García, and Abhay Phillips. Location Based Services in Cellular Networks: From GSM to 5G NR. Artech House, 2020.

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Singh, Indrasen. Device-to-Device Communication and NOMA. Edited by Niraj Pratap Singh. Glasstree, 2018. http://dx.doi.org/10.20850/9781534204447.

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Device-to-Device (D2D) Communication and Non Orthogonal Multiple Access (NOMA) have become topics of interest for researchers. They are widely recognized as techniques of the next generation cellular wireless networks. D2D technique offers uninterrupted communication among proximate mobile users without transferring data to the base station. This can provide high data rates and power control mechanisms. If D2D direct link distance is more, or the quality of channel is poor then the direct D2D communication gives larger propagation losses. This type of scenarios use relay assisted D2D communication, for improving the transmission capacity and coverage. Where as NOMA ) is one of the many technologies that promise greater capacity gain and spectral efficiency than the present state of the art, and is a candidate technology for 5G cellular networks In this book, fundamentals, state of the art, applications and research challenges of D2D and NOMA have been discussed in simple language
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Book chapters on the topic "5G Cellular Networks"

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Shin, Wonjae, and Mojtaba Vaezi. "UAV-Enabled Cellular Networks." In 5G and Beyond, 165–200. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58197-8_6.

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Hasan, Monowar, and Ekram Hossain. "Distributed Resource Allocation in 5G Cellular Networks." In Towards 5G, 129–61. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118979846.ch8.

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Ge, Xiaohu, and Wuxiong Zhang. "Energy Efficiency of Cellular Networks." In 5G Green Mobile Communication Networks, 103–84. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_3.

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Martyna, Jerzy. "Reliability Enhancement of URLLC Traffic in 5G Cellular Networks." In Computer Networks, 77–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50719-0_7.

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Bohli, Afef, and Ridha Bouallegue. "Energy Efficiency Performance for 5G Cellular Networks." In Lecture Notes in Computer Science, 99–111. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61382-6_9.

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Kumar Mishra, Mukesh, Aditya Trivedi, and Neelesh Mehra. "mmWave-Based 5G and Beyond Cellular Networks." In Springer Series in Wireless Technology, 129–53. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6390-4_7.

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Pratap, Ajay, and Sajal K. Das. "Internet of Things in 5G Cellular Networks." In Internet of Things and Secure Smart Environments, 417–40. Title: Internet of things and secure smart environments : successes and pitfalls / edited by Uttam Ghosh, Vanderbilt University, USA, [and three others]. Description: First edition. | Boca Raton : CRC Press, 2021. |: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780367276706-11.

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Xu, Kui, Xiaochen Xia, Yurong Wang, Wei Xie, and Dongmei Zhang. "Beam-Domain Full-Duplex Massive MIMO Transmission in the Cellular System." In 5G Enabled Secure Wireless Networks, 155–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03508-2_6.

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Lateef, Hafiz Yasar, Mischa Dohler, Amr Mohammed, Mohsen Mokhtar Guizani, and Carla Fabiana Chiasserini. "Towards Energy-Aware 5G Heterogeneous Networks." In Energy Management in Wireless Cellular and Ad-hoc Networks, 31–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27568-0_2.

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Nielsen, Jimmy Jessen, Ljupco Jorguseski, Haibin Zhang, Hervé Ganem, Ziming Zhu, and Petar Popovski. "5G and Cellular Networks in the Smart Grid." In Transportation and Power Grid in Smart Cities, 69–102. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119360124.ch3.

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Conference papers on the topic "5G Cellular Networks"

1

"Session MP3: 5G Cellular networks." In 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015. http://dx.doi.org/10.1109/acssc.2015.7421135.

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Lin, Yuxiang, Yi Gao, and Wei Dong. "Bandwidth Prediction for 5G Cellular Networks." In 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS). IEEE, 2022. http://dx.doi.org/10.1109/iwqos54832.2022.9812912.

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Fourati, Hasna, Rihab Maaloul, and Lamia Chaari. "Self-Organizing Cellular Network Approaches Applied to 5G Networks." In 2019 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2019. http://dx.doi.org/10.1109/giis48668.2019.9044964.

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Frecassetti, Mario G. L., Andrea Mazzanti, Juan F. Sevillano, David del Rio, and Vladimir Ermolov. "D-Band Transport Solution to 5G and Beyond 5G Cellular Networks." In 2019 European Conference on Networks and Communications (EuCNC). IEEE, 2019. http://dx.doi.org/10.1109/eucnc.2019.8802033.

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Moltafet, Mohammad, Paeiz Azmi, and Nader Mokari. "Power minimization in 5G heterogeneous cellular networks." In 2016 24th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2016. http://dx.doi.org/10.1109/iraniancee.2016.7585524.

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Giordani, Marco, Marco Mezzavilla, Sundeep Rangan, and Michele Zorzi. "Multi-connectivity in 5G mmWave cellular networks." In 2016 Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net). IEEE, 2016. http://dx.doi.org/10.1109/medhocnet.2016.7528494.

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Wang, Li-Chun, and Suresh Rangapillai. "A survey on green 5G cellular networks." In 2012 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2012. http://dx.doi.org/10.1109/spcom.2012.6290252.

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Rebato, Mattia, Marco Mezzavilla, Sundeep Rangan, and Michele Zorzi. "Resource sharing in 5G mmWave cellular networks." In IEEE INFOCOM 2016 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2016. http://dx.doi.org/10.1109/infcomw.2016.7562085.

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Hassan, Ahmad, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, and Zhi-Li Zhang. "Vivisecting mobility management in 5G cellular networks." In SIGCOMM '22: ACM SIGCOMM 2022 Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544216.3544217.

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Mahmood, Ali M., Adil Al-Yasiri, and Omar Y. Alani. "Cognitive Neural Network Delay Predictor for High Speed Mobility in 5G C-RAN Cellular Networks." In 2018 IEEE 5G World Forum (5GWF). IEEE, 2018. http://dx.doi.org/10.1109/5gwf.2018.8516715.

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