Relevant bibliographies by topics / 5G heterogeneous network

Contents

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

Academic literature on the topic '5G heterogeneous network'

Author: Grafiati
Published: 22 February 2023
Last updated: 26 July 2025

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Journal articles on the topic "5G heterogeneous network"

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Chen, Yongtao, Hao Wang, Liuyang Shi, et al. "Research on 5G Heterogeneous Network Switching Mechanism and Self-optimizing Network Switching Algorithm." Journal of Physics: Conference Series 2795, no. 1 (2024): 012011. http://dx.doi.org/10.1088/1742-6596/2795/1/012011.

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Abstract Heterogeneous network, as one of the key features of 5G network, can provide higher network capacity, lower latency and better user experience by effectively integrating different types of network resources. Therefore, how to achieve seamless switching between heterogeneous networks becomes an urgent problem to be solved. This paper will conduct an in-depth analysis of 5G heterogeneous network switching mechanism, propose a self-optimizing network switching algorithm as an improvement scheme, and verify its effectiveness through simulation experiments in order to promote the developme
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Kiran, Kotaru, and D. Rajeswara Rao. "Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network." Infocommunications journal 14, no. 2 (2022): 28–38. http://dx.doi.org/10.36244/icj.2022.2.3.

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In recent mobile networks, due to the huge number of subscribers, the traffic may occur rapidly; therefore, it is complex to guarantee the accurate operation of the network. On the other hand, the Fifth generation (5G) network plays a vital role in the handover mechanism. Handover management is a prominent issue in 5G heterogeneous networks. Therefore, the Handover approach relocates the connection between the user equipment and the consequent terminal from one network to another. Furthermore, the handover approaches manage each active connection for the user equipment. This survey offers an e
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Goh, Mark Irwin, Hoe Tung Yew, Diong Boh Wen, Aroland M. J. Kiring, and Chung Seng Kheau. "Vertical Handover Decision Making Algorithms for 5G Heterogeneous Networks: A Review." International Journal of Emerging Technology and Advanced Engineering 12, no. 1 (2022): 185–99. http://dx.doi.org/10.46338/ijetae0122_19.

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The wireless networks have been rapidly used in our daily lives, especially mobile wireless networks. An environment consisting of several networks such as WLAN, 4G-LTE, and 5G, is known as a heterogeneous network. Wireless networks are widely used to support various data services such as live video streaming, upload data, download data and cloud service depending upon their capacity and nature. When the mobile terminal is moving, the network availability will be changed. Therefore, the mobile terminal must perform handover from one network to another network in heterogeneous networks to maint
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Hani, Attar1 *. Haitham Issa2 Ismail A. Elhaty3 Khalid Yahya4 Ahmed A. A. Solyman5 Ramy Said Agieb6. "5G Key Enabler Technologies and Future Trends." JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY 54, no. 7 (2022): 240–54. https://doi.org/10.5281/zenodo.7924425.

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The fifth-generation (5G) cellular networks are cutting-edge wireless technologies transforming all wireless systems. Increased network capacity, boosted data rates, and minimized end-to-end latency are the primary goals of 5G. As a result, 5G can enable many linked devices and realize the Internet of Things (IoT) concept. While 5G has many benefits for mobile wireless networks, specific issues still need to be addressed. This article thoroughly overviews 5G technology, including 5G wireless network enabling solutions. The main technological developments that will usher in a new era for wirele
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Sachan, Vibhav Kr, Abhinav Trivedi, Yashi Srivastava, and Shubham Shukla. "5G Wireless Technology: Spectrum Sharing and Heterogeneous Networks." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4905–9. http://dx.doi.org/10.22214/ijraset.2024.62696.

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Abstract: This paper addresses the critical challenge of 5G network cell planning, emphasizing the essential role of estimating the number of cells or base stations required for a given area and user bandwidth. The proposed model explores four scenarios with varying network parameters to determine the optimal base station deployment. The increasing demand for 5G networks necessitates a focus on small cells or femtocells, offering advantages such as consistent coverage, power adjustment, energy efficiency, and higher data rates. However, deploying excessive femtocells may lead to unnecessary ha
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Goh, Mark Irwin, Abbas Ibrahim Mbulwa, Hoe Tung Yew, et al. "Handover Decision-Making Algorithm for 5G Heterogeneous Networks." Electronics 12, no. 11 (2023): 2384. http://dx.doi.org/10.3390/electronics12112384.

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The evolution of 5G small cell networks has led to the advancement of vertical handover decision-making algorithms. A mobile terminal (MT) tends to move from one place to another and, as the 5G network coverage is small, user network access will change frequently and lead to a high probability of unnecessary handover, which is a waste of network resources and causes degradation of service quality. This paper aims to reduce the number of unnecessary handovers in 5G heterogeneous networks by proposing a handover decision-making algorithm that integrates the dwelling time prediction technique and
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Lorincz, Josip, and Zvonimir Klarin. "A Comprehensive Analysis of the Impact of an Increase in User Devices on the Long-Term Energy Efficiency of 5G Networks." Smart Cities 7, no. 6 (2024): 3616–57. http://dx.doi.org/10.3390/smartcities7060140.

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The global deployment of fifth-generation (5G) mobile networks, especially in urban cities, is dedicated to accommodating the demand for high data rates and reliable wireless communications. While the latest 5G networks improve service quality, the support for a simultaneous serving of more user devices (UDs) with higher data rates than previous mobile network generations will require a massive installation of different 5G base station (BS) types dominantly in urban cities. Besides contributing to the smart city service improvements, this massive installation of heterogeneous 5G BSs will also
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Anwar Apandi, Nur Ilyana, and Nor Aishah Muhammad. "Energy saving performance analysis for future fifth generation millimetre-wave cellular networks." Bulletin of Electrical Engineering and Informatics 13, no. 4 (2024): 2427–33. http://dx.doi.org/10.11591/eei.v13i4.5973.

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The deployment of fifth generation (5G) millimetre-wave (mmWave) base stations (BSs) will consume more energy over time due to the limited time available, despite the increasing interest in developing 5G mmWave wireless communication technology. Constructing 5G mmWave cellular network infrastructure can improve energy efficiency, which is a challenge to implement in heterogeneous networks. This paper presents analytical frameworks for monitoring the effectiveness of 5G mmWave cellular networks. Based on the state management of BS, a system model for 2-tier heterogeneous networks is developed,
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Shabbir, A., H. R. Khan, S. A. Ali, and S. Rizvi. "Design and Performance Analysis of Multi-tier Heterogeneous Network through Coverage, Throughput and Energy Efficiency." Engineering, Technology & Applied Science Research 7, no. 6 (2017): 2345–50. https://doi.org/10.5281/zenodo.1126307.

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The unprecedented acceleration in wireless industry strongly compels wireless operators to increase their data network throughput, capacity and coverage on emergent basis. In upcoming 5G heterogeneous networks inclusion of low power nodes (LPNs) like pico cells and femto cells for increasing network’s throughput, capacity and coverage are getting momentum. Addition of LPNs in such a massive level will eventually make a network populated in terms of base stations (BSs).The dense deployments of BSs will leads towards high operating expenditures (Op-Ex), capital expenditure (Cap-Ex) and mos
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Zeng, Jun, Hao Wang, and Wei Luo. "Self-Optimizing Traffic Steering for 5G mmWave Heterogeneous Networks." Sensors 22, no. 19 (2022): 7112. http://dx.doi.org/10.3390/s22197112.

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Driven by growing mobile traffic, millimeter wave (mmWave) communications have recently been developed to enhance wireless network capacity. Due to insufficient coverage and the lack of support for mobility, mmWave is often deployed in the ultra-dense small cells of the 5G heterogeneous network. In this article, we first summarize the characteristics of the 5G heterogeneous network from the viewpoints of devices, spectra, and networks. We then propose a triple-band network structure which incorporates licensed bands, sub-6GHz unlicensed bands, and mmWave bands to support various types of mobil
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Dissertations / Theses on the topic "5G heterogeneous network"

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Shinde, Swapnil Sadashiv. "Radio Access Network Function Placement Algorithms in an Edge Computing Enabled C-RAN with Heterogeneous Slices Demands." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20063/.

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Network slicing provides a scalable and flexible solution for resource allocation with performance guaranty and isolation from other services in the 5G architecture. 5G has to handle several active use cases with different requirements. The single solution to satisfy all the extreme requirements requires overspecifies and high-cost network architecture. Further, to fulfill the diverse requirements, each service will require different resources from a radio access network (RAN), edge, and central offices of 5G architecture and hence various deployment options. Network function virtualization al
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Khan, Mohammad Arifin Rahman. "Mobility management in 5G heterogeneous networks." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2252.

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In recent years, mobile data traffic has increased exponentially as a result of widespread popularity and uptake of portable devices, such as smartphones, tablets and laptops. This growth has placed enormous stress on network service providers who are committed to offering the best quality of service to consumer groups. Consequently, telecommunication engineers are investigating innovative solutions to accommodate the additional load offered by growing numbers of mobile users. The fifth generation (5G) of wireless communication standard is expected to provide numerous innovative solutions to m
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Pham, Tuyen. "Advanced reconfigurable antennas for 5G heterogeneous networks at millimeter waves." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S120.

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Être compacte, avoir un faible coût, un gain élevé et une capacité de dépointage électronique sur un large angle de couverture sont parmi les principales caractéristiques requises pour le sondage de canal 5G en bande millimétrique. Ces dernières ont attiré beaucoup d'attention ces dernières années car elles sont capables de supporter des communications à haut débit grâce à leur large bande passante. Différentes Différentes technologies d’antennes ont été proposées pour telles applications, avec leurs avantages et leurs inconvénients, telles que les antennes réseaux ou les solutions quasioptiqu
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Mafakheri, Babak <1985&gt. "Centralized and Distributed Self-x Features in heterogeneous 5G Networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9257/1/Thesie-Final.pdf.

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The continuous evolution of mobile network technology is leading to the 5th Generation (5G) of cellular networks, a level of development that exhibits unprecedented network features, capability, and intelligence. New technological cost–efficient solutions are, therefore, required to boost the network capacity and advance its capabilities in order to support the Quality of Service (QoS) requirements. Network densification is known to be as one of the promising approaches aiming to increase the network capacity and reduce latency. For example, Heterogeneous Wireless Networks (HWN) can provide f
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Santos, Ricardo. "5G Backhauling with Software-defined Wireless Mesh Networks." Licentiate thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-69437.

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Current technological advances have caused an exponential growth of the number of mobile Internet-connected devices, along with their respective traffic demands. To cope with this increase of traffic demands, fifth generation (5G) network architectures will need to provide multi-gigabit capacity at the access base stations (BSs), through the deployment of ultra-dense small cells (SCs) operating with millimeter-wave (mmWave) frequencies, e.g. 60 GHz. To connect the BSs to the core network, a robust and high capacity backhaul infrastructure is required. As it is unfeasible to connect all the SCs
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Ma, Chuan. "Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Networks." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18886.

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This thesis focuses on the study of Heterogeneous Networks (HetNets), Device-to-device (D2D) communication networks, and unmanned aerial vehicle (UAV) networks in fifth generation wireless communication (5G) systems. HetNets that consist of macro-cells and small-cells have become increasingly popular in current wireless networks and 5G systems to meet the exponentially growing demand for higher data rates. Compared to conventional homogeneous cellular networks, the disparity of transmission power among different types of base stations (BSs), the relatively random deployment of SBSs, and the de
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Dandachi, Ghina. "Multihoming in heterogeneous wireless networks." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0014/document.

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Les réseaux mobiles de la cinquième génération (5G) sont conçus pour introduire de nouveaux services nécessitant des débits de données extrêmement hauts et une faible latence. 5G sera un changement de paradigme qui comprend des réseaux hétérogènes densifiés, des réseaux d'accès radio virtualisés, des fréquences porteuses à ondes millimétrées et des densités de périphériques très élevées. Cependant, contrairement aux générations précédentes, 5G sera un réseau holistique, intégrant n'importe quelle nouvelle technologie radio avec les technologies LTE et WiFi existant. Dans ce contexte, on se con
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Mowla, Md Munjure. "Next generation wireless communication networks: Energy and quality of service considerations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2158.

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The rapid growth in global mobile phone users has resulted in an ever-increasing demand for bandwidth and enhanced quality-of-service (QoS). Several consortia comprising major international mobile operators, infrastructure manufacturers, and academic institutions are working to develop the next generation wireless communication systems fifth generation (5G) - to support high data rates and increased QoS. 5G systems are also expected to represent a greener alternative for communication systems, which is important because power consumption from the information and communication technology (ICT)
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Dandachi, Ghina. "Multihoming in heterogeneous wireless networks." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0014.

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Les réseaux mobiles de la cinquième génération (5G) sont conçus pour introduire de nouveaux services nécessitant des débits de données extrêmement hauts et une faible latence. 5G sera un changement de paradigme qui comprend des réseaux hétérogènes densifiés, des réseaux d'accès radio virtualisés, des fréquences porteuses à ondes millimétrées et des densités de périphériques très élevées. Cependant, contrairement aux générations précédentes, 5G sera un réseau holistique, intégrant n'importe quelle nouvelle technologie radio avec les technologies LTE et WiFi existant. Dans ce contexte, on se con
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Zaripov, Behruz. "Analysis of Fog Networking Procedures in Heterogeneous Wireless Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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The purpose of this study is to provide a general framework of the latest trends of mobile network architectures. The two main architectures treated in this work are Cloud-RAN and Fog-RAN. We give descriptions of both architectures, then show advantages and disadvantages of them. We mainly focus on the performance of Fog-RAN model taking into account only computation and communication latencies. In order to analyse our Fog-RAN architecture, we measure the impact of traffic produced in our network, by using 3 different policies: Random Policy, Maximum Available Capacity Policy and Nearest Node
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Books on the topic "5G heterogeneous network"

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1120-2.

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Rong, Bo, Xuesong Qiu, Michel Kadoch, Songlin Sun, and Wenjing Li. 5G Heterogeneous Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39372-8.

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Wu, Zi-Yang, Muhammad Ismail, Justin Kong, Erchin Serpedin, and Jiao Wang. Efficient Integration of 5G and Beyond Heterogeneous Networks. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6938-8.

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Jiang, Bin, Kun Xu, Yuhua Xu, Zhiyong Du, and Qihui Wu. Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective. Springer, 2020.

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Jiang, Bin, Kun Xu, Yuhua Xu, Zhiyong Du, and Qihui Wu. Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective. Springer, 2019.

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Jiang, Bin, Zhiyong Du, and Qihui Wu. Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective. Springer, 2019.

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Smelyansky, R. L., ред. «Modern Network Technologies — 2024» (MoNeTeС): The Fifth International Science and Technology Conference: Proceedings. Moscow University Press, 2024. https://doi.org/10.55959/msu012160-5-2024.

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The Fifth International Science and Technology Conference «Modern Network Technologies (MoNeTec-2024)» was devoted to the number of hot topics of contemporary network technologies and their applications: AI application for resource management and control, 5G/6G networks for wireless communication, information security in SDN/ Cloud, QoS control in data communication, problems of heterogeneous traffic modelling and analysis. This volume of Proceedings contains papers presented on the «Heterogeneous Traffic Modelling and Analysis» session and on the Poster session.
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Sun, Songlin, Wenjing Li, Michel Kadoch, Bo Rong, and Xuesong Qiu. 5G Heterogeneous Networks: Self-Organizing and Optimization. Springer London, Limited, 2016.

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5G Heterogeneous Networks: Self-Organizing and Optimization. Springer International Publishing AG, 2016.

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Ismail, Muhammad, Erchin Serpedin, Zi-Yang Wu, Justin Kong, and Jiao Wang. Efficient Integration of 5G and Beyond Heterogeneous Networks. Springer Singapore Pte. Limited, 2021.

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Book chapters on the topic "5G heterogeneous network"

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Sharma, G. L. Astha, Mukesh Soni, Abhaya Nand, Suryabhan Pratap Singh, and Sumit Kumar. "Wireless Backhaul Optimization Algorithm in 5G Communication." In 5G and Beyond. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3668-7_4.

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AbstractA wireless backhaul optimization approach using a delay jitter is suggested to handle the wireless backhaul issue for 5G dynamic heterogeneous situations. First, the delay and delay jitter issues in 5G dynamic heterogeneous situations are carefully evaluated, optimization indicators are defined, and the fundamental backhaul model is further built. Then, considering the optimization action needs, include delay constraints to create better model 1; examine network overload, relax channel number allocation variables to construct improved model 2, and present a matching hierarchical method
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Das, Gopal Chandra, Abhishek Kumar, Seemanti Saha, and Abhijit Bhowmick. "6G Ultra-Dense O-RAN Heterogeneous Network and Its Performance Analysis." In 5G and Beyond Wireless Networks. CRC Press, 2024. http://dx.doi.org/10.1201/9781003407836-3.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Learning the Optimal Network with Handoff Constraint: MAB RL Based Network Selection." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_2.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Learning the Optimal Network with Context Awareness: Transfer RL Based Network Selection." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_5.

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Gupta, Rahul, Pradeep Kumar, and Dinesh Kumar. "Neural Network Model for Gas Classification of Semiconductor-Based Heterogeneous Gas Sensors Arrays." In Mobile Radio Communications and 5G Networks. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0700-3_59.

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Song, Pei-Cheng, Shu-Chuan Chu, Anhui Liang, and Jeng-Shyang Pan. "QUATRE Algorithm for 5G Heterogeneous Network Downlink Power Allocation Problem." In Advances in Intelligent Systems and Computing. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8048-9_25.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Exploiting User Demand Diversity: QoE Game and MARL Based Network Selection." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_7.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Matching Heterogeneous User Demands: Localized Self-organization Game and MARL Based Network Selection." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_6.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Meeting Dynamic User Demand with Handoff Cost Awareness: MDP RL Based Network Handoff." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_4.

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Du, Zhiyong, Bin Jiang, Qihui Wu, Yuhua Xu, and Kun Xu. "Introduction." In Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1120-2_1.

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Conference papers on the topic "5G heterogeneous network"

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Raghuraman, Priya, Mesut E. Baran, and Ismail Guvenc. "Latency in a 5G Network with Heterogeneous Traffic Containing Smart Grid URLLC Packets." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757584.

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Chen, Chen, Yuanhang Li, Yuejun Yu, et al. "SAE-CNN: A Spatial Attention Augmented Convolutional Neural Network for Service Type Identification in 5G Heterogeneous Networks." In 2024 International Conference on Future Communications and Networks (FCN). IEEE, 2024. https://doi.org/10.1109/fcn64323.2024.10984881.

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Anitha, C., G. M. Karthik, M. Uma Maheswari, L. Vinoth Kumar, G. Sasikala, and Jayanthi S. "A Robust Design of Cooperative Model to Enhance Energy Efficiency over Heterogeneous 5G Wireless Sensor Network Paradigm." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673603.

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Wang, Chiapin, and Chen-Hao Kao. "Mitigating Interference in 5G Heterogeneous Networks Through Machine Learning." In 2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2024. https://doi.org/10.1109/ispacs62486.2024.10867992.

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A., Maheswari. "Handover in 5G Heterogeneous Wireless Networks: A Comprehensive Review." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/qljv2039/ngcesi23p141.

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Handover is a critical feature of wireless networks that allows mobile devices to seamlessly switch between access points as they move around. In 5G heterogeneous wireless networks (HetNets), handover is even more challenging due to the high density of base stations and the variety of radio access technologies (RATs) that may be used. There are a number of challenges that must be addressed in order to design efficient and reliable handover mechanisms for 5G HetNets. These challenges include: Heterogeneity of the network, Multi-RAT support, Mobility of users. Despite these challenges, there are
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Adim, Satya Prakash. "REDUCING PACKET DELAY AND LOSS IN HETEROGENEOUS 5G MOBILE WIRELESS NETWORK." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.64.

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Reconstruction and catastrophe response require effective communication. However, the bulk of public safety land mobile radio (LMR) networks now in use only provide narrowband phone service and only partially support low- speed data services due to packet loss, delay, and reduced resource usage. Thus, high resource usage strategies are needed. The Session Initiation Protocol (SIP) and a common radio resource management framework are the technologies now in use to enable interoperability between cellular and LMR networks.SIP stands for Seamless Handoff Protocol. Here, we explore ways to enhance
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Huskov, Pavlo, Taras Maksymyuk, Ihor Kahalo, and Mykhailo Klymash. "Smart backhauling subsystem for 5G heterogeneous network." In 2015 13th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM). IEEE, 2015. http://dx.doi.org/10.1109/cadsm.2015.7230911.

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Sun, Sumei, Koichi Adachi, Peng Hui Tan, Yuan Zhou, Jingon Joung, and Chin Keong Ho. "Heterogeneous network: An evolutionary path to 5G." In 2015 21st Asia-Pacific Conference on Communications (APCC). IEEE, 2015. http://dx.doi.org/10.1109/apcc.2015.7412506.

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Yoshino, Masaaki, Hideki Shingu, Hiroaki Asano, Yoshifumi Morihiro, and Yukihiko Okumura. "Optimal Cell Selection Method for 5G Heterogeneous Network." In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. http://dx.doi.org/10.1109/vtcspring.2019.8746432.

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Wang, Cuili, Chao Yang, Lin Liu, Ping Wang, and Heng Liu. "Stochastic Geometry Interference Model for 5G Heterogeneous Network." In 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). IEEE, 2016. http://dx.doi.org/10.1109/pdcat.2016.067.

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