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Distributed User Association in Energy Harvesting Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach

Setareh Maghsudi, Ekram Hossain
2017 IEEE Access  
To this end, we propose an approach based on mean-field multi-armed bandit games to solve the uplink cell association problem for energy harvesting IoT devices in a UD-SCN.  ...  In this article, we study the distributed cell association problem for energy harvesting IoT devices in UD-SCNs.  ...  With energy harvesting at the IoT devices, we have modeled the uplink cell association problem by a mean-field multi-armed bandit game.  ... 
doi:10.1109/access.2017.2676166 fatcat:ybjy3v6wyrezzbeld5w5x4uiue

User driven Multiclass Cell Association in 5G HetNets for Mobile & IoT devices

Yaser Waheidi, Mohammad Jubran, Mohammed Hussein
2019 IEEE Access  
In this paper, we propose a distributed multiclass user-driven cell association algorithm based on the multi armed bandit game (CA-MAB) to connect devices with different requirements to the network.  ...  In such a dense architecture, associating devices with the network is challenging. The traditional cell association algorithms use signal-to-interference-plus-noise ratio metric.  ...  Maghsudi proposed in [10] an approach based on mean-field multi-armed bandit games in order to solve the uplink cell association problem for energy harvesting for IoT devices in a UD-SCN.  ... 
doi:10.1109/access.2019.2924521 fatcat:pq62itz4yrgq7ntx7yrnl4irge

IEEE ACCESS Special Section Editorial: Energy Harvesting and Scavenging: Technologies, Algorithms, and Communication Protocols

Mubashir Husain Rehmani, Ayaz Ahmad, Abderrezak Rachedi, Soumaya Cherkaoui, Kok-Lim Alvin Yau
2018 IEEE Access  
In the article entitled ''Distributed user association in energy harvesting dense small cell networks: a mean-field multi-armed bandit approach'' by Maghsudi et al., authors propose an energy harvesting  ...  Authors considered a mean-field multi-armed bandit game to solve the uplink user association problem for the ultra-dense small cell network.  ... 
doi:10.1109/access.2018.2805538 fatcat:bcmhf6brtndf7gptqsn7qaluc4

Combination of Ultra-Dense Networks and other 5G Enabling Technologies: A Survey

Mary A. Adedoyin, Olabisi E. Falowo
2020 IEEE Access  
INDEX TERMS Macrocells, small cells, ultra-dense networks, QoS.  ...  sharing, unnecessary handover, a significant increase in energy consumption, and degraded quality-of-service (QoS).  ...  Finally, an approach based on the mean-field multi-armed bandit games to solve the uplink user association problem for energy harvesting devices in a UDN in the presence of uncertainty is proposed.  ... 
doi:10.1109/access.2020.2969980 fatcat:dpyo5xyrgjgvhcsfhilepbmuo4

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks [article]

Jingjing Wang and Chunxiao Jiang and Haijun Zhang and Yong Ren and Kwang-Cheng Chen and Lajos Hanzo
2020 arXiv   pre-print
Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate  ...  Furthermore, we investigate their employment in the compelling applications of wireless networks, including heterogeneous networks (HetNets), cognitive radios (CR), Internet of things (IoT), machine to  ...  [267] proposed a small cell activation scheme relying on the multi-armed bandit philosophy given only limited information about the available energy of the small cell BS as well as the number of users  ... 
arXiv:1902.01946v2 fatcat:7bveg6rmjfga5mftdkr3mst2qa

A Survey on Long-Range Wide-Area Network Technology Optimizations

Felipe S. Dantas Silva, Emidio P. Neto, Helder Oliveira, Denis Rosario, Eduardo Cerqueira, Cristiano Both, Sherali Zeadally, Augusto V. Neto
2021 IEEE Access  
This work is supported by the R&D project entitled "IoT-Cloud  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their valuable comments, which helped us improve the quality, content, and presentation of this paper.  ...  [92] devised a resource allocation mechanism to make a tradeoff between energy consumption and PLR, where the IoT devices used a lightweight learning method (i.e. multi-armed bandit algorithms) to determine  ... 
doi:10.1109/access.2021.3079095 fatcat:dstgjjke4rdtnjgnpcvjoqcyba

An Overview of Reinforcement Learning Algorithms for Handover Management in 5G Ultra-Dense Small Cell Networks

Jawad Tanveer, Amir Haider, Rashid Ali, Ajung Kim
2022 Applied Sciences  
This survey presented 5G mobility management in ultra-dense small cells networks using reinforcement learning techniques.  ...  First, we discussed existing surveys then we are focused on handover (HO) management in ultra-dense small cells (UDSC) scenario.  ...  Small cell technology is a promising yet economically driven approach to overcome the hurdles of mobile network operators, 5G coverage, capacity and IoT devices.  ... 
doi:10.3390/app12010426 fatcat:lhjni3sc2zghlhk34kzqahxd5i

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, C., see Li, M  ...  for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J  ...  ., +, TWC June 2020 3992-4007 Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues [article]

Yaohua Sun, Mugen Peng, Yangcheng Zhou, Yuzhe Huang, Shiwen Mao
2019 arXiv   pre-print
networking focuses on the applications in clustering, base station switching control, user association and routing.  ...  As a key technique for enabling artificial intelligence, machine learning (ML) is capable of solving complex problems without explicit programming.  ...  In [33] , an uplink user association problem for energy harvesting devices in an ultra-dense small cell network is studied.  ... 
arXiv:1809.08707v2 fatcat:6tnzliwthfehrpuxpmm45hs4vq

Communication and networking technologies for UAVs: A survey [article]

Abhishek Sharma, Pankhuri Vanjani, Nikhil Paliwal, Chathuranga M.Wijerathna Basnayaka, Dushantha Nalin K. Jayakody, Hwang-Cheng Wang, P. Muthuchidambaranathane
2020 arXiv   pre-print
With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one.  ...  Our literature review reveals the need for more research work on drone to drone and drone to device communications.  ...  D2D communication with frequency reuse and power control using a multiplayer multi-armed bandit model has been investigated by Kuo et al. [81] .  ... 
arXiv:2009.02280v1 fatcat:fx7hr332qbbfble6rbyuxirrn4

Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

Manuel Eugenio Morocho-Cayamcela, Haeyoung Lee, Wansu Lim
2019 IEEE Access  
We then discuss the promising approaches for how ML can contribute to supporting each target 5G network requirement, emphasizing its specific use cases and evaluating the impact and limitations they have  ...  Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be a key enabler and a leading infrastructure provider in the information and communication technology industry by  ...  A user scheduling and resource allocation scheme for the energy harvest across small cells (as in [90] ).  ... 
doi:10.1109/access.2019.2942390 fatcat:aeokq5rbubezzeb7gglksqxawi

Machine-to-machine communications: Technologies and challenges

Kwang-Cheng Chen, Shao-Yu Lien
2014 Ad hoc networks  
We present the technological scenario of M2M communications consisting of wireless infrastructure to cloud, and machine swarm of tremendous devices.  ...  Related technologies toward practical realization are explored to complete fundamental understanding and engineering knowledge of this new communication and networking technology front.  ...  for energy harvesting networking.  ... 
doi:10.1016/j.adhoc.2013.03.007 fatcat:fsd6zefdq5fotbm5vhpozc4wci

2021 Index IEEE Transactions on Wireless Communications Vol. 20

2021 IEEE Transactions on Wireless Communications  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TWC Aug. 2021 4902-4916 Resource Allocation for NOMA-MEC Systems in Ultra-Dense Networks: A Learning Aided Mean-Field Game Approach.  ... 
doi:10.1109/twc.2021.3135649 fatcat:bgd3vzb7pbee7jp75dnbucihmq

2019 Index IEEE Wireless Communications Letters Vol. 8

2019 IEEE Wireless Communications Letters  
., +, LWC June 2019 677-680 Distributed Uplink Power Control in an Ultra-Dense Millimeter Wave Network: A Mean-Field Game Approach.  ...  ., +, LWC Aug. 2019 1179-1182 Distributed NOMA-Based Multi-Armed Bandit Approach for Channel Access in Cognitive Radio Networks.  ... 
doi:10.1109/lwc.2019.2961756 fatcat:bwxehcl4ejew7a6m66prb6s4z4

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial [article]

Amal Feriani, Ekram Hossain
2020 arXiv   pre-print
In this context, this tutorial focuses on the role of DRL with an emphasis on deep Multi-Agent Reinforcement Learning (MARL) for AI-enabled 6G networks.  ...  Finally, we overview the state-of-the-art of MARL in fields such as Mobile Edge Computing (MEC), Unmanned Aerial Vehicles (UAV) networks, and cell-free massive MIMO, and identify promising future research  ...  The work was supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
arXiv:2011.03615v1 fatcat:zzbotslc3vczxmwf72y43k3ica
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