Function Approximation Based Reinforcement Learning for Edge Caching in Massive MIMO Networks-Reference-Cited by-同舟云学术

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Function Approximation Based Reinforcement Learning for Edge Caching in Massive MIMO Networks

Published:2021-04 Issue:4 Volume:69 Page:2304-2316
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Garg Navneet,Sellathurai Mathini,Bhatia Vimal,Ratnarajah Tharmalingam

Funder

UK Engineering and Physical Sciences Research Council

UK-India Education and Research Initiative Thematic Partnerships

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9405515/09309269.pdf?arnumber=9309269

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications;IEEE Communications Surveys & Tutorials;2024

2. Optimizing Performance of Worst Case User in Ultra-dense Networks Utilizing Deep Q-learning;International Journal of Sensors, Wireless Communications and Control;2023-10

3. Ensemble Learning-Based Edge Caching Strategies for Internet of Vehicles: Outage and Finite SNR Analysis;IEEE Open Journal of the Communications Society;2023

4. A Survey on Applications of Cache-Aided NOMA;IEEE Communications Surveys & Tutorials;2023

5. Communication-Efficient Federated Learning For Massive MIMO Systems;2022 IEEE Wireless Communications and Networking Conference (WCNC);2022-04-10

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