Machine Learning-Based Resource Optimization for D2D Communication Underlaying Networks
Author:
Affiliation:
1. Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9348428/9348429/09348830.pdf?arnumber=9348830
Cited by 7 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. Efficient machine learning‐based hybrid resource allocation for device‐to‐device underlay communication in 5G wireless networks;International Journal of Communication Systems;2024-04-08
2. Dynamic Resource Allocation for 5G Device-to-Device Communication Based on Expected SARSA;Lecture Notes in Computer Science;2024
3. A PSO-Based Power Allocation Strategy for D2D and MS-NOMA Signals in Positioning-Timing-Communication Integration System;Lecture Notes in Electrical Engineering;2023-11-02
4. Autoencoder-based efficient resource allocation in device-to-device communication;Physical Communication;2023-10
5. Reinforcement Learning-Based Resource Allocation for M2M Communications over Cellular Networks;2022 IEEE Wireless Communications and Networking Conference (WCNC);2022-04-10
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