Joint DDPG and Unsupervised Learning for Channel Allocation and Power Control in Centralized Wireless Cellular Networks-Reference-Cited by-同舟云学术

Joint DDPG and Unsupervised Learning for Channel Allocation and Power Control in Centralized Wireless Cellular Networks

Published:2023 Issue: Volume:11 Page:42191-42203
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sun Ming¹^ORCID,Mei Erzhuang¹,Wang Shumei²,Jin Yanhui¹

Affiliation:

1. College of Computer and Control Engineering, Qiqihar University, Qiqihar, China

2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China

Funder

Joint Guiding Project of Natural Science Foundation of Heilongjiang Province

Scientific Research Foundation of the Education Department of Heilongjiang Province

Humanities and Social Science Fund of Ministry of Education of China

Philosophy and Social Science Research Project in Jiangsu Universities

14th Five-Year Plan of Education Science in Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10107912.pdf?arnumber=10107912

Reference20 articles.

1. Deep Reinforcement Learning for Joint Channel Selection and Power Control in D2D Networks

2. Joint Deep Reinforcement Learning and Unsupervised Learning for Channel Selection and Power Control in D2D Networks

3. Joint Resource Allocation and Mode Selection for Device-to-Device Communication Underlying Cellular Networks

4. Downlink power allocation algorithm based on deep reinforcement learning in dense heterogeneous cellular networks;zhou;J Nanjing Univ Posts Telecommun,2021

5. Deep Learning for Radio Resource Allocation in Multi-Cell Networks

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