A Large-Scale Energy Efficient Time-Domain Pilot Muting Mechanism for Non-Stationary Channels: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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A Large-Scale Energy Efficient Time-Domain Pilot Muting Mechanism for Non-Stationary Channels: A Deep Reinforcement Learning Approach

Published:2024-01 Issue:1 Volume:13 Page:93-97
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Sun Yanzan¹^ORCID,Ye Xinrui¹^ORCID,Tan Hongchang¹^ORCID,Zhang Shunqing¹^ORCID,Chen Xiaojing¹^ORCID,Xu Shugong¹^ORCID

Affiliation:

1. School of Communication and Information Engineering, Shanghai University, Shanghai, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/10384452/10269131.pdf?arnumber=10269131

Reference16 articles.

1. 6G: Connecting Everything by 1000 Times Price Reduction

2. A General 3-D Non-Stationary 5G Wireless Channel Model

3. Near-Optimal Pilot Signal Design for FDD Massive MIMO System: An Energy-Efficient Perspective

4. Reference Signal Design and Power Optimization for Energy-Efficient 5G V2X Integrated Sensing and Communications

5. AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning

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