Dilated Convolution Based CSI Feedback Compression for Massive MIMO Systems

Author:

Tang Shunpu1ORCID,Xia Junjuan1ORCID,Fan Lisheng1ORCID,Lei Xianfu2ORCID,Xu Wei3ORCID,Nallanathan Arumugam4ORCID

Affiliation:

1. School of Computer Science, Guangzhou University, Guangzhou, China

2. Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China

3. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

4. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.

Funder

NSFC

Natural Science Foundation of Guangdong Province

Research Program of Guangzhou University

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Mobile Communications Research Laboratory

Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

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1. Secure 5G downlink NOMA cognitive relay network: joint the impact of imperfect spectrum sensing and outdated CSI;Wireless Networks;2024-01-17

2. A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback;IEEE Transactions on Wireless Communications;2024-01

3. Deep Decoder CsiNet for FDD Massive MIMO System;IEEE Wireless Communications Letters;2023-12

4. Variational AutoEncoder Based CSI Feedback for Massive MIMO Systems;Wireless Personal Communications;2023-12-01

5. Mal-Net: multi-scale feature extraction and attention mechanism lightweight network for CSI feedback;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10

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