Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Author:

Gao Zhen1ORCID,Liu Shicong1ORCID,Su Yu2,Li Zhongxiang3ORCID,Zheng Dezhi3ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. China Mobile Chengdu Institute of Research and Development, Chengdu, China

3. MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Beijing Nova Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

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1. Deep Learning-Based Channel Estimation and Beamforming Architecture for Massive MIMO Systems;Journal of The Institution of Engineers (India): Series B;2024-08-23

2. Distributed Multi-Objective Dynamic Offloading Scheduling for Air–Ground Cooperative MEC;IEEE Transactions on Vehicular Technology;2024-08

3. Scheduling of Millimeter Wave Communications for Ultra-High-Speed Vacuum Tube Train;IEEE Transactions on Vehicular Technology;2024-06

4. Efficient Joint Hybrid Precoding And Analog Combining Scheme For Massive MIMO Systems;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

5. Joint User Scheduling and Beamforming Design with Local CSI in Cell-Free Networks;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

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