Massive Access in Cell-Free Massive MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms

Author:

Ke Malong1ORCID,Gao Zhen1ORCID,Wu Yongpeng2ORCID,Gao Xiqi3ORCID,Wong Kai-Kit4ORCID

Affiliation:

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

2. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

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

4. Department of Electronic and Electrical Engineering, University College London, London, U.K.

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Young Elite Scientists Sponsorship Program by CAST

Talent Innovation Project of BIT

National Key Research and Development Program of China

JiangXi Key Research and Development Program

National Science Foundation

Young Elite Scientist Sponsorship Program by CAST

Open Research Project of State Key Laboratory of Integrated Services Networks, Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

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3. A Scalable Deep-Learning-Based Active User Detection Approach for SEU-Assisted Cell-Free Massive MIMO Systems;IEEE Internet of Things Journal;2023-11-15

4. Multi-user generic channel equalization and sources separation for MIMO communication systems;2023 IEEE Tenth International Conference on Communications and Networking (ComNet);2023-11-01

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