Asynchronous Activity Detection for Cell-Free Massive MIMO: From Centralized to Distributed Algorithms-Reference-Cited by-同舟云学术

Asynchronous Activity Detection for Cell-Free Massive MIMO: From Centralized to Distributed Algorithms

Published:2023-04 Issue:4 Volume:22 Page:2477-2492
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Li Yang¹^ORCID,Lin Qingfeng²^ORCID,Liu Ya-Feng³^ORCID,Ai Bo⁴^ORCID,Wu Yik-Chung²^ORCID

Affiliation:

1. Shenzhen Research Institute of Big Data, Shenzhen, China

2. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong

3. State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/ Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

4. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Beijing Jiaotong University

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10098671/09916169.pdf?arnumber=9916169

Reference51 articles.

1. Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA

2. Iterative Joint Channel Estimation, User Activity Tracking, and Data Detection for FTN-NOMA Systems Supporting Random Access

3. Joint Activity Detection and Channel Estimation in Massive MIMO Systems With Angular Domain Enhancement

4. Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access

5. Iterative Receiver Design for FTN Signaling Aided Sparse Code Multiple Access

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