Deep Unfolding Scheme for Grant-Free Massive-Access Vehicular Networks-Reference-Cited by-同舟云学术

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Deep Unfolding Scheme for Grant-Free Massive-Access Vehicular Networks

Published:2023-12 Issue:12 Volume:24 Page:14443-14452
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Dang Xiaobing¹,Xiang Wei²^ORCID,Yuan Lei¹,Yang Yuan¹^ORCID,Wang Eric³^ORCID,Huang Tao³^ORCID

Affiliation:

1. School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China

2. School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia

3. College of Science and Engineering, James Cook University, Cairns, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10292744.pdf?arnumber=10292744

Reference35 articles.

1. Joint Active User Detection and Channel Estimation Via Bayesian Learning Approaches in MTC Communications

2. Efficient block-coordinate descent algorithms for the Group Lasso

3. Constructions of binary signature sets with optimal odd total squared correlation and their application to device activity detection;liu;IEEE Trans Intell Transp Syst,2023

4. A fast algorithm for recovery of jointly sparse vectors based on the alternating direction methods;lu;Proc 14th Int Conf Artif Intell Statist,2011

5. Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation

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