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

Grant-free random access is an effective solution to enable massive access for future Internet of Vehicles (IoV) scenarios based on massive machine-type communication (mMTC). Considering the uplink transmission of grant-free based vehicular networks, vehicular devices sporadically access the base station, the joint active device detection (ADD) and channel estimation (CE) problem can be addressed by compressive sensing (CS) recovery algorithms due to the sparsity of transmitted signals. However, traditional CS-based algorithms present high complexity and low recovery accuracy. In this manuscript, the authors propose a novel alternating direction method of multipliers (ADMM) algorithm with low complexity to solve this problem by minimizing the $\ell _{2,1}$ norm. Furthermore, they design a deep unfolded network with learnable parameters based on the proposed ADMM, which can simultaneously improve convergence rate and recovery accuracy. The experimental results demonstrate that the proposed unfolded network performs better performance than other traditional algorithms in terms of ADD and CE.

• Record URL:
  • https://doi.org/10.1109/TITS.2023.3296452
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Dang, Xiaobing
  • Xiang, Wei
  • Yuan, Lei
  • Yang, Yuan
  • Wang, Eric
  • Huang, Tao
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 14443-14452
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 24
  • Issue Number: 12
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Internet of things; Vehicle to infrastructure communications; Vehicle to vehicle communications; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01906579
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2024 9:13AM