Your Location：
Home >
Browse articles >
Joint active user detection and channel estimation for massive machine-type communications: a difference-of-convex optimization perspective
Regular Papers | Updated：2025-05-06

    • Joint active user detection and channel estimation for massive machine-type communications: a difference-of-convex optimization perspective

      Enhanced Publication
    • 大规模机器类型通信的联合活跃用户检测和信道估计：凸差优化视角
    • “In the field of grant-free massive machine-type communication systems, sparsity-based joint active user detection and channel estimation algorithms are crucial. Expert proposed an efficient difference-of-convex function algorithm based JADCE algorithm with multiple measurement vector frameworks, promoting the row-sparsity of the channel matrix, which provides solutions to solve active user detection and channel estimation problems.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 4, Pages: 588-604(2025)

    • DOI：10.1631/FITEE.2400035    

      CLC： TP301.6

    • Received：15 January 2024，

      Revised：09 April 2024，

      Published：2025-04

    Scan QR Code

  • Lijun ZHU, Kaihui LIU, Liangtian WAN, et al. Joint active user detection and channel estimation for massive machine-type communications: a difference-of-convex optimization perspective[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 588-604. DOI： 10.1631/FITEE.2400035.

  •  
  •  

0

Views

0

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

No data

Related Institution

No data
0