Paper Info
Title
Fast Power Reconstruction For User Detection Of Autonomous Grant-Free Data-Only Schemes
Abstract
Autonomous grant-free data-only transmissions greatly simplify machine type communications, but present many challenges. One of them is the compressed sensing multiple measurement vector (MMV) problem of user detection. The sensing matrix is very underdetermined, and the amount of measurement vectors is large, which affect performance and complexity, respectively. In this paper, a fast power reconstruction (FPR) algorithm is proposed. FPR simplifies MMV to single measurement vector, and no iterations is required, which reduce the complexity. The row dimension of sensing matrix is expanded, and thus the performance is improved. The simulation results validate its good performance and ultra-low computational complexity.
Year
DOI
Venue
2020
10.1109/VTC2020-Fall49728.2020.9348798
2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL)
Keywords
DocType
Citations 
Autonomous grant-free, data-only, MTC, user detection, compressed sensing, power reconstruction
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Ma Yihua134.47
Zhifeng Yuan2294.20
Yuzhou Hu312.38
Weimin Li46325.40
Zhigang Li500.34