TY - JOUR
T1 - Detection of Burst Users and Symbols for Grant-Free Communication in the Presence of Massive Connected Users
AU - Wang, Yuanchen
AU - Zhu, Xu
AU - Lim, Eng Gee
AU - Wei, Zhongxiang
AU - Jiang, Yufei
AU - Gan, Lin
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grants 62171161, 62101384, and 61901138, in part by the Natural Science Foundation of Guangdong Province under Grant 2021A1515011832, in part by Shenzhen Science and Technology Program under Grants ZDSYS20210623091808025, JCYJ20210324133009027, JCYJ20210324131010028, and KQTD20190929172545139, in part by the Chongqing Key Laboratory of Mobile Communication Technology under Grant cqupt-mct-202101, and in part by the XJTLU AI University Research Centre and Jiangsu Province Engineering Research Centre of Data Science and Cognitive Computational at XJTLU.
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - We investigate user activity detection (UAD) and symbol detection (SD) for grant-free communication in the presence of massive users that are actively connected to base station (BS), where a small portion of to-be-connected users wake up in a burst. The number of effective interfering connected users is reduced to only one, by applying a preconditioning matrix to the received signals from multiple antennas at BS. Subsequently, an iterative UAD and SD scheme is applied, where the priori information about the remaining interfering user is exploited and the symbols of the burst users as well as the signature connected user are simultaneously detected by iterative exchanging of the soft information of user activity and symbols. The proposed system outperforms the existing work in terms of the success rate of UAD and bit error rate.
AB - We investigate user activity detection (UAD) and symbol detection (SD) for grant-free communication in the presence of massive users that are actively connected to base station (BS), where a small portion of to-be-connected users wake up in a burst. The number of effective interfering connected users is reduced to only one, by applying a preconditioning matrix to the received signals from multiple antennas at BS. Subsequently, an iterative UAD and SD scheme is applied, where the priori information about the remaining interfering user is exploited and the symbols of the burst users as well as the signature connected user are simultaneously detected by iterative exchanging of the soft information of user activity and symbols. The proposed system outperforms the existing work in terms of the success rate of UAD and bit error rate.
KW - Compressive sensing
KW - Grant-free communication
KW - Interference suppression
KW - Symbol detection
KW - User activity detection
UR - http://www.scopus.com/inward/record.url?scp=85128295746&partnerID=8YFLogxK
U2 - 10.1109/TVT.2022.3167093
DO - 10.1109/TVT.2022.3167093
M3 - Article
AN - SCOPUS:85128295746
SN - 0018-9545
VL - 71
SP - 7973
EP - 7978
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
ER -