TY - JOUR
T1 - Sparsity-Aware Ordered Successive Interference Cancellation for Massive Machine-Type Communications
AU - Ahn, Jinyoup
AU - Shim, Byonghyo
AU - Lee, Kwang Bok
N1 - Funding Information:
Manuscript received August 12, 2017; revised September 11, 2017; accepted October 3, 2017. Date of publication October 9, 2017; date of current version February 16, 2018. This work was supported by the Institute for Information and Communications Technology Promotion through Korea Government under Grant 2016-0-00209. The associate editor coordinating the review of this paper and approving it for publication was D. So. (Corresponding author: Kwang Bok Lee.) The authors are with the Department of Electrical and Computer Engineering and the Institute of New Media and Communications, Seoul National University, Seoul 08826, South Korea (e-mail: ahnjymcl@snu.ac.kr; bshim@snu.ac.kr; klee@snu.ac.kr). Digital Object Identifier 10.1109/LWC.2017.2760831
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2
Y1 - 2018/2
N2 - In massive machine-type communication systems, by exploiting sporadic device activities, compressed sensing-based multi-user detection (CS-MUD) is used to recover sparse multi-user vectors. In CS-MUD, multi-user vectors are detected based on a sparsity-aware maximum a posteriori probability (S-MAP) criterion. To reduce the computational complexity of S-MAP detection, a sparsity-aware successive interference cancellation (SA-SIC) technique can be used. However, SA-SIC does not perform well without proper layer sorting due to error propagation. In this letter, we propose a novel sparsity-aware ordered SIC scheme that finds the optimal detection order based on the activity probabilities and channel gains of devices. Simulation results verify that the proposed scheme greatly improves the performance of SA-SIC.
AB - In massive machine-type communication systems, by exploiting sporadic device activities, compressed sensing-based multi-user detection (CS-MUD) is used to recover sparse multi-user vectors. In CS-MUD, multi-user vectors are detected based on a sparsity-aware maximum a posteriori probability (S-MAP) criterion. To reduce the computational complexity of S-MAP detection, a sparsity-aware successive interference cancellation (SA-SIC) technique can be used. However, SA-SIC does not perform well without proper layer sorting due to error propagation. In this letter, we propose a novel sparsity-aware ordered SIC scheme that finds the optimal detection order based on the activity probabilities and channel gains of devices. Simulation results verify that the proposed scheme greatly improves the performance of SA-SIC.
KW - Massive machine-type communication
KW - compressed sensing
KW - multi-user detection
KW - sporadic communication
KW - successive interference cancellation
UR - http://www.scopus.com/inward/record.url?scp=85031790489&partnerID=8YFLogxK
U2 - 10.1109/LWC.2017.2760831
DO - 10.1109/LWC.2017.2760831
M3 - Article
AN - SCOPUS:85031790489
SN - 2162-2337
VL - 7
SP - 134
EP - 137
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 1
ER -