Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication

TY - GEN

T1 - Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication

AU - Alam, Mehmood

AU - Zhang, Qi

PY - 2018/6/11

Y1 - 2018/6/11

N2 - Compressed sensing based multiuser detection is a recently developed scheme to cope with the massive machine-type communication in the fifth generation wireless system. Activity detection is one of the critical steps in compressed sensing based multiuser detection which determines the performance of system. In this paper we address this issue and propose two approaches for efficient detection and recovery of the signal. First, the diversity in the multiuser detection is increased by using a circularly right-shifted version of the sensing matrix along with the original sensing matrix for spreading the user data. Secondly, a deterministic sensing matrix based on Zadoff-Chu sequences is designed and accordingly a low complexity decoding algorithm is proposed which significantly reduces the detection error rate. It is shown that the proposed methods reduce the bit error rate by magnitude of one and two.

AB - Compressed sensing based multiuser detection is a recently developed scheme to cope with the massive machine-type communication in the fifth generation wireless system. Activity detection is one of the critical steps in compressed sensing based multiuser detection which determines the performance of system. In this paper we address this issue and propose two approaches for efficient detection and recovery of the signal. First, the diversity in the multiuser detection is increased by using a circularly right-shifted version of the sensing matrix along with the original sensing matrix for spreading the user data. Secondly, a deterministic sensing matrix based on Zadoff-Chu sequences is designed and accordingly a low complexity decoding algorithm is proposed which significantly reduces the detection error rate. It is shown that the proposed methods reduce the bit error rate by magnitude of one and two.

KW - Compressive sensing

KW - Machine type communication

KW - Massive connectivity

KW - Multiuser detection

KW - Sporadic traffic

UR - http://www.scopus.com/inward/record.url?scp=85049185245&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2018.8377222

DO - 10.1109/WCNC.2018.8377222

M3 - Article in proceedings

SN - 978-1-5386-1735-9

SP - 1

EP - 6

BT - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

PB - IEEE

T2 - 2018 IEEE Wireless Communications and Networking Conference

Y2 - 15 April 2018 through 18 April 2018

ER -