Sequence Block based Compressed Sensing Multiuser Detection for 5G

TY - GEN

T1 - Sequence Block based Compressed Sensing Multiuser Detection for 5G

AU - Alam, Mehmood

AU - Zhang, Qi

PY - 2018

Y1 - 2018

N2 - Compressed sensing based multiuser detection (CSMUD) is a promising candidate to cope with the massive connectivity requirements of the massive machine type communication (mMTC) in the fifth generation (5G) wireless communication system. It facilitates grant-free non-orthogonal code division multiple access (CDMA) to accommodate massive number of IoT devices. In non-orthogonal CDMA, the users are assigned with non-orthogonal sequences which serve as their signatures. However, the activity detection which is based on the correlation between the spreading sequences, degrades with increase in the number of users, especially in the lower SNR region. In this paper, to improve the performance of the CSMUD, we propose a sequence block based CSMUD, in which block of sequences is used as signature of the user instead of single sequence. A sequence block based group orthogonal matching pursuit algorithm is proposed to jointly detect the activity and data. The proposed scheme reduces the detection error rate (DER) by a magnitude of two at SNR = 10 dB in a system where the number of users are three times more than the number of available resources with each user having activity probability of 0.1. The DER of the proposed scheme is below 10 {-2} even at activity probability of 0.16 for sequence length of 20 and overloading factor of 300\%. Furthermore, at SNR = 10 dB, the DER of the proposed scheme outperforms the conventional scheme by a magnitude of one for a system with overloading factor of 500\%.

AB - Compressed sensing based multiuser detection (CSMUD) is a promising candidate to cope with the massive connectivity requirements of the massive machine type communication (mMTC) in the fifth generation (5G) wireless communication system. It facilitates grant-free non-orthogonal code division multiple access (CDMA) to accommodate massive number of IoT devices. In non-orthogonal CDMA, the users are assigned with non-orthogonal sequences which serve as their signatures. However, the activity detection which is based on the correlation between the spreading sequences, degrades with increase in the number of users, especially in the lower SNR region. In this paper, to improve the performance of the CSMUD, we propose a sequence block based CSMUD, in which block of sequences is used as signature of the user instead of single sequence. A sequence block based group orthogonal matching pursuit algorithm is proposed to jointly detect the activity and data. The proposed scheme reduces the detection error rate (DER) by a magnitude of two at SNR = 10 dB in a system where the number of users are three times more than the number of available resources with each user having activity probability of 0.1. The DER of the proposed scheme is below 10 {-2} even at activity probability of 0.16 for sequence length of 20 and overloading factor of 300\%. Furthermore, at SNR = 10 dB, the DER of the proposed scheme outperforms the conventional scheme by a magnitude of one for a system with overloading factor of 500\%.

KW - 5G

KW - Compressive sensing

KW - NOMA

KW - massive machine type communication

KW - multiuser detection

KW - sporadic activity

UR - https://arxiv.org/abs/1809.10450

UR - https://arxiv.org/pdf/1809.10450.pdf

U2 - 10.1109/GLOCOM.2018.8647750

DO - 10.1109/GLOCOM.2018.8647750

M3 - Article in proceedings

SN - 978-1-5386-4727-1

T3 - IEEE Global Communications Conference (GLOBECOM)

BT - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

PB - IEEE

T2 - 2018 IEEE Global Communications Conference

Y2 - 9 December 2018 through 13 December 2018

ER -