Sequence Block based Compressed Sensing Multiuser Detection for 5G

TL;DR

This paper introduces a sequence block based compressed sensing multiuser detection scheme for 5G, significantly improving activity detection accuracy in massive IoT scenarios with high user density and low SNR.

Contribution

It proposes a novel sequence block approach and a group orthogonal matching pursuit algorithm, enhancing detection performance over traditional methods in crowded 5G environments.

Findings

Reduces detection error rate by a factor of two at 10 dB SNR.

Achieves DER below 10^-2 at high activity probabilities.

Outperforms conventional schemes by an order of magnitude in DER at high overloading factors.

Abstract

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%.