Work

Block Iterative Support Detection for Uplink Grant-Free MIMO-NOMA

Year: 2025

Type: article

Abstract: Grant-Free-Non-orthogonal multiple access (GF-NOMA) is a powerful means to reduce signaling overhead, provide a large number of connections, and support low latency requirements in 6G Internet of Things applications. However, the accuracy of multi-user detection (MUD) remains a challenge. In this letter, we propose a Block Iterative Support Detection (BISD) MUD algorithm for GF-NOMA, which exploits the spatial diversity gain and block sparsity provided by multiple-input multiple-output (MIMO) to improve the MUD accuracy of the traditional Iterative Support Detection (ISD) algorithm. The proposed BISD algorithm efficiently updates the active support set by block-wise non-zero judgment in each iteration to improve detection accuracy. Simulation results show that BISD improves the detection performance with faster convergence speed, compared with ISD and other traditional MUD algorithms for GF-NOMA.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2025.3541419

Authors: Ruibin Lei, Xiaoxu Zhang, Fengwen Shi, Xiangwei Zhou, Zhengchun Zhou, Jiaqi Liu

Institutions: Southwest Jiaotong University, Louisiana State University, China Electronics Technology Group Corporation

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Sichuan Province Science and Technology Support Program

OpenAlex ID: W4407406440

FWCI: 0.46

Cites: 12

Cited by: 2

Related to: 10