Iterative Sparse Interference Cancelation Algorithm for Massive MIMO Uplink System

被引：0
作者：
Guan, Qing-Yang [1 ]
机构：
[1] Xian Int Univ, Coll Engn, Xian, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS | 2025年 / 38卷 / 06期
关键词：
interference cancelation; iterative scheme; massive MIMO; sparse interference cancelation; NOMA;
D O I：
10.1002/dac.70058
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We investigate an iterative sparse interference cancelation (ISIC) algorithm in massive multiple input multiple output (MIMO) uplink systems, which includes a multilayer implementation consisting of a channel sparse estimation layer using an improved Sparsity Adaptive Matching Pursuit (SAMP) algorithm, sorting layer and filtering layer with noise power threshold. The theoretical bound for noise power threshold is also addressed. To optimize sparse interference cancelation, we analyze its feasibility and robustness with an iterative scheme detecting the symbols sequentially and eliminating interference from all other users at different multiuser access conditions. Additionally, we provide theoretical proof for iteration termination condition. Analysis and simulation also demonstrate the performance of our proposed sparse interference cancelation approach ideal maximum likelihood (ML) detection under different multiuser access conditions.
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页数：9
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