{"title":"Iterative Sparse Interference Cancelation Algorithm for Massive MIMO Uplink System","authors":"Qing-Yang Guan","doi":"10.1002/dac.70058","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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.</p>\n </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 6","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Communication Systems","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/dac.70058","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal''s emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector. The International Journal of Communication Systems strives to select a balance of contributions that promotes technical innovation allied to practical relevance across the range of system types and issues.
The Journal addresses both public communication systems (Telecommunication, mobile, Internet, and Cable TV) and private systems (Intranets, enterprise networks, LANs, MANs, WANs). The following key areas and issues are regularly covered:
-Transmission/Switching/Distribution technologies (ATM, SDH, TCP/IP, routers, DSL, cable modems, VoD, VoIP, WDM, etc.)
-System control, network/service management
-Network and Internet protocols and standards
-Client-server, distributed and Web-based communication systems
-Broadband and multimedia systems and applications, with a focus on increased service variety and interactivity
-Trials of advanced systems and services; their implementation and evaluation
-Novel concepts and improvements in technique; their theoretical basis and performance analysis using measurement/testing, modelling and simulation
-Performance evaluation issues and methods.