Abstract
This paper introduces two novel non-orthogonal multiple access (NOMA) configurations tailored for extra-large MIMO (XL-MIMO) systems, leveraging non-stationary channel characteristics to improve multiuser separation and spectral efficiency (SE). Specifically, a visibility region (VR)-aware scheduling strategy is proposed, allowing the superposition of near and far-field users through both partial and full NOMA approaches. Low-complexity, VR-aware detection techniques are developed for each NOMA configuration. In this design, nearfield users with distinct, non-overlapping VRs share frequency resources with a far-field user occupying a larger VR, with the proposed detection techniques ensuring effective multiuser separation. This approach enhances system capacity and supports massive connectivity within the XL-MIMO framework. Simulations demonstrate significant gains in bit error rate (BER) and SE across all users, all while maintaining low the complexity.
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Visibility Region-Aware NOMA in XL-MIMO Systems | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 30 June 2025 V1 Latest version Share on Visibility Region-Aware NOMA in XL-MIMO Systems Authors : Chiza M Christophe , Abuu B Kihero , and Hüseyin Arslan Authors Info & Affiliations https://doi.org/10.22541/au.175131714.49220462/v1 Published IEEE Transactions on Vehicular Technology Version of record Peer review timeline 214 views 115 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This paper introduces two novel non-orthogonal multiple access (NOMA) configurations tailored for extra-large MIMO (XL-MIMO) systems, leveraging non-stationary channel characteristics to improve multiuser separation and spectral efficiency (SE). Specifically, a visibility region (VR)-aware scheduling strategy is proposed, allowing the superposition of near and far-field users through both partial and full NOMA approaches. Low-complexity, VR-aware detection techniques are developed for each NOMA configuration. In this design, nearfield users with distinct, non-overlapping VRs share frequency resources with a far-field user occupying a larger VR, with the proposed detection techniques ensuring effective multiuser separation. This approach enhances system capacity and supports massive connectivity within the XL-MIMO framework. Simulations demonstrate significant gains in bit error rate (BER) and SE across all users, all while maintaining low the complexity. Supplementary Material File (manuscript.pdf) Download 523.62 KB Information & Authors Information Version history V1 Version 1 30 June 2025 Peer review timeline Published IEEE Transactions on Vehicular Technology Version of Record 1 Jan 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords array non-stationarity multi-user detection near field noma visibility region xl-mimo Authors Affiliations Chiza M Christophe View all articles by this author Abuu B Kihero View all articles by this author Hüseyin Arslan View all articles by this author Metrics & Citations Metrics Article Usage 214 views 115 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Chiza M Christophe, Abuu B Kihero, Hüseyin Arslan. Visibility Region-Aware NOMA in XL-MIMO Systems. Authorea . 30 June 2025. DOI: https://doi.org/10.22541/au.175131714.49220462/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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