Efficient Spectrum Sharing in 5G Networks Using Cognitive NOMA Enhanced by Cooperative Relaying

Efficient Spectrum Sharing in 5G Networks Using Cognitive NOMA Enhanced by Cooperative Relaying | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 24 June 2025 V1 Latest version Share on Efficient Spectrum Sharing in 5G Networks Using Cognitive NOMA Enhanced by Cooperative Relaying Authors : Yohane Joseph Ntonya 0009-0004-4125-1487 [email protected] , Job Adedamola Adeleke , Samson Adegoke 0000-0003-2208-1406 , and Segun Emmanuel Gbadamosi Authors Info & Affiliations https://doi.org/10.22541/au.175079194.40625424/v1 222 views 228 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The study provides a framework of Cognitive Non-Orthogonal Multiple Access that combines Decode-and-Forward cooperative relaying to solve the issue of interference and spectrum usage efficiency in a 5G wireless network. The system performance was evaluated using the MATLAB Simulations and utilising Bit Error Rate (BER) and Outage Probability (OP) over various modulation schemes, signal-to-noise ratio (SNR), and relay protocols. The cooperative C-NOMA scheme also showed significant improvement compared to traditional NOMA; e.g., with QPSK at 20 dB, the BER reduced 1.46×10 -6 to 8.02×10 -7 (45.2% enhancement) whereas the OP dropped from 0.0528 to 0.0369 (approximately 30.1%). The interference also droped in the high-order modulation schemes, compared to the results of Shachi et al. (2022). When the signal at 256QAM and at 20 dB, the BER experienced in Shachi structure was 4.48×10 -4 , an OP of 0.394, whereas C-NOMA gave 1.4610 ×10 -5 (96.7% reduction) and 0.0297 (92.5% enhancement) in OP. All these are due to the flexibility offered by C-NOMA systems and due to the success of successive interference cancellation (SIC) in cooperative relaying, and the cognitive Radio schemes. The results highlight the effectiveness and the efficiency of the proposed C-NOMA as a potential solution in improving the spectral efficiency in the 5G. Supplementary Material File (yohane joseph ntonya.docx) Download 545.89 KB Information & Authors Information Version history V1 Version 1 24 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cooperative relaying decode and forward relay modulation schemes non-orthogonal multiple access Authors Affiliations Yohane Joseph Ntonya 0009-0004-4125-1487 [email protected] Pan African University Institute for Basic Sciences Technology and Innovation View all articles by this author Job Adedamola Adeleke Pan African University Institute for Basic Sciences Technology and Innovation View all articles by this author Samson Adegoke 0000-0003-2208-1406 Pan African University Institute for Basic Sciences Technology and Innovation View all articles by this author Segun Emmanuel Gbadamosi Ladoke Akintola University of Technology Department of Medicine View all articles by this author Metrics & Citations Metrics Article Usage 222 views 228 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yohane Joseph Ntonya, Job Adedamola Adeleke, Samson Adegoke, et al. Efficient Spectrum Sharing in 5G Networks Using Cognitive NOMA Enhanced by Cooperative Relaying. Authorea . 24 June 2025. DOI: https://doi.org/10.22541/au.175079194.40625424/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 . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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