{"title":"Equidistant Power Allocation in Downlink AE-NOMA: A Deep Learning Approach","authors":"Namrata Choubey, Aditya Trivedi, Rinkoo Bhatia","doi":"10.1002/dac.70132","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Nonorthogonal multiple access (NOMA) is a key element of sixth-generation (6G) wireless networks, designed to improve spectrum efficiency. The introduction of deep learning (DL) in wireless networks has advanced wireless system performance compared to previous generations. In a NOMA system, power is distributed to different users in a cluster or cell. This paper focuses on distributing power to different service demands of a single user in a cell with minimal error rate. We introduce the service-based downlink autoencoder (AE)-NOMA scheme for multiservice NOMA transmission for a single user. The power is distributed to different services through an equidistant power allocation scheme. Integrating AE, NOMA, and the power allocation scheme is developed to enable end-to-end (E2E) signal transmission with an enhanced signal-to-noise (SNR) ratio. It aims to improve the wireless network's block error rate (BLER) performance. The proposed scheme surpasses traditional standard state-of-the-art (SOTA) techniques, the classical successive interference cancellation (SIC)-NOMA scheme, and the AE-based NOMA system. The simulation results highlight the effectiveness and adaptability of the proposed scheme across various scenarios.</p>\n </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-05-24","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.70132","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
Nonorthogonal multiple access (NOMA) is a key element of sixth-generation (6G) wireless networks, designed to improve spectrum efficiency. The introduction of deep learning (DL) in wireless networks has advanced wireless system performance compared to previous generations. In a NOMA system, power is distributed to different users in a cluster or cell. This paper focuses on distributing power to different service demands of a single user in a cell with minimal error rate. We introduce the service-based downlink autoencoder (AE)-NOMA scheme for multiservice NOMA transmission for a single user. The power is distributed to different services through an equidistant power allocation scheme. Integrating AE, NOMA, and the power allocation scheme is developed to enable end-to-end (E2E) signal transmission with an enhanced signal-to-noise (SNR) ratio. It aims to improve the wireless network's block error rate (BLER) performance. The proposed scheme surpasses traditional standard state-of-the-art (SOTA) techniques, the classical successive interference cancellation (SIC)-NOMA scheme, and the AE-based NOMA system. The simulation results highlight the effectiveness and adaptability of the proposed scheme across various scenarios.
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.