NOMA Performance Improvement with Downlink Sectorization
This study tackles the growing challenge of inter-user interference in Non-Orthogonal Multiple Access (NOMA) systems, particularly as user density increases in modern communication networks. The primary objective is to improve system performance by implementing a downlink sectorization strategy, whi...
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| Language: | English |
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Ital Publication
2025-02-01
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| Series: | Emerging Science Journal |
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| Online Access: | https://ijournalse.org/index.php/ESJ/article/view/2725 |
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| author | Hurianti Vidyaningtyas . Iskandar . Hendrawan Aloysius A. Pramudita |
| author_facet | Hurianti Vidyaningtyas . Iskandar . Hendrawan Aloysius A. Pramudita |
| author_sort | Hurianti Vidyaningtyas |
| collection | DOAJ |
| description | This study tackles the growing challenge of inter-user interference in Non-Orthogonal Multiple Access (NOMA) systems, particularly as user density increases in modern communication networks. The primary objective is to improve system performance by implementing a downlink sectorization strategy, which groups users into distinct sectors to manage interference and optimize resource allocation. A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. The methods employed included detailed simulations comparing the performance of traditional NOMA systems and those incorporating sectorization. The results demonstrate that sectorization can significantly boost the system’s sum rate by up to 25% and reduce decoding errors by as much as 51%, particularly when the number of users per sector is kept under 20. However, performance saturation occurs beyond this threshold, where additional users do not contribute to further improvements. The novelty of this research lies in applying spatial sectorization to NOMA, showing that spatial sectorization can minimize intra-sector interference, improve power efficiency, and maintain reliable communication in high-demand environments such as the Internet of Things (IoT). This study provides valuable insights for optimizing NOMA systems, crucial for next-generation wireless networks.
Doi: 10.28991/ESJ-2025-09-01-017
Full Text: PDF |
| format | Article |
| id | doaj-art-ed898b9afad3473a8991ad5fb958b727 |
| institution | Kabale University |
| issn | 2610-9182 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Ital Publication |
| record_format | Article |
| series | Emerging Science Journal |
| spelling | doaj-art-ed898b9afad3473a8991ad5fb958b7272025-02-08T14:26:27ZengItal PublicationEmerging Science Journal2610-91822025-02-019131132810.28991/ESJ-2025-09-01-017777NOMA Performance Improvement with Downlink SectorizationHurianti Vidyaningtyas0. Iskandar1. Hendrawan2Aloysius A. Pramudita31) School of Electrical Engineering and Informatics, Bandung Institute of Technology, Indonesia. 2) The University Center of Excellence for Intelligent Sensing-IOT, Telkom University, Bandung, Indonesia.School of Electrical Engineering and Informatics, Bandung Institute of Technology,School of Electrical Engineering and Informatics, Bandung Institute of Technology,The University Center of Excellence for Intelligent Sensing-IOT, Telkom University, Bandung,This study tackles the growing challenge of inter-user interference in Non-Orthogonal Multiple Access (NOMA) systems, particularly as user density increases in modern communication networks. The primary objective is to improve system performance by implementing a downlink sectorization strategy, which groups users into distinct sectors to manage interference and optimize resource allocation. A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. The methods employed included detailed simulations comparing the performance of traditional NOMA systems and those incorporating sectorization. The results demonstrate that sectorization can significantly boost the system’s sum rate by up to 25% and reduce decoding errors by as much as 51%, particularly when the number of users per sector is kept under 20. However, performance saturation occurs beyond this threshold, where additional users do not contribute to further improvements. The novelty of this research lies in applying spatial sectorization to NOMA, showing that spatial sectorization can minimize intra-sector interference, improve power efficiency, and maintain reliable communication in high-demand environments such as the Internet of Things (IoT). This study provides valuable insights for optimizing NOMA systems, crucial for next-generation wireless networks. Doi: 10.28991/ESJ-2025-09-01-017 Full Text: PDFhttps://ijournalse.org/index.php/ESJ/article/view/2725nomasectorizationmaximum userinterference mitigation. |
| spellingShingle | Hurianti Vidyaningtyas . Iskandar . Hendrawan Aloysius A. Pramudita NOMA Performance Improvement with Downlink Sectorization Emerging Science Journal noma sectorization maximum user interference mitigation. |
| title | NOMA Performance Improvement with Downlink Sectorization |
| title_full | NOMA Performance Improvement with Downlink Sectorization |
| title_fullStr | NOMA Performance Improvement with Downlink Sectorization |
| title_full_unstemmed | NOMA Performance Improvement with Downlink Sectorization |
| title_short | NOMA Performance Improvement with Downlink Sectorization |
| title_sort | noma performance improvement with downlink sectorization |
| topic | noma sectorization maximum user interference mitigation. |
| url | https://ijournalse.org/index.php/ESJ/article/view/2725 |
| work_keys_str_mv | AT huriantividyaningtyas nomaperformanceimprovementwithdownlinksectorization AT iskandar nomaperformanceimprovementwithdownlinksectorization AT hendrawan nomaperformanceimprovementwithdownlinksectorization AT aloysiusapramudita nomaperformanceimprovementwithdownlinksectorization |