Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems
Enhancing energy efficiency, content distribution, latency, and transmission speeds are vital components of communication systems. Multiple access methods hold great promise for boosting these performance indicators. This manuscript evaluates the effectiveness of Non-Orthogonal Multiple Access (NOMA...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/24/5033 |
| _version_ | 1797381350496403456 |
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| author | Mostafa Mahmoud El-Gayar Mohammed Nasser Ajour |
| author_facet | Mostafa Mahmoud El-Gayar Mohammed Nasser Ajour |
| author_sort | Mostafa Mahmoud El-Gayar |
| collection | DOAJ |
| description | Enhancing energy efficiency, content distribution, latency, and transmission speeds are vital components of communication systems. Multiple access methods hold great promise for boosting these performance indicators. This manuscript evaluates the effectiveness of Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) systems within a single cell, where users are scattered randomly and rely on relays for dependability. This paper presents a model for improving energy efficiency, content distribution, latency, and transmission speeds in communication systems using NOMA and OMA systems within a single cell. Additionally, this paper also proposes a caching strategy using unmanned aerial vehicles (UAVs) as aerial base stations for ground users. These UAVs distribute cached content to minimize the overall latency of content demands from ground users while modifying their positions. We carried out simulations using various cache capacities and user counts linked to their respective UAVs. Furthermore, we evaluated OMA and NOMA in terms of the achievable rate and energy efficiency. The proposed model has achieved noteworthy enhancement across various scenarios including different sum rates, numbers of mobility users, diverse cache sizes, and amounts of power allocation. |
| first_indexed | 2024-03-08T20:50:11Z |
| format | Article |
| id | doaj.art-dbbd7d0d6fca4e1f8c64ce6679bd3945 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T20:50:11Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-dbbd7d0d6fca4e1f8c64ce6679bd39452023-12-22T14:05:18ZengMDPI AGElectronics2079-92922023-12-011224503310.3390/electronics12245033Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications SystemsMostafa Mahmoud El-Gayar0Mohammed Nasser Ajour1Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, EgyptDepartment of Electrical and Computer Engineering, Faculty of Engineering, King AbdulaIz University, Jeddah 80204, Saudi ArabiaEnhancing energy efficiency, content distribution, latency, and transmission speeds are vital components of communication systems. Multiple access methods hold great promise for boosting these performance indicators. This manuscript evaluates the effectiveness of Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) systems within a single cell, where users are scattered randomly and rely on relays for dependability. This paper presents a model for improving energy efficiency, content distribution, latency, and transmission speeds in communication systems using NOMA and OMA systems within a single cell. Additionally, this paper also proposes a caching strategy using unmanned aerial vehicles (UAVs) as aerial base stations for ground users. These UAVs distribute cached content to minimize the overall latency of content demands from ground users while modifying their positions. We carried out simulations using various cache capacities and user counts linked to their respective UAVs. Furthermore, we evaluated OMA and NOMA in terms of the achievable rate and energy efficiency. The proposed model has achieved noteworthy enhancement across various scenarios including different sum rates, numbers of mobility users, diverse cache sizes, and amounts of power allocation.https://www.mdpi.com/2079-9292/12/24/5033non-orthogonal multiple access wireless networkunmanned aerial vehiclesreinforcement neural networksixth-generation technology |
| spellingShingle | Mostafa Mahmoud El-Gayar Mohammed Nasser Ajour Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems Electronics non-orthogonal multiple access wireless network unmanned aerial vehicles reinforcement neural network sixth-generation technology |
| title | Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems |
| title_full | Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems |
| title_fullStr | Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems |
| title_full_unstemmed | Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems |
| title_short | Resource Allocation in UAV-Enabled NOMA Networks for Enhanced Six-G Communications Systems |
| title_sort | resource allocation in uav enabled noma networks for enhanced six g communications systems |
| topic | non-orthogonal multiple access wireless network unmanned aerial vehicles reinforcement neural network sixth-generation technology |
| url | https://www.mdpi.com/2079-9292/12/24/5033 |
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