Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency
Abstract This research introduces a novel approach to enhance energy efficiency in Mobile-Edge Computing (MEC) systems by integrating Non-Orthogonal Multiple Access (NOMA) with energy harvesting in a full-duplex (FD) environment. The primary objective is to optimize edge computing performance while...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-96272-4 |
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| author | Mirza Baber Baig Taoshen Li Muhammad Zain Yousaf Mohit Bajaj Arvind R. Singh Milkias Berhanu Tuka |
| author_facet | Mirza Baber Baig Taoshen Li Muhammad Zain Yousaf Mohit Bajaj Arvind R. Singh Milkias Berhanu Tuka |
| author_sort | Mirza Baber Baig |
| collection | DOAJ |
| description | Abstract This research introduces a novel approach to enhance energy efficiency in Mobile-Edge Computing (MEC) systems by integrating Non-Orthogonal Multiple Access (NOMA) with energy harvesting in a full-duplex (FD) environment. The primary objective is to optimize edge computing performance while minimizing energy consumption. A comprehensive resource allocation strategy is proposed, considering CPU frequency, power control for both uplink and downlink, time scheduling, and data offloading. Mobile users can offload computationally demanding tasks to MEC servers via NOMA, promoting efficient data exchange. Full-duplex base stations simultaneously manage task offloading and energy transmission, improving resource utilization. A Block Coordinate Descent (BCD)-based algorithm addresses the non-convex optimization challenge, offering an optimal solution. Simulation results demonstrate that the NOMA-assisted FD-MEC system significantly outperforms traditional Orthogonal Multiple Access and Half-Duplex approaches, leading to improved energy efficiency and reduced energy consumption. This study highlights the potential of integrating NOMA, energy harvesting, and full-duplex technologies to create more energy-efficient MEC systems. |
| format | Article |
| id | doaj-art-aea95bc13e184b8abb0f93f76ce8bc77 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-aea95bc13e184b8abb0f93f76ce8bc772025-08-20T02:20:06ZengNature PortfolioScientific Reports2045-23222025-04-0115112010.1038/s41598-025-96272-4Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiencyMirza Baber Baig0Taoshen Li1Muhammad Zain Yousaf2Mohit Bajaj3Arvind R. Singh4Milkias Berhanu Tuka5School of Electrical Engineering, Guangxi UniversitySchool of Computer and Electronic Information, Guangxi UniversitySchool of Computer Science and Technology, Zhejiang Normal UniversityDepartment of Electrical Engineering, Graphic Era (Deemed to Be University)Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal UniversityDepartment of Electrical and Computer Engineering, College of Engineering, Sustainable Energy Center of Excellency, Addis Ababa Science and Technology UniversityAbstract This research introduces a novel approach to enhance energy efficiency in Mobile-Edge Computing (MEC) systems by integrating Non-Orthogonal Multiple Access (NOMA) with energy harvesting in a full-duplex (FD) environment. The primary objective is to optimize edge computing performance while minimizing energy consumption. A comprehensive resource allocation strategy is proposed, considering CPU frequency, power control for both uplink and downlink, time scheduling, and data offloading. Mobile users can offload computationally demanding tasks to MEC servers via NOMA, promoting efficient data exchange. Full-duplex base stations simultaneously manage task offloading and energy transmission, improving resource utilization. A Block Coordinate Descent (BCD)-based algorithm addresses the non-convex optimization challenge, offering an optimal solution. Simulation results demonstrate that the NOMA-assisted FD-MEC system significantly outperforms traditional Orthogonal Multiple Access and Half-Duplex approaches, leading to improved energy efficiency and reduced energy consumption. This study highlights the potential of integrating NOMA, energy harvesting, and full-duplex technologies to create more energy-efficient MEC systems.https://doi.org/10.1038/s41598-025-96272-4IoTWireless communicationNon-orthogonal multiple accessMobile-edge compute |
| spellingShingle | Mirza Baber Baig Taoshen Li Muhammad Zain Yousaf Mohit Bajaj Arvind R. Singh Milkias Berhanu Tuka Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency Scientific Reports IoT Wireless communication Non-orthogonal multiple access Mobile-edge compute |
| title | Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| title_full | Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| title_fullStr | Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| title_full_unstemmed | Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| title_short | Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| title_sort | synergizing noma and energy harvesting in full duplex mobile edge computing for optimized energy efficiency |
| topic | IoT Wireless communication Non-orthogonal multiple access Mobile-edge compute |
| url | https://doi.org/10.1038/s41598-025-96272-4 |
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