Academic Journal
Spectral Efficiency and Energy Efficiency Tradeoff in Multiuser RIS-Aided Mobile Edge Computing Networks
| العنوان: | Spectral Efficiency and Energy Efficiency Tradeoff in Multiuser RIS-Aided Mobile Edge Computing Networks |
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| المؤلفون: | Nazanin Kalantarinejad, Dariush Abbasi-Moghadam, Halim Yanikomeroglu |
| المصدر: | IEEE Open Journal of the Communications Society, Vol 5, Pp 7368-7379 (2024) |
| بيانات النشر: | IEEE, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Telecommunication LCC:Transportation and communications |
| مصطلحات موضوعية: | Reconfigurable intelligence surface, mobile edge computing, spectral efficiency, energy efficiency, penalty based approach, semidefinite programming, Telecommunication, TK5101-6720, Transportation and communications, HE1-9990 |
| الوصف: | Mobile edge computing (MEC) is emerging as a critical technology for supporting latency-sensitive and computation-intensive services-however, random wireless channel fading limits offloading rates, posing a significant challenge to MEC performance. In MEC systems, effective energy management and high-speed communication links between user devices and MEC servers are essential for supporting services that require low latency and high computation power. Reconfigurable intelligent surfaces (RIS) have been proposed as a promising solution to enhance the quality of communication links between users and MEC servers by dynamically reconfiguring the wireless propagation environment to overcome these challenges. We formulate a trade-off optimization problem to balance SE and EE in RIS-aided MEC systems, which is crucial due to limited system resources and the need for dynamic adaptation to varying network requirements-aimed at joint optimization of transmission power, phase-shift matrix, and MEC offloading and computation delays. Given the problem’s intractability, we develop an alternating optimization-based iterative algorithm incorporating quadratic transformation and successive convex approximation techniques to obtain sub-optimal solutions. Firstly, we address the minimum delay power allocation and task offloading by using quadratic transformations for fractional problems and closed-form solutions. Afterward, we optimize the phase shifts through semidefinite programming and a penalty-based approach. Simulation results validate the effectiveness of the proposed framework, demonstrating significant improvements in SE and EE compared to conventional systems without RIS or with static RIS configurations. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2644-125X |
| Relation: | https://ieeexplore.ieee.org/document/10752574/; https://doaj.org/toc/2644-125X |
| DOI: | 10.1109/OJCOMS.2024.3497756 |
| URL الوصول: | https://doaj.org/article/b37a9f17ab1a4416abbc3bf276817bb5 |
| رقم الانضمام: | edsdoj.b37a9f17ab1a4416abbc3bf276817bb5 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 2644125X |
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| DOI: | 10.1109/OJCOMS.2024.3497756 |