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Reconfigurable intelligent surfaces-enabled edge computing: A location-aware task offloading framework
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Authors: Md Sahabul Hossain, Nafis Irtija, Maria Diamanti, Fisayo Sangoleye, Eirini Eleni Tsiropoulou, Symeon Papavassiliou
Status: Final
Date of publication: 9 December 2022
Published in: ITU Journal on Future and Evolving Technologies, Volume 3 (2022), Issue 3, Pages 830-843
Article DOI : https://doi.org/10.52953/FLTJ9889
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Abstract:
In this paper, an energy efficient task offloading mechanism in a Multiaccess Edge Computing (MEC) environment is introduced, based on the principles of contract theory. The technology of Reconfigurable Intelligent Surfaces (RISs) is adopted and serves as the enabler for energy efficient task offloading, from the perspective of location-awareness and improved communication environment. Initially a novel positioning, navigation, and timing solution is designed, based on the RIS technology and an artificial intelligent method that selects a set of RISs to perform the multilateration technique and determine the Internet of Things (IoT) nodes' positions in an efficient and accurate manner is introduced. Being aware of the nodes' positions, a maximization problem of the nodes' sum received signal strength at the MEC server where the nodes offload their computing tasks is formulated and solved, determining each RIS element's optimal phase shifts. Capitalizing on these enhancements, a contract-theoretic task offloading mechanism is devised enabling the MEC server to incentivize the IoT nodes to offload their tasks to it for further processing in an energy efficient manner, while accounting for the improved nodes' communications and computing characteristics. The performance evaluation of the proposed framework is obtained via modeling and simulation under different operation scenarios. |
Keywords: Edge computing, energy efficiency, positioning, navigation, and timing solution, reconfigurable intelligent surfaces, task offloading
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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