Green Task Offloading in Computing STAR-RIS-Aided Wireless Networks | IEEE Conference Publication | IEEE Xplore

Green Task Offloading in Computing STAR-RIS-Aided Wireless Networks

Publisher: IEEE

Abstract:

A new concept of center processing unit (CPU)-integrated simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is proposed, namely comp...View more

Abstract:

A new concept of center processing unit (CPU)-integrated simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is proposed, namely computing STAR-RIS. Computation-intensive and delay-sensitive tasks from mobile users can be partially processed at the computing STAR-RIS. We aim to minimize the energy consumption of users and the computing STAR-RIS, and formulate a joint task offloading and transmission resource allocation problem. The solution of this problem is affected by the offloading decision and the amplitude and phase-shift of the computing STAR-RIS. To solve the non-convex problem, we decompose it into two subproblems: 1) For the task offloading subproblem, the offloading decision is optimized utilizing the Karush-Kuhn- Tucker (KKT) conditions; and 2) For the transmission resource allocation subproblem, the transmission-reflection coefficient matrix are optimized via successive convex approximation (SCA). Simulation results show that our proposed algorithm can converge faster and have lower energy consumption than the conventional STAR-RIS.
Date of Conference: 21-24 April 2024
Date Added to IEEE Xplore: 03 July 2024
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Dubai, United Arab Emirates

References

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