Delay Optimization for RIS-Assisted SWIPT-MEC Joint Uplink and Downlink System

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This paper studies a joint uplink and downlink mobile edge computing (MEC) system assisted by reconfigurable intelligent surfaces (RIS) and simultaneous wireless information and power transfer (SWIPT), aiming to minimize delay by jointly optimizing the offloading transmit power, the local computing tasks, the power splitting (PS) ratio, and the uplink and downlink phase shift matrices of RIS. To solve this problem, an alternating optimization (AO) algorithm is proposed, which decomposes the problem into two subproblems and solves them using the successive convex approximation (SCA) method. Simulation results validate the effectiveness of the proposed algorithm.