Active Reconfigurable Intelligent Surface for Mobile Edge Computing

• Published in: IEEE wireless communications letters Vol. 11; no. 12; p. 1
• Main Authors: Peng, Zhangjie, Weng, Ruisong, Zhang, Zhenkun, Pan, Cunhua, Wang, Jiangzhou
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: active RIS; Array signal processing; Computational modeling; Edge computing; Internet of things; latency minimization; Mobile computing; Mobile edge computing (MEC); Optimized production technology; Performance gain; reconfigurable intelligent surface (RIS); Reconfigurable intelligent surfaces; Resource management; Servers; Task analysis
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2022.3204656

This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent the “double path loss” attenuation. We propose a joint computing and communication design to minimize the maximum computational latency (MCL), subject to both the phase shift constraints and the edge computing capability constraints. Specifically, the original problem is decoupled into four subproblems, and then the block coordinate descent (BCD) method and the successive convex approximation (SCA) method are applied to alternately optimize the subproblems. The simulation results show that with the same power budget, the performance gain achieved by the active RIS is much larger than that by the passive RIS.