Active Reconfigurable Intelligent Surface for Mobile Edge Computing

TL;DR

This paper explores an active RIS-aided mobile edge computing system, demonstrating significant latency reduction and performance gains over passive RIS through joint optimization techniques.

Contribution

It introduces an active RIS with amplifiers for MEC, proposing a joint design to minimize latency, and shows substantial performance improvements over passive RIS.

Findings

Active RIS significantly reduces computational latency.

Joint optimization improves system performance.

Active RIS outperforms passive RIS under same power constraints.

Abstract

This paper 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.