Active Reconfigurable Intelligent Surface for Mobile Edge Computing

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.Index Terms-Mobile edge computing (MEC), latency minimization, Internet of things, reconfigurable intelligent surface (RIS), active RIS.

Latency Minimization for IRS-Aided NOMA MEC Systems With WPT-Enabled IoT Devices

“…W ITH the rapid development of communication technology, a large number of compute-intensive and delay-sensitive applications have emerged, such as virtual reality, autonomous driving, and digital twin [1]- [3]. Because of the restricted computing capabilities, it is challenging for these wireless devices (WDs) to fulfill the low latency and high reliability computing needs of the applications.…”