Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks With NOMA

Reconfigurable intelligent surface (RIS) has emerged as a promising technology for achieving high spectrum and energy efficiency in future wireless communication networks. In this paper, we investigate an RIS-aided single-cell multi-user mobile edge computing (MEC) system where RIS is deployed to support the between base station (BS) equipped with MEC servers multiple single-antenna users. To utilize scarce frequency resource efficiently, assume that users communicate BS based on non-orthogonal access (NOMA) protocol. Each user computation task which can be computed locally or partially/fully offloaded BS. We aim minimize sum consumption of all by jointly optimizing passive phase shifters, size transmission data, rate, power control, time decoding order. Since resulting problem non-convex, use block coordinate descent method alternately optimize two separated subproblems. More specifically, dual tackle subproblem given shift obtain closed-form solution; then penalty solve another control. Moreover, order demonstrate effectiveness our proposed algorithm, propose three benchmark schemes: time-division (TDMA)-MEC scheme, full local scheme offloading scheme. alternating 1-D search TDMA-based well. Numerical results increase achieve significant performance gains over schemes.