Optimal Channel Sharing assisted Multi-user Computation Offloading via NOMA

Abstract

Computation offloading via mobile edge computing (MEC) has been considered as one of the promising paradigms for enabling computation-intensive yet latency-sensitive services on resource-limited mobile terminals in future wireless systems. In this paper, we propose a channel sharing assisted multi-user computation offloading in MEC via non-orthogonal multiple access (NOMA), in which a group of edge-computing users (EUs) form a NOMA-group and further reuse the cellular user’s (CU’s) channel for computation-offloading transmission. Specifically, we formulate a joint optimization of the EUs’ offloaded workloads, NOMA-transmission duration, as well as the processing-rate allocations (for different EUs) at the edge computing server (ECS), with the objective of minimizing the overall latency for all EUs to complete their tasks. In spite of the non-convexity of the joint optimization, we identify the structural feature of the optimal offloading solution and propose a layered-algorithm for finding the solution efficiently. Numerical results are provided to validate the effectiveness of our proposed algorithm as well as the advantage of our multi-user offloading scheme via NOMA.