Delay Minimization for Hybrid BAC-NOMA Offloading in MEC Networks

TL;DR

This paper proposes a hybrid BAC-NOMA protocol for MEC networks that reduces offloading delay by optimizing resource allocation, combining backscatter communication with uplink NOMA, and demonstrates superior performance through simulations.

Contribution

It introduces a novel hybrid BAC-NOMA protocol and an iterative algorithm for resource allocation to minimize offloading delay in MEC networks.

Findings

The proposed protocol outperforms benchmarks in reducing offloading delay.

The resource allocation problem is effectively transformed into a convex problem.

Simulation results validate the efficiency of the proposed method.

Abstract

This paper studies the offloading service improvement of multi-access edge computing (MEC) based on backscatter communication (BackCom) assisted non-orthogonal multiple access (BAC-NOMA). A hybrid BAC-NOMA protocol is proposed, where the uplink users backscatter their tasks by leveraging the downlink signal, and then the remaining data is transmitted through uplink NOMA. In particular, a resource allocation problem is formulated to minimize the offloading delay of uplink users. The non-convex problem is transformed into a convex problem, and an iterative algorithm is developed accordingly. Simulation results show that the proposed protocol outperforms the benchmark in terms of offloading delay.