Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing

by   Xihan Chen, et al.

In this article, we consider the problem of relay assisted computation offloading (RACO), in which user A aims to share the results of computational tasks with another user B through wireless exchange over a relay platform equipped with mobile edge computing capabilities, referred to as a mobile edge relay server (MERS). To support the computation offloading, we propose a hybrid relaying (HR) approach employing two orthogonal frequency bands, where the amplify-and-forward scheme is used in one band to exchange computational results, while the decode-and-forward scheme is used in the other band to transfer the unprocessed tasks. The motivation behind the proposed HR scheme for RACO is to adapt the allocation of computing and communication resources both to dynamic user requirements and to diverse computational tasks. Within this framework, we seek to minimize the weighted sum of the execution delay and the energy consumption in the RACO system by jointly optimizing the computation offloading ratio, the bandwidth allocation, the processor speeds, as well as the transmit power levels of both user A and the MERS, under practical constraints on the available computing and communication resources. The resultant problem is formulated as a non-differentiable and nonconvex optimization program with highly coupled constraints. By adopting a series of transformations and introducing auxiliary variables, we first convert this problem into a more tractable yet equivalent form. We then develop an efficient iterative algorithm for its solution based on the concave-convex procedure. By exploiting the special structure of this problem, we also propose a simplified algorithm based on the inexact block coordinate descent method, with reduced computational complexity. Finally, we present numerical results that illustrate the advantages of the proposed algorithms over state-of-the-art benchmark schemes.


Energy-Efficient Task Offloading and Resource Allocation for Multiple Access Mobile Edge Computing

In this paper, the problem of joint radio and computation resource manag...

Joint Optimization of Cooperative Communication and Computation in Two-Way Relay MEC Systems

Considering two users exchange computational results through a two-way r...

Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks

Computation-efficient resource allocation strategies are of crucial impo...

Collaborative Computation Offloading in Wireless Powered Mobile-Edge Computing Systems

This paper studies a novel user cooperation model in a wireless powered ...

Energy-efficient Task Offloading for Relay Aided Mobile Edge Computing under Sequential Task Dependency

In this paper, we study a mobile edge computing (MEC) system in which th...

Computation Bits Maximization in a Backscatter Assisted Wirelessly Powered MEC Network

In this paper, we introduce a backscatter assisted wirelessly powered mo...

Delay Minimization in Sliced Multi-Cell Mobile Edge Computing (MEC) Systems

We consider the problem of jointly optimizing users' offloading decision...

Please sign up or login with your details

Forgot password? Click here to reset