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Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing by Cao, Xiaowen; Wang, Feng; Xu, Jie; Zhang, Rui; Cui, Shuguang is a scholarly article available to read on EtoBox.

What is Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing about?

This paper proposes a novel user cooperation approach in both computation and communication for mobile edge computing (MEC) systems to improve the energy efficiency for latency-constrained computation. We consider a basic three-node MEC system consisting of a user node, a helper node, and an access point (AP) node attached with an MEC server, in which the user has latency-constrained and computation-intensive tasks to be executed. We consider two different computation offloading models, namely the partial and binary offloading, respectively. Under this setup, we focus on a particular finite time block and develop an efficient four-slot transmission protocol to enable the joint computation and communication cooperation. Besides the local task computing over the whole block, the user can offload some computation tasks to the helper in the first slot, and the helper cooperatively computes these tasks in the remaining time; while in the second and third slots, the helper works as a cooperative relay to help the user offload some other tasks to the AP for remote execution in the fourth slot. For both cases with partial and binary offloading, we jointly optimize the computation and commu

Author

Cao, Xiaowen; Wang, Feng; Xu, Jie; Zhang, Rui; Cui, Shuguang

Published

2018

Language

EN