Joint Cooperative Computation and Interactive Communication for Relay-Assisted Mobile Edge Computing
Xihan Chen, Qingjiang Shi, Yunlong Cai, Minjian Zhao, and Mingjie Zhao

TL;DR
This paper proposes a hybrid relay protocol for relay-assisted mobile edge computing that balances delay and energy consumption, using a lightweight algorithm for efficient optimization.
Contribution
It introduces a novel hybrid relay forward protocol and an inexact block coordinate descent algorithm for efficient joint computation and communication optimization.
Findings
Faster convergence than existing algorithms
Effective balance between delay and energy consumption
Good overall performance in simulations
Abstract
To realize cooperative computation and communication in a relay mobile edge computing system, we develop a hybrid relay forward protocol, where we seek to balance the execution delay and network energy consumption. The problem is formulated as a nondifferentible optimization problem which is nonconvex with highly coupled constraints. By exploiting the problem structure, we propose a lightweight algorithm based on inexact block coordinate descent method. Our results show that the proposed algorithm exhibits much faster convergence as compared with the popular concave-convex procedure based algorithm, while achieving good performance.
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · IoT and Edge/Fog Computing · Stochastic Gradient Optimization Techniques
