JOURNAL ARTICLE

Latency-Aware Offloading for Mobile Edge Computing Networks

Wei FengHao LiuYingbiao YaoDiqiu CaoMingxiong Zhao

Year: 2021 Journal:   IEEE Communications Letters Vol: 25 (8)Pages: 2673-2677   Publisher: IEEE Communications Society

Abstract

To minimize the average latency of users to complete tasks, this letter jointly optimizes offloading decision, computation and bandwidth resource allocation for Mobile Edge Computing (MEC) networks via partial offloading. Since the considered problem is strongly non-convex with coupled variables, we decompose the original problem into two subproblems: (1) offloading decision; (2) communication bandwidth and computation resources allocation, and further employ Block Coordinate Descent (BCD) method to tackle them sequentially with linear computation complexity. Simulation results demonstrate that the proposed algorithm can achieve better performance on the average latency, and converge speedily.

Keywords:
Computer science Computation offloading Mobile edge computing Latency (audio) Computation Coordinate descent Computational complexity theory Edge computing Computer network Bandwidth allocation Distributed computing Bandwidth (computing) Resource allocation Mobile telephony Enhanced Data Rates for GSM Evolution Server Algorithm Mobile radio Telecommunications

Metrics

29
Cited By
3.31
FWCI (Field Weighted Citation Impact)
20
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Age of Information Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.