Queue-Aware Joint Optimization of Offloading and Transmission in Wireless Mobile Edge Computing Systems

被引:0
|
作者
Teng Y.-L. [1 ]
Liu W. [1 ]
Ouyang W.-P. [2 ]
Li K. [3 ]
Song M. [1 ]
机构
[1] School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing
[2] Huawei Technologies CO., LTD, Shenzhen
[3] Institute of Standard Metrology, China Academy of Railway Sciences, Beijing
关键词
Convex optimization; Lyapunov optimization; Mobile edge computing; Precoding;
D O I
10.13190/j.jbupt.2018-256
中图分类号
学科分类号
摘要
Considering task queue model on both user and mobile edge computing (MEC) server side, a dynamic computing task offloading problem in multi-user-multi-MEC-server system is proposed. To find the optimal offloading and corresponding uplink precoding strategy, a long-term average overhead containing delay and power consumption of the whole system optimization problem is formulated. The original problem is transformed into a single-stage cost target optimization problem based on Lyapunov optimization method and further converted into a typical DC programming problem by utilizing successive approximation and semi-definite relaxation. Simulation shows that the proposed scheme characterized by optimizing precoding design can meet the lower delay and power consumption requirements. © 2019, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
引用
收藏
页码:14 / 20
页数:6
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