会议论文

Li, Linfeng

英文

IEEE International Conference on Communications

1550-3607

2019

2019-May

IEEE International Conference on Communications (IEEE ICC)

IEEE International Conference on Communications

MAY 20-24, 2019

Shanghai, PEOPLES R CHINA

[Li, Linfeng;Kuang, Zhufang] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha, Hunan, Peoples R China.^[Liu, Anfeng] Cent South Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China.

IEEE, China Mobile, Huawei, ZTE, Qualcomm, Oppo, Natl Instruments

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-8088-9

10.1109/ICC.2019.8761160

ACKNOWLEDGMENT This work was supported in part by the National Natural Science Foundation of China under Grants Nos. 61309027, 61702562 and 61702561, the Hunan Provincial Natural Science Foundation of China under Grants No.2018JJ3888, the Open Research Project of Key Laboratory of Intelligent Information Perception and Processing Technology(Hunan Province) under Grant No.2017KF01, the Project of Hunan Internet of Things Society No.2018-2.

本校为第一且通讯机构

Mobile edge computing (MEC) is a promising technique to enhance the computation capacity at the edge of mobile networks. The joint problem of partial offloading decision, offloading scheduling and resource allocation for MEC systems is a challenge issue. In this paper, we investigate the problem of partial offloading scheduling and resource allocation for mobile edge computing systems with multiple independent tasks. Our goal is to minimize the weighted sum of the execution delay and energy consumption while guaranteeing the transmission power ...