Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2024, Vol. 47 ›› Issue (1): 25-30.

Previous Articles     Next Articles

D2D-Assisted Task Offloading in Mobile Edge Computing-Enabled Satellite-Terrestrial Networks

TONG Minglei1,2, LI Song3, WANG Xiaoxiang1,2   

  • Received:2022-12-09 Revised:2023-01-29 Online:2024-02-26 Published:2024-02-26

Abstract: To solve the problem that the computing resources of ground equipment are not utilized effectively, the device-to-device ( D2D ) assisted task offloading in mobile edge computing-enabled satellite-terrestrial networks is studied. The utility maximization problem for all user equipment, service equipment, and the low earth orbit satellite is modeled and decomposed into two sub-problems, which are task offloading ratio optimization sub-problem and task offloading decision sub-problem. The analytical solution of the optimal task offloading ratio of D2D offloading problem and mobile edge computing offloading problem is obtained by the theoretical derivation, respectively. Besides, a matching game-based task offloading decision algorithm is designed and a joint optimization scheme of task offloading ratio and task offloading decision is proposed. The simulation results demonstrate that the proposed scheme has better performance than the reference schemes.

Key words: mobile edge computing, satellite-terrestrial networks, device-to-device, task offloading

CLC Number: