Resource Scheduling and Offloading Strategy Based on LEO Satellite Edge Computing

Kaixiang Wei, Qingqing Tang, Jing Guo, Ming Zeng, Zesong Fei, Qimei Cui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Citations (Scopus)

Abstract

The Satellite communication network is not limited by geographical factors and is an indispensable part of global interconnection. This paper analyzes a hybrid of cloud computing and edge computing LEO satellite network architecture, where the three-tier network is composed of ground users, LEO satellites, and remote cloud servers. Users can not only forward computing tasks to remote cloud servers through LEO satellites for processing, but also directly offload computing tasks to LEO satellites for processing. Based on this, we study the problem of user computing offloading in LEO satellite network and construct a joint optimization problem of offloading decision and computing resource allocation, which aims to reduce the user processing delay and energy consumption when the total computing resources of edge nodes are limited. This problem is a mixed-integer nonlinear problem, which is difficult to be solved in finite time. With the increase in the number of users, the complexity of the solution is very high. Therefore, we reconstruct the problem based on the linear reconstruction technique and relax the binary variables to transform the original non-convex problem into a convex problem. The simulation results show that the algorithm can effectively reduce user delay and energy consumption compared to the case when the tasks are processed locally.

Original languageEnglish
Title of host publication2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665413688
DOIs
Publication statusPublished - 2021
Event94th IEEE Vehicular Technology Conference, VTC 2021-Fall - Virtual, Online, United States
Duration: 27 Sept 202130 Sept 2021

Publication series

NameIEEE Vehicular Technology Conference
Volume2021-September
ISSN (Print)1550-2252

Conference

Conference94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Country/TerritoryUnited States
CityVirtual, Online
Period27/09/2130/09/21

Keywords

  • LEO satellite communication network
  • convex optimization
  • edge computing

Fingerprint

Dive into the research topics of 'Resource Scheduling and Offloading Strategy Based on LEO Satellite Edge Computing'. Together they form a unique fingerprint.

Cite this

Wei, K., Tang, Q., Guo, J., Zeng, M., Fei, Z., & Cui, Q. (2021). Resource Scheduling and Offloading Strategy Based on LEO Satellite Edge Computing. In 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings (IEEE Vehicular Technology Conference; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2021-Fall52928.2021.9625072