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Performance Analysis of Task Offloading in Double-Edge Satellite-Terrestrial Networks

  • Peng WangEmail author
  • Xing Zhang
  • Jiaxin Zhang
  • Zhi Wang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)

Abstract

With the rapid development of wireless networks, the growing number of mobile applications results in massive computation task to be processed. Multi-access edge computing (MEC) can efficiently minimize computational latency, reduce response time, and improve quality of service (QoS) by offloading tasks in the access network. Although lots of MEC task offloading schemes have been proposed in terrestrial networks, the integrated satellite-terrestrial communication, as an emerging trend for the next generation communication, has not taken MEC offloading into consideration. In this paper, we proposed a cooperative offloading scheme in a double-edge satellite-terrestrial (DESTN) network. Performance of offloading efficiency and energy consumption are derived analytically. Simulations show that the proposed offloading scheme in the double-edge satellite-terrestrial outperforms the traditional terrestrial-only offloading scheme by approximately 18.7%. Our research provides an insight for following studies in task offloading of double-edge satellite-terrestrial networks.

Keywords

Satellite-terrestrial network Offloading scheme Edge computing 

Notes

Acknowledgement

This work is supported by the Beijing Municipal Science and Technology Commission Research under Project Z171100005217001 and by “the Fundamental Research Funds for the Central Universities” 500418765.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Wireless Signal Processing and Networks Lab (WSPN), Key Laboratory of Universal Wireless CommunicationBeijing University of Posts and Telecommunications (BUPT)BeijingChina

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