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Author:

Sun, E. (Sun, E..) | Li, M. (Li, M..) | He, R. (He, R..) | Zhang, H. (Zhang, H..) | Zhang, Y. (Zhang, Y..)

Indexed by:

Scopus

Abstract:

The combination of high altitude platform (HAP) technology and multi-access edge computing (MEC) technology extends the deployment area of MEC servers from the ground to the air, breaks the limitations of traditional terrestrial MEC networks and provides users with ubiquitous computation offloading services. This survey conducts a review on the researches of computation offloading in HAP-based MEC. First, the HAP-based MEC network was analyzed from four aspects: advantages of HAP computing nodes, network components, network structures, main challenges and their coping techniques. Second, from the perspectives of graph theory, game theory, machine learning, federated learning and other theories, the computation offloading algorithms based on HAP were analyzed horizontally and compared vertically. Finally, the current problems of computation offloading technology in HAP-based MEC were pointed out and the future research directions of this technology are prospected. © 2024 Beijing University of Technology. All rights reserved.

Keyword:

high altitude platform (HAP) game theory graph theory machine learning multi-access edge computing (MEC) computation offloading

Author Community:

  • [ 1 ] [Sun E.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Sun E.]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Li M.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Li M.]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [He R.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [He R.]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Zhang H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Zhang H.]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing, 100124, China
  • [ 9 ] [Zhang Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 10 ] [Zhang Y.]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2024

Issue: 3

Volume: 50

Page: 348-361

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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