Resource Allocation Algorithm of Space-Air-Ground Integrated Network for Dense Scenarios

ZHANG Hong; LIAO Yuxin; WANG Ruyan; WU Dapeng; DU Huimin

doi:10.11999/JEIT231086

Volume 46 Issue 5

May 2024

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ZHANG Hong, LIAO Yuxin, WANG Ruyan, WU Dapeng, DU Huimin. Resource Allocation Algorithm of Space-Air-Ground Integrated Network for Dense Scenarios[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1968-1976. doi: 10.11999/JEIT231086

Citation:

ZHANG Hong, LIAO Yuxin, WANG Ruyan, WU Dapeng, DU Huimin. Resource Allocation Algorithm of Space-Air-Ground Integrated Network for Dense Scenarios[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1968-1976. doi: 10.11999/JEIT231086

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Resource Allocation Algorithm of Space-Air-Ground Integrated Network for Dense Scenarios

doi: 10.11999/JEIT231086

1.
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China, Chongqing 400065, China
3.
Chongqing Key Laboratory of Ubiquitous Sensing and Networking, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (62271096, U20A20157), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202000626), The University Innovation Research Group of Chongqing (CXQT20017), The Youth Innovation Group Support Program of ICE Discipline of CQUPT (SCIE-QN-2022-04), Chongqing Postdoctoral Science Special Foundation (2021XM3058), The Natural Science Foundation of Chongqing, China (CSTB2023NSCQ-LZX0134)

Received Date: 2023-10-08
Rev Recd Date: 2024-04-08

Available Online: 2024-05-01

Publish Date: 2024-05-30

Abstract

Abstract

Space-air-ground integrated network has the advantages of extensive coverage, high throughput, and strong elasticity. A resource allocation algorithm for dense scenarios is proposed to solve the problems of network congestion and deterioration of service quality caused by concurrent access of many users and network load imbalance. Firstly, the user utility function is constructed based on the user demand and the preferences of different types of user tasks. Then, load balancing is realized based on the matching game network selection algorithm and the power control algorithm combined with the dual ascending method, and the resource allocation scheme is optimized. Experimental results show that compared with the traditional strategy, the proposed strategy increases the overall user access rate by at least 35%, and improves the performance of delay and throughput by more than 50%. Load balancing is more effective in dense scenarios and network performance is improved.
- Space-Air-Ground Integrated Network (SAGIN),
- Resource allocation,
- Game theory,
- Dense scenarios

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References(19)

References

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