Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks

In this paper, we investigate the spectrum sharing and resource allocation scheme for air-ground integrated wireless network which consists of multiple unmanned aerial vehicles (UAVs) and a high altitude platform (HAP). We consider the UAVs are required to provide services or execute certain missions in the area that HAP owns the spectrum and other resources. Correspondingly, we propose an energy efficient spectrum sharing and resource allocation scheme so that the UAVs can flexibly utilize the radio resources within the area without degrading the quality of service (QoS) of the HAP. In the proposed scheme, we jointly optimize pricing of spectrum and transmit power to maximize the utility of both the HAP and UAVs in the considered system in an energy efficient manner. A game theoretic approach is then presented to find the spectrum sharing and resource allocation strategies for both HAP and UAVs and the problem has been addressed via convex optimization. Our extensive simulations demonstrate marked improvements in system utility, spectrum and energy efficiency, and also highlight the effectiveness of the proposed scheme.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2025-01-09
DOI
https://doi.org/10.1109/tnsm.2025.3527651
Citations
2
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
9.99

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article

Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks

Jingyuan Liu, Xu Zhao, Ying‐Chang Liang, Zheng Chang et al.
2 citations
IEEE Transactions on Network and Service Management
UAV Applications and Optimization
9.99
article

Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks

Jingyuan Liu, Xu Zhao, Ying‐Chang Liang, Zheng Chang, Tao Huang, Wei Yao
article en
2 citations

Abstract

In this paper, we investigate the spectrum sharing and resource allocation scheme for air-ground integrated wireless network which consists of multiple unmanned aerial vehicles (UAVs) and a high altitude platform (HAP). We consider the UAVs are required to provide services or execute certain missions in the area that HAP owns the spectrum and other resources. Correspondingly, we propose an energy efficient spectrum sharing and resource allocation scheme so that the UAVs can flexibly utilize the radio resources within the area without degrading the quality of service (QoS) of the HAP. In the proposed scheme, we jointly optimize pricing of spectrum and transmit power to maximize the utility of both the HAP and UAVs in the considered system in an energy efficient manner. A game theoretic approach is then presented to find the spectrum sharing and resource allocation strategies for both HAP and UAVs and the problem has been addressed via convex optimization. Our extensive simulations demonstrate marked improvements in system utility, spectrum and energy efficiency, and also highlight the effectiveness of the proposed scheme.

IEEE Transactions on Network and Service ManagementVol. 22(4)
University of Electronic Science and Technology of China (CN), China Telecom (China) (CN), China Telecom (CN)
National Science Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 4%
UAV Applications and Optimization
9.99
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Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks — Jingyuan Liu, Xu Zhao, et al. · IEEE Transactions on Network and Service Management (2025) | TGRS Research Map | TGRS