A1 Journal article (refereed)
Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks (2025)

Huang, T., Liu, J., Chang, Z., Wei, Y., Zhao, X., & Liang, Y.-C. (2025). Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks. IEEE Transactions on Network and Service Management, Early online. https://doi.org/10.1109/TNSM.2025.3527651

JYU authors or editors

Publication details

All authors or editors: Huang, Tao; Liu, Jingyuan; Chang, Zheng; Wei, Yao; Zhao, Xu; Liang, Ying-Chang

Journal or series: IEEE Transactions on Network and Service Management

ISSN: 2373-7379

eISSN: 1932-4537

Publication year: 2025

Publication date: 09/01/2025

Volume: Early online

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TNSM.2025.3527651

Publication open access: Not open

Publication channel open access: 

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.

Keywords: unmanned aerial vehicles; Internet of things; wireless networks; energy efficiency; resources; games; game theory

Free keywords: spectrum sharing; unmanned aerial vehicle; resource allocation; game theory; resource management; autonomous aerial vehicles; interference; vehicle dynamics; Internet of Things; wireless networks; quality of service; radio spectrum management; games; game theory

Contributing organizations

Related projects

Ministry reporting: Yes

VIRTA submission year: 2025

Preliminary JUFO rating: 1