Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 68, Issue 4, Pages 3792-3804Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2019.2902177
Keywords
UAV; multicluster FANET; interference-aware online spectrum access; online distributed algorithm; potential game
Categories
Funding
- National Natural Science Foundation of China [61771488, 61631020]
- Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province [BK20160034]
- Natural Science Foundation of Jiangsu Province [BK20180424]
- State Key Laboratory of Air Traffic Management System and Technology [SKLATM201808]
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The deployment of large-scale UAV clusters for cluster advantages will lead to high competition and excessive congestion of spectrum resources, which results in mutual interference. This paper investigates the interference-aware online spectrum access problem for multicluster Flying Ad-Hoc Network (FANET) under different network topologies, i.e., the locations of UAV clusters are varying. First, the problem is formulated as a data-assisted multistage channel access game with the goal of mitigating interference of all UAV clusters and decreasing channel switching cost during each slot. As we prove that the game is an exact potential game that guarantees at least one pure-strategy Nash equilibrium and interference-aware online channel preserving based concurrent best response (IOCPCBR) algorithm, an online distributed algorithm is proposed to achieve the desirable solution. Finally, the simulation results demonstrate the validity and effectiveness of the multistage channel access game as well as IOCPCBR algorithm.
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