Channel (broadcasting)

Mathematical economics

Computer network

Mathematics

Nash equilibrium

Wireless

Strategy

Distributed computing

Mathematical optimization

Distributed algorithm

Channel allocation schemes

Game theory

Network topology

Potential game

Interference (communication)

Computer science

Wireless ad hoc network

Telecommunications

IEEE Transactions on Vehicular Technology

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.

Interference-Aware Online Distributed Channel Selection for Multicluster FANET: A Potential Game Approach