Joint Bandwidth and Spectrum Usage Zones Flexible Allocation for Coexisting Multiple UAV Networks: An Interference Graph Approach

Xiang Shao, Wei Wang, Bo Zhou, Guangliang Pan, Weiwei Jiang

Abstract: Spectrum management for the coexistence of multiple unmanned aerial vehicle (UAV) networks is a challenging issue, considering both space and frequency reuse. To address this issue, we propose a joint bandwidth and spectrum usage zone (SUZ) flexible allocation scheme, leveraging interference graph. We formulate a joint spectrum bandwidth allocation and SUZs adjustment problem to maximize the system utility, which is a binary nonlinear programming (BNLP) problem. Then we decompose it into two subproblems: the high-priority UAV networks subproblem and the low-priority UAV networks subproblem. The high-priority subproblem is solved using a graph coloring method based on the interference graph, whereas the low-priority subproblem is addressed through a sequential one-step block coordinate descent (SOBCD) approach by constructing a spectrum assignment hypergraph. Simulation results demonstrate that the total utility with the proposed scheme outperforms benchmark schemes, and there exists an optimal SUZ grid adjustment to maximize the total utility.

External IDs:dblp:journals/iotj/ShaoWZPJ25