Graph-Genetic Enabled Spectrum Sharing for Terrestrial Radar-Communication Networks

In this paper, we consider the problem of spectrum for multiple radar-communication integrated devices in a complex wireless environment. In particular, we consider a scenario characterized by the dense deployment of wireless devices, coupled with limited number of available subcarriers and dynamic interference. Aiming at maximizing the number of normal working devices, we propose a novel graph-genetic decision making algorithm to intelligently share the spectrum resources among the devices in real-time. Regrading each device as a graph node, graph theory is applied at first to solve the problem of subcarrier allocation, then genetic algorithm is applied to further decided the power of each device. Simulation results show that compared to the greedy approach, the proposed algorithm increases the accommodated number of devices by \(18.1\%\) to \(34.2\%\) .