Interference Coordination With Multi-Dimensional Resource Optimization for Terahertz UAV Communications

Unmanned aerial vehicle (UAV) communication in the terahertz (THz) band is considered a significant direction for future communication systems development. This is due to the convenient deployment of UAVs combined with the ultra-high-speed data transmission and non-destructive detection offered by THz technology. The THz band, propagating in air with high molecular absorption loss, inherently limits the propagation distance. To mitigate this, propagation loss is typically compensated using directional communication and dense deployment strategies. However, these strategies increase the operational difficulty of UAVs, subsequently causing serious signal interference issues. To address this, we transform this problem into a multi-dimensional resource optimization problem and propose a Sequential Iterative (SI) optimization algorithm based on the principles of space division multiple access (SDMA) and frequency division multiple access (FDMA) to achieve efficient resource allocation so as to reduce interference and improve the overall system performance. Through numerical simulations, we verify the effectiveness of SI.