表題番号：2025C-716
日付：2026/03/22
研究課題UAV無線通信における配置高度および密度がスループットに及ぼす影響に関する研究
| 研究者所属（当時） | 資格 | 氏名 | |
|---|---|---|---|
| （代表者） | 理工学術院 基幹理工学部 | 教授 | 前原 文明 |
- 研究成果概要
- Our research investigated the system-level performance of wireless networks employing multiple unmanned aerial vehicles (UAVs), which are considered a promising technology for enabling flexible coverage expansion and rapid communication recovery in sixth-generation (6G) mobile communication systems. UAV-assisted wireless networks can dynamically adjust deployment parameters such as altitude, density, and coverage area, enabling adaptive network configuration according to user distribution and environmental conditions. However, the transmission performance of such networks is strongly influenced by inter-UAV interference and radio resource allocation strategies. Therefore, a comprehensive evaluation framework is required to clarify how deployment parameters affect overall network throughput and fairness.
In this study, we evaluated the throughput characteristics of multi-UAV wireless networks through computer simulations assuming realistic spatial user distributions. Ground users were modeled as clustered distributions, and user association was determined using the k-means++ clustering algorithm. Each UAV was deployed at the centroid of a user cluster, enabling efficient spatial resource utilization and flexible coverage formation. Based on this network model, the effects of UAV altitude and density on network-wide throughput were systematically analyzed by considering both coverage availability and inter-UAV interference.
Furthermore, soft frequency reuse (SFR) was introduced as a radio resource allocation method to mitigate inter-UAV interference while maintaining efficient spectrum utilization. The effectiveness of SFR was evaluated in comparison with conventional frequency reuse schemes (FRF = 1 and 3). Performance was assessed from the viewpoints of system capacity and fairness index (FI), enabling a comprehensive understanding of the trade-off between throughput improvement and user fairness.
Simulation results demonstrate that increasing UAV altitude improves coverage probability and enhances system throughput up to a certain level due to coverage expansion. However, excessive altitude increases inter-zone interference among UAV base stations, resulting in throughput degradation. The results also show that increasing the number of UAVs improves peak throughput even under a constant total transmit power constraint, owing to improved spatial reuse and reduced user density per UAV. In interference-limited scenarios, SFR effectively suppresses inter-UAV interference and improves system capacity while maintaining acceptable fairness characteristics.
Overall, the results clarify the combined effects of UAV altitude, density, and frequency allocation strategy on system-level throughput performance. These findings provide useful insights for interference-aware UAV deployment and resource allocation in future 6G wireless networks, contributing to the realization of resilient and flexible aerial communication infrastructures.