一种基于NOMA的无人机调度和资源优化方法
By constructing an energy consumption model and optimizing the device scheduling, time slot allocation, and power control of UAVs, the energy limitation problem of UAV-assisted IoT devices was solved, achieving efficient energy management of the UAV system and continuous power supply for the devices.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING UNIV OF POSTS & TELECOMM
- Filing Date
- 2022-12-27
- Publication Date
- 2026-07-17
AI Technical Summary
The energy limitations of drone-assisted IoT devices have become a bottleneck for the development of drone-assisted wireless networks. Traditional orthogonal multiple access methods cannot meet the high access requirements of IoT devices, and the energy consumption of drones is too high during data collection.
We construct a wireless energy transmission and data transmission energy consumption model for multiple UAVs and the ground IoT, optimize UAV equipment scheduling, time slot allocation and power control, and reduce the total air energy consumption during the multi-UAV data collection process by combining a wireless energy transmission network and optimizing UAV flight trajectories through non-orthogonal multiple access.
It effectively reduced the total in-flight energy consumption of drones, improved the system's energy efficiency and the equipment's continuous power supply capability, and met the data collection needs of IoT devices.
Smart Images
Figure CN116419254B_ABST