Li Haodong, Yin Zhengkai, Chen Changsheng
AVIC Aeronautics Computing Technology Research Institute, Xi'an 710069, China.
Shenzhen Research Institute of Northwestem Polytechnical University, Shenzhen 518057, China.
Sensors (Basel). 2024 Dec 26;25(1):84. doi: 10.3390/s25010084.
The rapid deployment and enhanced communication capabilities of unmanned aerial vehicles (UAVs) have enabled numerous real-time sensing applications. These scenarios often necessitate task offloading and execution under stringent transmission delay constraints, particularly for time-critical applications such as disaster rescue and environmental monitoring. This paper investigates the improvement of MEC-based task offloading services in energy-constrained UAV networks using backscatter communication (BackCom) with non-orthogonal multiple access (BAC-NOMA). The proposed BAC-NOMA protocol allows uplink UAVs to utilize downlink signals for backscattering tasks instead of transmitting through uplink NOMA. A resource allocation problem is formulated, aimed at minimizing offloading delays for uplink users. By converting the initially non-convex problem into a convex one, an iterative algorithm is developed to solve it. Simulation results demonstrate that the proposed protocol significantly reduces offloading delays relative to existing benchmarks.
无人机（UAV）的快速部署和增强的通信能力实现了众多实时传感应用。这些场景通常需要在严格的传输延迟约束下进行任务卸载和执行，特别是对于诸如灾难救援和环境监测等时间关键型应用。本文研究了在能量受限的无人机网络中，使用具有非正交多址接入（BAC-NOMA）的反向散射通信（BackCom）来改进基于移动边缘计算（MEC）的任务卸载服务。所提出的BAC-NOMA协议允许上行链路无人机利用下行链路信号进行反向散射任务，而不是通过上行链路NOMA进行传输。提出了一个资源分配问题，旨在最小化上行链路用户的卸载延迟。通过将最初的非凸问题转化为凸问题，开发了一种迭代算法来解决它。仿真结果表明，相对于现有基准，所提出的协议显著降低了卸载延迟。
