UGV后向散射通信中的联合通信和运动能量最小化
Joint Communication and Motion Energy Minimization in UGV Backscatter Communication
摘要：
虽然反向散射通信是降低物联网设备功耗的一种有前途的解决方案，但反向散射通信的传输范围很短。为此，这项工作将无人驾驶地面车辆（UGV）的后向散射系统。通过这种方案，UGV可以通过接近各种物联网设备来促进通信。然而，移动也会消耗能量，一个基本的问题是：在移动和通信上花费能量之间的正确平衡是什么？为了回答这个问题，本文提出了一个联合图移动和反向散射通信模型。该模型将UGV的总能量最小化问题转化为一个混合整数非线性规划问题。此外，一个有效的算法，实现了局部最优解的推导，它会导致自动权衡之间的能源消耗移动与通信。数值结果验证了该算法的性能。
英文摘要：
While backscatter communication emerges as a promising solution to reduce power consumption at IoT devices, the transmission range of backscatter communication is short. To this end, this work integrates unmanned ground vehicles (UGVs) into the backscatter system. With such a scheme, the UGV could facilitate the communication by approaching various IoT devices. However, moving also costs energy consumption and a fundamental question is: what is the right balance between spending energy on moving versus on communication? To answer this question, this paper proposes a joint graph mobility and backscatter communication model. With the proposed model, the total energy minimization at UGV is formulated as a mixed integer nonlinear programming (MINLP) problem. Furthermore, an efficient algorithm that achieves a local optimal solution is derived, and it leads to automatic trade-off between spending energy on moving versus on communication. Numerical results are provided to validate the performance of the proposed algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
