干扰环境下无人机辅助SWIPT:联合功率和轨迹优化

Fei Song, Qiming Sun, Xiaojing Chu, Xiao Zhang
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摘要

同时无线信息与电力传输(SWIPT)可以同步提供电力和信息,有助于解决物联网设备电池容量有限、充电不便的问题。本文研究了一种干扰环境下无人机辅助的SWIPT系统,其中无人机将能量传递给节点,节点从无人机收集能量。为了使所有iotd的最小吞吐量最大化,我们共同优化iotd在固定时间段内的发射功率和无人机轨迹,同时保证每个节点的能量需求最低,避免干扰。然而,我们提出的问题是np困难的,现有方法难以有效解决。为了解决这个棘手的问题,我们开发了一种基于连续凸近似(SCA)方法的迭代算法。仿真结果表明,我们的联合优化可以大大提高最小吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV-Assisted SWIPT in Jamming Environment: Joint Power and Trajectory Optimization
Simultaneous wireless information and power transfer (SWIPT) can provide power and information synchronously, which assists to solve the problem of the limited battery capacity and inconvenient charging of Internet of Things (IoT) devices. In this paper, we investigate a SWIPT system assisted by UAV in jamming environment, where the UAV can transfer power to nodes and nodes can collect energy from the UAV. In order to maximize the minimum throughput among all IoTDs, we jointly optimize the transmit power of IoTDs and the trajectory of UAV during a fix period, while ensuring the lowest energy requirement of each node and avoiding jamming. However, the problem we proposed is NP-hard and difficult to be settled efficiently by existing methods. To address the intractable problem, we develop an iterative algorithm based on the successive convex approximation (SCA) approach. Simulation results indicate that our joint optimization can improve the minimum throughput greatly.
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