论文标题
无线通信系统的吞吐量最大化，具有反向散射和缓存辅助无人机技术
Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
论文作者
论文摘要
由于其灵活性，机动性和敏捷性，无线系统中无人机（UAV）已被广泛采用。尽管如此，有限的机载电池极大地阻碍了无人机，从而从需要高功耗的通信任务中延长了服务时间。幸运的是，缓存和反向散射通信（BackCom）是针对节能通信系统的吸引力技术。这促使我们使用反向散射和缓存辅助无人机技术调查无线通信网络。我们假设将带有缓存存储器的无人机部署为飞行的反向散射设备（BD），术语为启用了UAV启用的BD（UB），以将源的信号传递到目的地。此外，无人机可以从源的RF信号中收集能量，然后将其用于反向散射信息到目的地。在这种情况下，我们旨在通过共同优化动态时间拆分（DTS）比，反向散射系数以及UB的轨迹，并具有与线性能量收集（LEH）和非线性能量收获（NLEH）模型相对应的CACHING能力，从而最大化总吞吐量。这些配方很麻烦地直接解决，因为它们是混合企业的非凸问题。要找到解决方案，我们将原始问题分解为三个子问题，而我们首先优化了给定反向散射系数和UB的轨迹的DTS比，然后对给定的DTS比率和UB的轨迹进行了反向散射系数优化，并且UB的轨迹最终优化了给定的DTS DTS和背景率和背面比率和背部速率和背部率和背面比率。最后，密集的数值结果表明，与基准方案相比，我们提出的计划获得了显着的吞吐量增益。
Unmanned aerial vehicle (UAV) has been widely adopted in wireless systems due to its flexibility, mobility, and agility. Nevertheless, a limited onboard battery greatly hinders UAV to prolong the serving time from communication tasks that need a high power consumption in active RF communications. Fortunately, caching and backscatter communication (BackCom) are appealing technology for energy efficient communication systems. This motivates us to investigate a wireless communication network with backscatter- and cache-assisted UAV technology. We assume a UAV with a cache memory is deployed as a flying backscatter device (BD), term the UAV-enabled BD (UB), to relay the source's signals to the destination. Besides, the UAV can harvest energy from the source's RF signals and then utilizes it for backscattering information to the destination. In this context, we aim to maximize the total throughput by jointly optimizing the dynamic time splitting (DTS) ratio, backscatter coefficient, and the UB's trajectory with caching capability at the UB corresponding to linear energy harvesting (LEH) and non-linear energy harvesting (NLEH) models. These formulations are troublesome to directly solve since they are mixed-integer non-convex problems. To find solutions, we decompose the original problem into three subproblems, whereas we first optimize the DTS ratio for a given backscatter coefficient and UB's trajectory, followed by the backscatter coefficient optimization for a given DTS ratio and UB's trajectory, and the UB's trajectory is finally optimized for a given DTS ratio and backscatter coefficient. Finally, the intensive numerical results demonstrate that our proposed schemes achieve significant throughput gain in comparison to the benchmark schemes.
