面向6G无人机辅助反向散射网络的共生流体天线系统策略
Symbiotic FAS Strategies for 6G UAVs Assisted Backscatter Networks
浏览论文内容
中文总结 AI 辅助
该研究针对6G无人机辅助反向散射网络，提出三种共生FAS策略，优化无人机部署与端口选择，降低发射功率，验证了策略的性能优势与低时间开销特性。
中文摘要 AI 辅助
本文研究一种基于流体天线系统（FAS）的共生无线电（SR）网络，该网络配备无人机（UAV）搭载的FAS，通过无线功率传输（WPT）信号与远程簇头及环境标签通信。为评估系统可靠性，推导了复合中断概率和反向散射（BcS）中断概率的上界（UB）与下界（LB），构建了共存中断概率（COP），并开展渐近分析以明确刻画系统的空间分集与编码增益。本文提出三种新型共生策略：最大反向散射选择（MBS）、联合均衡选择（JBS）和阈值感知优先级选择（TAPS），并将其与传统的最大复合增益选择（MCGS）及随机选择方法进行对比。在联合优化框架下，对无人机的宏观二维空间部署与微观实现层面的端口选择进行了建模。由于联合中断帕累托前沿具有高度非凸性，计算成本高昂的ε-约束法被用于确定最优拐点。而新型共生TAPS策略以线性O(MN)复杂度在单步中展现出与最优方法相当的性能。此外，基于Jakes衰落模型的渐近闭式移动性分析证明，共生FAS跟踪协议消耗的信道相干时间不足10%。仿真结果与COP热图验证了在理想无人机坐标下的最优共存性能，所需发射功率降低了60%。
英文摘要
This paper investigates a fluid antenna system (FAS) enabled symbiotic radio (SR) network featuring a UAV mounted FAS communicating through a wireless power transfer (WPT) signal with a remote cluster head and an ambient tag. To evaluate system reliability, we derive the upper (UB) and lower (LB) bounds for both the composite and backscatter (BcS) outage probabilities, formulate the coexistence outage probability (COP), and present an asymptotic analysis that explicitly characterizes the system's spatial diversity and coding gains. We propose three novel symbiotic strategies; maximum backscatter selection (MBS), joint balanced selection (JBS) and threshold aware priority selection (TAPS) and compare them with the conventional maximum composite gain selection (MCGS) and random selection methods. Under a joint optimization framework, the macroscopic UAV 2D spatial placement and microscopic realization - level port selection were formulated. Since the joint outage Pareto frontier is highly non-convex, the computationally expensive epsilon-constraint method identified the optimal knee-point. While the symbiotic novel TAPS strategy demonstrated identical performance in a single step with linear O(MN) complexity. Moreover, an asymptotic closed form mobility analysis under Jakes' fading model proves that the symbiotic FAS tracking protocol consumes under 10% of the channel coherence time. Simulation results and COP heat maps validate the optimal coexistence performance at the ideal UAV coordinates with 60% reduction in the required transmit power.
