基于流体天线系统的RSMA集成感知通信一体化网络：随机几何分析与低复杂度资源分配
RSMA-Enabled ISAC Networks with Fluid Antenna Systems: Stochastic Geometry Analysis and Low-Complexity Resource Allocation
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中文总结 AI 辅助
该研究针对配备流体天线系统的RSMA集成感知通信一体化网络，通过随机几何分析推导性能表达式，提出低复杂度资源分配框架，实现通信与感知性能的优化并降低计算复杂度。
中文摘要 AI 辅助
本文研究了多小区RSMA集成感知通信一体化（ISAC）网络的下行链路性能，其中基站（BS）、通信用户和感知目标均根据独立泊松点过程（PPPs）空间分布。每个基站采用RSMA同时为多个用户服务，同时将公共流作为通信与感知双功能波形加以利用。用户配备流体天线系统（FAS），可选择最优天线端口以最大化接收信号质量。结合随机几何、顺序统计量和基于拉普拉斯变换的干扰分析，推导了遍历和速率的闭式解析表达式；此外，通过表征公共预编码器的统计特性，得到了平均雷达信干噪比（SINR）的可处理近似值。利用上述推导的解析表达式，提出了一种低复杂度的解析资源分配框架，可在满足感知服务质量约束的同时，联合优化RSMA功率分配、通信-感知波束权衡及调度用户数量。与传统迭代优化方法相比，所提解析设计大幅降低了计算复杂度，同时实现了几乎相同的通信性能。仿真结果验证了所推导解析表达式的准确性，且相较于传统传输方案，其在RSMA和速率与感知性能两方面均实现了显著提升。
英文摘要
In this paper, we investigate the downlink performance of multi-cell RSMA-enabled ISAC networks in which base stations (BSs), communication users, and sensing targets are spatially distributed according to independent Poisson point processes (PPPs). Each BS simultaneously serves multiple users using RSMA while exploiting the common stream as a dual-functional communication and sensing waveform. The users are equipped with FAS that selects the best antenna port to maximize the received signal quality. Closed-form analytical expressions are derived for the ergodic sum-rates by combining stochastic geometry, order statistics, and Laplace-transform-based interference analysis. Furthermore, a tractable approximation for the average radar SINR is developed by characterizing the statistical properties of the common precoder. Leveraging the derived analytical expressions, a low-complexity analytical resource allocation framework is proposed to jointly optimize the RSMA power allocation, the communication-sensing beam tradeoff, and the number of scheduled users while sat- isfying the sensing quality-of-service constraint. Compared with conventional iterative optimization approaches, the proposed analytical design significantly reduces computational complexity while achieving nearly identical communication performance. Simulation results verify the accuracy of the developed analytical expressions and demonstrate substantial improvements in both RSMA sum-rate and sensing performance over conventional transmission schemes.
