面向ISAC-FD使能的URLLC系统的新型脉冲雷达框架

中文摘要 AI 辅助

我们提出了一种用于支持全双工（FD）超可靠低延迟通信（URLLC）的集成感知与通信（ISAC）系统的新型脉冲雷达框架。受第六代（6G）URLLC服务对延迟和可靠性的严格要求启发，我们的框架将基于脉冲的雷达感知与URLLC用户的零星分组传输相结合，同时考虑FD系统中固有的残余自干扰（SI）。我们采用一种时间结构化的方法，其中雷达脉冲的静默间隔被机会性地用于通信。一个关键重点是最大限度地降低基站的总能耗，这对于可持续的雷达辅助无线网络至关重要。为此，我们联合优化感知脉冲宽度、波束成形向量和URLLC调度，同时确保通信和感知服务质量（QoS）约束。我们制定了一个非凸混合整数优化问题，联合解决感知和通信需求。通过Cramer-Rao界（CRB）量化的感知性能使用Schur补进行重新表述。有限块长度容量近似捕捉URLLC约束，而概率约束则使用累积分布函数建模。原始非凸问题通过交替优化算法分解为两个子问题。仿真结果揭示了感知时间、能耗和残余SI之间的重要权衡。我们提出的方法在明确考虑SI的情况下提高了系统性能，并展示了在降低能耗的同时改善URLLC可靠性。结果表明，适当设计感知持续时间和FD调度可产生一个灵活的ISAC框架，即使在强干扰下也能稳健运行。

英文摘要

We propose a novel pulse radar framework for integrated sensing and communication (ISAC) systems supporting full-duplex (FD) ultra-reliable low-latency communication (URLLC). Motivated by the stringent delay and reliability requirements of sixth-generation (6G) URLLC services, our framework integrates pulse-based radar sensing with sporadic packet transmissions for URLLC users while accounting for residual self-interference (SI) inherent in FD systems. We adopt a time-structured approach in which the silent intervals of the radar pulse are opportunistically exploited for communication. A key focus is minimizing the total energy consumption of the base station, which is critical for sustainable radar-assisted wireless networks. To this end, we jointly optimize the sensing pulse width, beamforming vectors, and URLLC scheduling while ensuring communication and sensing quality-of-service (QoS) constraints. We formulate a non-convex mixed-integer optimization problem addressing sensing and communication requirements jointly. Sensing performance, quantified via the Cramer-Rao bound (CRB), is reformulated using the Schur complement. Finite blocklength capacity approximations capture the URLLC constraint, while probabilistic constraints are modeled using cumulative distribution functions. The original non-convex problem is decomposed into two sub-problems via an alternating optimization algorithm. Simulation results reveal important trade-offs between sensing time, energy consumption, and residual SI. Our proposed method improves system performance while explicitly accounting for SI, and demonstrates improved URLLC reliability with reduced energy consumption. The results show that proper design of the sensing duration and FD scheduling yields a flexible ISAC framework capable of robust operation even under strong interference.

发表机构

• TU Berlin（柏林工业大学）
• Friedrich-Alexander-University Erlangen–Nurnberg（埃尔朗根-纽伦堡弗里德里希·亚历山大大学）

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