面向ISAC系统的高能效波形设计：模糊域QoS视角
Energy-Efficient Waveform Design for ISAC Systems: An Ambiguity-Domain QoS Perspective
- Posts and Telecommunications Institute of Technology（邮电研究院）
- VNU University of Engineering and Technology（越南国立大学工程技术大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文针对ISAC系统，提出基于AF-SINR的FP-SCA算法设计波形，在满足通信、PAPR约束的同时最小化发射功率，实现高能效波形设计。
AI中文摘要：
集成感知与通信（ISAC）需要发射波形同时兼顾通信质量、可靠感知性能，且兼容实际射频前端。本文从一种名为模糊域感知信干噪比（AF-SINR）的新型指标出发，研究离散时间ISAC波形设计问题，以最小化发射功率。AF-SINR量化了期望模糊函数主瓣功率与局部时延-多普勒感兴趣区域内加权的总旁瓣泄露加噪声的比值，提供了一种本地化且感知QoS感知的度量。为实现ISAC运行，波形需满足单用户有效通信SINR约束，同时引入峰均功率比（PAPR）约束以促进实际实现。由于分数QoS表达式、四次模糊项及与波形相关的PAPR约束，所得能量最小化问题为非凸问题。为应对该挑战，本文提出分数规划逐次凸近似（FP-SCA）算法。仿真结果验证，所提方法满足所有要求，同时在局部时延-多普勒区域保持本地化旁瓣抑制。
英文摘要：
Integrated sensing and communication (ISAC) requires transmit waveforms that simultaneously preserve communication quality, provide reliable sensing, and remain compatible with practical radio-frequency front ends. This paper considers a discrete-time ISAC waveform design problem that minimizes transmit power from the perspective of a novel metric termed the ambiguity-domain sensing signal-to-interference-plus-noise ratio (AF-SINR). The proposed AF-SINR quantifies the ratio between the desired ambiguity-function mainlobe power and the weighted aggregate sidelobe leakage plus noise within a local delay-Doppler region of interest, thereby providing a localized and noise-aware sensing-QoS measure. To enable ISAC operation, the waveform is further required to satisfy per-user effective communication-SINR constraints, while a peak-to-average power ratio (PAPR) constraint is imposed to facilitate practical implementation. The resulting energy-minimization problem is nonconvex due to the fractional QoS expressions, quartic ambiguity terms, and waveform-dependent PAPR constraint. To address this challenge, we propose a fractional-programming successive-convex-approximation (FP-SCA) algorithm. Simulation results verify that the proposed method satisfies all requirements while preserving localized ambiguity suppression over the local delay-Doppler region.
