有限资源占用下基于OFDM的ISAC系统优化波形设计
Optimized Waveform Design for OFDM-based ISAC Systems Under Limited Resource Occupancy
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中文总结 AI 辅助
本文针对有限资源占用下基于OFDM的ISAC系统感知性能受限问题，提出一种基于Schatten p准范数近似矩阵补全的插值技术优化波形设计，有效抑制旁瓣并提升感知性能。
中文摘要 AI 辅助
第六代（6G）无线网络引入了通信与感知一体化（ISAC），这是一种通信与感知功能紧密相连的技术，在时间、频率、空间和能量上共享资源。尽管正交频分复用（OFDM）波形在通信中很受欢迎，且有利于通信，但在ISAC网络中其感知性能存在局限。本文通过在时间、频率和能量上进行最优资源分配，深入研究OFDM波形设计，在保证通信质量的同时最大化感知性能。在准常态运行期间，基站（BS）并不利用所有可用时频资源，导致OFDM波形模糊函数中出现高旁瓣，并降低感知精度。为解决这些问题，本文提出了一种新颖的插值技术，通过Schatten p准范数近似进行矩阵补全，它比传统核范数需要更少的样本即可实现有效的矩阵补全和插值。该方法有效抑制了旁瓣，提升了感知性能。数值仿真证实，所提方法优于标准兼容资源调度和插值等最先进框架，尤其在资源占用有限的场景中表现突出。
英文摘要
The sixth generation (6G) of wireless networks introduces integrated sensing and communication (ISAC), a technology in which communication and sensing functionalities are inextricably linked, sharing resources across time, frequency, space, and energy. Despite its popularity in communication, the orthogonal frequency division multiplexing (OFDM) waveform, while advantageous for communication, has limitations in sensing performance within an ISAC network. This paper delves into OFDM waveform design through optimal resource allocation over time, frequency, and energy, maximizing sensing performance while preserving communication quality. During quasi-normal operation, the Base Station (BS) does not utilize all available time-frequency resources, resulting in high sidelobes in the OFDM waveform's ambiguity function, as well as decreased sensing accuracy. To address these latter issues, the paper proposes a novel interpolation technique using matrix completion through the Schatten p quasi-normal approximation, which requires fewer samples than the traditional nuclear norm for effective matrix completion and interpolation. This approach effectively suppresses the sidelobes, enhancing the sensing performance. Numerical simulations confirm that the proposed method outperforms state-of-the-art frameworks, such as standard complaint resource scheduling and interpolation, particularly in scenarios with limited resource occupancy.
