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arXiv 2408.11295eess.SP
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适用于3GPP标准的通信与双工探测联合的信道建模框架

Channel Modeling Framework for Both Communications and Bistatic Sensing Under 3GPP Standard

University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University(密歇根大学-上海交通大学联合学院,上海交通大学);Noika Bell Labs China

Chenhao Luo, Aimin Tang, Fei Gao, Jianguo Liu, Xudong Wang

AI总结:

本文提出适用于3GPP标准的双工ISAC信道建模框架,扩展现有框架并确保与通信信道模型兼容,通过增加传感关键特征和空间相干性考虑,验证了其有效性。

摘要:

集成感知与通信(ISAC)被认为是B5G/6G网络中的有前景技术。信道模型对于评估ISAC系统的通信和感知性能至关重要。大多数现有信道建模研究集中在单工ISAC信道。本文考虑双工ISAC的信道建模框架。所提出的信道建模框架扩展了当前3GPP信道建模框架并确保与通信信道模型的兼容性。为了支持双工感知功能,增加了几个关键特征用于感知。首先,生成并保留更多功率较弱的簇以表征潜在的感知目标。其次,目标模型可以是确定性或统计性的,基于不同的感知场景。此外,对于统计情况,采用不同的反射模型生成射线,考虑空间相干性。所提出的双工ISAC信道模型框架的有效性通过射线追踪模拟和实验研究验证。所提出的框架与3GPP通信信道模型的兼容性以及如何用于感知评估也得到了演示。

英文摘要:

Integrated sensing and communications (ISAC) is considered a promising technology in the B5G/6G networks. The channel model is essential for an ISAC system to evaluate the communication and sensing performance. Most existing channel modeling studies focus on the monostatic ISAC channel. In this paper, the channel modeling framework for bistatic ISAC is considered. The proposed channel modeling framework extends the current 3GPP channel modeling framework and ensures the compatibility with the communication channel model. To support the bistatic sensing function, several key features for sensing are added. First, more clusters with weaker power are generated and retained to characterize the potential sensing targets. Second, the target model can be either deterministic or statistical, based on different sensing scenarios. Furthermore, for the statistical case, different reflection models are employed in the generation of rays, taking into account spatial coherence. The effectiveness of the proposed bistatic ISAC channel model framework is validated by both ray tracing simulations and experiment studies. The compatibility with the 3GPP communication channel model and how to use this framework for sensing evaluation are also demonstrated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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