A Novel Geometry-Based Stochastic Channel Model in Integrated Sensing and Communication Scenarios

被引：3

作者：

Jin, Yunwei ^{[1
]}

He, Ruisi ^{[1
]}

Ai, Bo ^{[1
]}

Wu, Tong ^{[2
]}

Zhang, Haoxiang ^{[3
]}

Liu, Bincheng ^{[4
]}

Li, Yujian ^{[5
]}

Li, Jing ^{[5
]}

机构：

[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

[2] Natl Inst Metrol, Ctr Adv Metering Infrastruct, Beijing 100013, Peoples R China

[3] China Acad Ind Internet, Minist Ind & Informat Technol, Beijing 100013, Peoples R China

[4] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China

[5] Beijing Jiaotong Univ, Inst Lightwave Technol, Key Lab All Opt Network & Adv Telecommun Network E, Beijing 100044, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Sensors; Communication channels; Antenna arrays; Channel models; Correlation; Receiving antennas; Probability density function; Geometry-based stochastic channel model; integrated sensing and communication; channel correlation; statistical properties; RADAR;

D O I：

10.1109/LWC.2024.3401482

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the sixth-generation wireless communication, integrated sensing and communication (ISAC) stands out as a key emerging technology. This letter proposes a novel geometry-based stochastic multiple-input multiple-output channel model for ISAC scenarios. We differentiate between communication channel and sensing channel, and investigate impacts of effective scatterers distributions within these channels. We compare and analyze differences between sensing and communication channels based on the derived space-time-frequency correlation functions. Simulation results show that communication and sensing channels exhibit distinct characteristics, and scattering environments have significant impacts on ISAC channel characteristics.

引用

页码：2018 / 2022

页数：5

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