Performance Analysis of Cooperative Integrated Sensing and Communications for 6G Networks
Dongsheng Sui, Cunhua Pan, Hong Ren, Jiahua Wan, Liuchang Zhuo, Jing Jin, Qixing Wang, Jiangzhou Wang

TL;DR
This paper introduces a stochastic geometry framework to analyze the performance of cooperative ISAC networks in 6G, providing insights into how network parameters influence communication and sensing metrics.
Contribution
It presents a novel analytical framework for modeling cooperative ISAC networks and derives explicit expressions for key performance metrics.
Findings
Increasing cooperative base stations improves both communication and sensing performance.
Deployment density has limited impact on coverage but boosts radar information rate.
Adding transmit antennas helps when the total number is small, but gains diminish with more antennas.
Abstract
In this work, we aim to effectively characterize the performance of cooperative integrated sensing and communication (ISAC) networks and to reveal how performance metrics relate to network parameters. To this end, we introduce a generalized stochastic geometry framework to model the cooperative ISAC networks, which approximates the spatial randomness of the network deployment. Based on this framework, we derive analytical expressions for key performance metrics in both communication and sensing domains, with a particular focus on communication coverage probability and radar information rate. The analytical expressions derived explicitly highlight how performance metrics depend on network parameters, thereby offering valuable insights into the deployment and design of cooperative ISAC networks. In the end, we validate the theoretical performance analysis through Monte Carlo simulation…
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Taxonomy
TopicsRadar Systems and Signal Processing · Advanced Wireless Communication Technologies · Cooperative Communication and Network Coding
MethodsFocus · Balanced Selection
