Performance analysis of integrated sensing and communication network based on matern hard core point processes
LIU Jiahao
XU Shaoyi
Abstract：In Integrated Sensing and Communication(ISAC)networks,network topology design plays a deci-sive role in both communication and sensing performance.To provide general guidance for system design,Stochastic Geometry(SG)is employed to mathematically model and analyze network deployment and perfor-mance from a network-layer perspective.The spatial distribution of ISAC base stations is modeled using Ma-tern Hard Core Point Processes(MHCPP).A time-division multiplexing mechanism between communica-tion and sensing is considered.Taking a typical user as the object of study,the user is associated with the nearest base station.Performance metrics for communication and sensing are established,and lower bounds on the average interference power and average throughput experienced by the typical user and the associated base station are derived.The accuracy of the derived results is further verified through simulations.Simulation results demonstrate,compared with Poisson Point Processes(PPP),MHCPPs significantly reduce the aver-age interference power:by approximately 30%-43%in communication scenarios and 91%-93%in sensing scenarios.As the minimum inter-base-station distance increases,the average communication throughput in-creases,whereas the average sensing throughput first increases and then decreases.In practical scenarios,ISAC network parameters should be designed in accordance with specific system requirements.The research results can provide valuable references for system design and scalability analysis.
Keywords：Integrated Sensing and Communication(ISAC)Stochastic Geometry(SG)Matern Hard Core Point Processes(MHCPP)
Publication Date：2025-12-30
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：9( 174-182 )