학술논문

On the Study of Success Serving Probability for Integrated Sensing and Communication (ISAC) Based on Stochastic Geometry
Document Type
Conference
Source
ICC 2024 - IEEE International Conference on Communications Communications, ICC 2024 - IEEE International Conference on. :5098-5103 Jun, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Geometry
Measurement
Monte Carlo methods
Wireless networks
Simulation
Stochastic processes
Integrated sensing and communication
integrated sensing and communication (ISAC)
stochastic geometry
success serving probability
Language
ISSN
1938-1883
Abstract
Integrated sensing and communication (ISAC) has been proved as a promising technique to further improve the performance for both the communication and the sensing tasks in wireless networks. However, due to the complicated and dynamic interference circumstances, the performance of ISAC cannot be guaranteed. To provide some insights for keeping a sophisticated balance between communication and sensing with considering co-channel interference, the theoretical performance of ISAC is studied in this paper. First, an analytical system model is provided based on stochastic geometry. Second, the success serving probability (SSP) is defined for both the communication and the sensing tasks based on mutual information, which provided a unified analysis framework for ISAC. The tractable expressions of SSP are also derived. Finally, the simulation results are shown to verify the analytical results of SSP, which can provide some insights for the tradeoff between sensing and communication of ISAC.