To extend the JCAS SIR meta distribution to incorporate realistic BS deployment, channel, and antenna models, several steps can be taken:
Realistic BS Deployment: Incorporating realistic BS deployment involves considering the actual locations of base stations in the network. This can be achieved by modeling the BS locations using a more sophisticated approach than a simple Poisson point process. Real-world factors such as urban layouts, building structures, and terrain variations can be taken into account to create a more accurate representation of BS deployment.
Channel Models: Including realistic channel models in the analysis is crucial for capturing the effects of propagation environments on communication and sensing performance. Models that consider path loss, shadowing, fading, and interference from surrounding objects can be integrated into the framework. This will provide a more comprehensive understanding of signal propagation in the network.
Antenna Models: Antenna characteristics play a significant role in determining the quality of communication and sensing links. By incorporating detailed antenna models that account for antenna gains, beamforming capabilities, and radiation patterns, the JCAS SIR meta distribution can reflect the impact of antenna configurations on network performance.
Integration of Real-World Data: Utilizing real-world data from field measurements or simulations can enhance the accuracy of the models. Calibration of the models based on empirical data can help validate the theoretical framework and ensure that the JCAS SIR meta distribution aligns with practical scenarios.
By integrating these elements into the analysis, the extended JCAS SIR meta distribution will offer a more realistic and comprehensive evaluation of the performance of joint communication and sensing networks in practical deployment settings.