|Department of Electrical Engineering at IIT Delhi
|2:00 pm - 3:00 pm
Acknowledgment: Joint work with Martin Haenggi (University of Notre Dame)
The current analysis of wireless networks whose transceivers are confined to streets is largely based on Poissonian models, such as Poisson line processes and Poisson line Cox processes. We demonstrate important scenarios where a model with a finite and deterministic number of streets, termed the binomial line process (BLP), is more accurate. We characterize the statistical properties of the BLP and the corresponding binomial line Cox process (BLCP) and apply them to analyze the performance of a network whose access points (APs) are deployed along the streets of a city. In order to obtain a fine-grained insight into the network performance, we derive the meta-distribution of the signal-to-interference and noise ratio (SINR). Accordingly, we investigate the mean local delay in transmission and the density of successful transmissions. These metrics, respectively, characterize the latency and coverage performance of the network and are key performance indicators of next-generation wireless systems.
Gourab Ghatak is an Assistant Professor at the Department of Electrical Engineering at IIT Delhi, where he is also affiliated with the Bharti School of Telecommunication Technology and Management. His research interests are stochastic geometry, MAC-PHY cross-layer issues in beyond 5G, and machine learning for wireless communications.