Research

This work develops an analytical framework for downlink low earth orbit (LEO) satellite communications, leveraging tools from stochastic geometry. We propose a tractable approach to the analysis of such satellite communication systems accounting for the fact that satellites are located on circular orbits. We accurately characterize this geometric property of such LEO satellite constellations by developing a Cox point process model that jointly produces orbits and satellites on these orbits. Our work differs from existing studies that have assumed satellites' locations as completely random binomial point processes.

The line-of-sight (LOS) signals play a significant role in enabling various applications. For instance, in positioning systems, users or vehicles can estimate their relative distances and positions based on the time-of-arrivals (ToAs) and time- of-departures (ToDs) of LOS signals from anchors. This work presents a stochastic geometric framework modeling and analyzing spatially correlated blockage in a highway vehicular network.

This work analyzes an emerging architecture of cellular network utilizing both planar base stations uniformly distributed in the Euclidean plane and base stations (or RSUs) located on roads. An example of this architecture is that where, in addition to conventional planar cellular base stations and users, vehicles also play the role of both base stations and users. A Cox point process is used to model the location of base stations.

Disruptive changes are underway in the automotive industry as large-scale platforms based on vehicular fleets are deployed to deliver ride sharing and delivery services. This stuey examines a network architecture based on a mesh of IoT devices, roadside repositories and vehicular mobile gateways -- referred to as mesh+vehicular. We propose a system-level model to study its relative merits versus conventional infrastructure-based IoT architectures-- referred to as mesh+cellular.

This paper concerns the performance of vehicle-to-everything (V2X) communications. More precisely, we analyze the broadcast of safety-related V2X communications in cellular networks where base stations and vehicles are assumed to share the same spectrum and vehicles broadcast their safety messages to neighboring users.

This paper analyzes priority-based distributed ac- cess control in vehicular networks. Characterizing the spatial correlation between vehicles, users, and roads, this paper uses a Cox point process to model vehicles and users, respectively. Then, this paper proposes that each vehicle transmits if it has the highest priority among all of its neighbors.