Title:  Resource Allocation for Vehicular Communications

Committee: 

Dr. Li, Advisor    

Dr. Stuber, Chair

Dr. Ma

Abstract:

The objective of the proposed research is to develop efficient and effective resource allocation schemes to meet the diverse quality-of-service requirements of vehicular communications while taking into account the strong dynamics in vehicular environments due to high vehicle mobility. Specifically, we study the spectrum and power allocation problem in device-to-device-enabled vehicular networks. We develop low-complexity algorithms to maximize the capacity of vehicle-to-infrastructure (V2I) links while guaranteeing the reliability of each vehicle-to-vehicle (V2V) link, evaluated in terms of outage probabilities, using only slowly varying large-scale fading information or delayed rapidly varying small-scale fading information from periodic feedback. To further improve spectrum utilization, we investigate the case where each V2I link shares spectrum with multiple V2V links and exploit graph theoretic tools to propose a suite of algorithms to support flexible spectrum sharing in vehicular communications and address the performance-complexity tradeoffs. As part of the proposed work, we plan to analyze the statistical delay of V2V transmission and develop joint delay- and channel-aware resource allocation schemes towards a rigorous treatment of latency issues in vehicular communications. Based on the developed graph-enabled methods, we will also investigate effective and scalable distributed resource allocation algorithms to further reduce network signaling overhead.