Title page for ETD etd-121212-164128

Document Type dissertation

Author Name Chen, Si

Email Address chensi at wpi.edu

URN etd-121212-164128

Title Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks

Degree PhD

Department Electrical & Computer Engineering

Advisors
Alexander M. Wyglinski, Advisor
Peder C. Pedersen, Committee Member
Kaveh Pahlavan, Committee Member
Sudharman K. Jayaweera, Committee Member

Keywords
Automobile Networks
Cognitive Radio
Dynamic Spectrum Access
Vehicular

Date of Presentation/Defense 2013-01-10

Availability unrestricted

Abstract
Vehicular Dynamic Spectrum Access (VDSA) combines the advantages of dynamic spectrum access to achieve higher spectrum efficiency and the special mobility pattern of vehicle fleets. This dissertation presents several noval contributions with respect to vehicular communications, especially vehicle-to-vehicle communications. Starting from a system engineering aspect, this dissertation will present several promising future directions for vehicle communications, taking into consideration both the theoretical and practical aspects of wireless communication deployment.
This dissertation starts with presenting a feasibility analysis using queueing theory to model and estimate the performance of VDSA within a TV whitespace environment. The analytical tool uses spectrum measurement data and vehicle density to find upper bounds of several performance metrics for a VDSA scenario in TVWS.
Then, a framework for optimizing VDSA via artificial intelligence and learning, as well as simulation testbeds that reflect realistic spectrum sharing scenarios between vehicle networks and heterogeneous wireless networks including wireless local area networks and wireless regional area networks. Detailed experimental results justify the testbed for emulating a mobile dynamic spectrum access environment composed of heterogeneous networks with four dimensional mutual interference.
Vehicular cooperative communication is the other proposed technique that combines the cooperative communication technology and vehicle platooning, an emerging concept that is expected to both increase highway utilization and enhance both driver experience and safety. This dissertation will focus on the coexistence of multiple vehicle groups in shared spectrum, where intra-group cooperation and inter-group competition are investigated in the aspect of channel access.
Finally, a testbed implementation VDSA is presented and a few applications are developed within a VDSA environment, demonstrating the feasibility and benefits of some features in a future transportation system.

Files
schen.pdf

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Document Type	dissertation
Author Name	Chen, Si
Email Address	chensi at wpi.edu
URN	etd-121212-164128
Title	Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks
Degree	PhD
Department	Electrical & Computer Engineering
Advisors	Alexander M. Wyglinski, Advisor Peder C. Pedersen, Committee Member Kaveh Pahlavan, Committee Member Sudharman K. Jayaweera, Committee Member
Keywords	Automobile Networks Cognitive Radio Dynamic Spectrum Access Vehicular
Date of Presentation/Defense	2013-01-10
Availability	unrestricted
Abstract Vehicular Dynamic Spectrum Access (VDSA) combines the advantages of dynamic spectrum access to achieve higher spectrum efficiency and the special mobility pattern of vehicle fleets. This dissertation presents several noval contributions with respect to vehicular communications, especially vehicle-to-vehicle communications. Starting from a system engineering aspect, this dissertation will present several promising future directions for vehicle communications, taking into consideration both the theoretical and practical aspects of wireless communication deployment. This dissertation starts with presenting a feasibility analysis using queueing theory to model and estimate the performance of VDSA within a TV whitespace environment. The analytical tool uses spectrum measurement data and vehicle density to find upper bounds of several performance metrics for a VDSA scenario in TVWS. Then, a framework for optimizing VDSA via artificial intelligence and learning, as well as simulation testbeds that reflect realistic spectrum sharing scenarios between vehicle networks and heterogeneous wireless networks including wireless local area networks and wireless regional area networks. Detailed experimental results justify the testbed for emulating a mobile dynamic spectrum access environment composed of heterogeneous networks with four dimensional mutual interference. Vehicular cooperative communication is the other proposed technique that combines the cooperative communication technology and vehicle platooning, an emerging concept that is expected to both increase highway utilization and enhance both driver experience and safety. This dissertation will focus on the coexistence of multiple vehicle groups in shared spectrum, where intra-group cooperation and inter-group competition are investigated in the aspect of channel access. Finally, a testbed implementation VDSA is presented and a few applications are developed within a VDSA environment, demonstrating the feasibility and benefits of some features in a future transportation system.
Files	schen.pdf