Additional Calendars
Calendar Views
All
Athletics
Conferences and Meetings
Law School
Special Events

DOCTOR OF PHILOSOPHY DISSERTATION DEFENSE BY: Jingfang Huang

When: Thursday, May 5, 2016
8:00 AM - 10:00 AM
Where: > See description for location
Cost: Free
Description: TOPIC: QoE-AWARE SCALABLE VIDEO TRANSMISSION OVER RESOURCE-CONSTRAINED COGNITIVE RADIO NETWORKS

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Scarce radio spectrum bands limit the advancement of modern wireless applications, especially multimedia applications, such as 3DTV and free viewpoint video (FVV), the quality of which is determined by available network bandwidth. In the meantime, the concept of Cognitive Radio (CR) networks has recently emerged to improve spectrum bandwidth utilization. In brief, a CR network attempts to identify the unused portion of allocated spectrum bands and loan them to others. However, how to satisfy each of users quality requirements under the limited spectrum resources is challenging for the design of CR network. The research in this dissertation is to address the challenge for video transmission with high quality and spectrum resource requirements. My approach is a cross layer design that can improve peoples perceived video quality, called Quality of Experience (QoE), from application level and can adjust the spectrum band allocation for optimal CR network system utility. This dissertation presents the research results on this proposed approach.

The core of this approach is a joint design of source coding, channel coding, and resource allocations in CR networks that considerably improves both bandwidth efficiency and QoE of video transmissions according to application characteristics. Specifically, a game based CR cloud network design for multimedia transmission is proposed, which satisfies the network user strict QoE requirement; the existence and uniqueness of the Stackelberg Nash equilibrium have also been proved. In this research, I proceed with three main steps: (1) Modeling QoE-aware resource allocation for multimedia transmission over CR networks; (2) Deriving optimal solutions including the joint design of game-based source-channel coding for resource-constrained QoE-driven multimedia transmission over CR networks; and (3) Conducting extensive performance evaluation through both simulation and experiments. The contributions of this work mainly include three folds: a game-based resource allocation scheme for resource-constrained CR network, which considers the network users quality of experience (QoE) and provides optimal resource allocation; a comprehensive cross-layer design for CR network; an extensive performance evaluation that proved the effectiveness of the proposed approach. The obtained research results are promising and anticipated to make broad impact on mobile and wireless communications and related multimedia applications over CR networks.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Honggang Wang
Committee Members: Dr. Dayalan Kasilingam and Dr. Liudong Xing, Department of Electrical & Computer Engineering; Dr. Ken C.K. Lee, Microsoft Seattle; Dr. Shaoen Wu, Ball State University

*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering