Seminar: ECE Faculty Candidate

 

Wednesday
March 15

11:00 - 11:50am
Kelley 1005

 

Minghua Chen
Ph.D. Candidate
Department of Electrical Engineering and Computer Sciences
University of California at Berkeley

 

 

Flow Control in Wireless Networks

 

Flow control, including congestion control for data and rate control for multimedia, is an important issue in information transmission over wireless networks. In this talk, we formulate the problem as a concave optimization one, and then we proposed a solution to the problem that can be modeled as a nonlinear singular perturbed system, and interpreted as dynamically adjusting both flow rates and number of connections of users. This modeling generates new insights to practice. We further explore the uniqueness of equilibrium rate and its global exponential stability, from both optimization and control perspectives. These results address stability, scalability and incremental deployment concerns from networking's point of view. Following theoretical insights, we design practical end-to-end schemes addressing the flow control problem in practice. Their performances are evaluated and characterized using both NS-2 simulations and actual experiments over Verizon Wireless 1xRTT commercial data network.

 

Biography:

 

Minghua Chen is a Ph.D. candidate in Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. He is a member of Video and Image Processing Lab, working with Prof. Avideh Zakhor. His dissertation identifies and develops new solutions for flow control in wireless networks, whose performance is guaranteed in theory and evaluated in practice. His research interests are in general area of information transmission over wireless networks, including source coding, flow control, network routing and coding, and wireless communications.

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