Tao Zhao – Best Student Paper Award

Mr. Tao Zhao, a PhD Student in the Department of Electrical and Computer Engineering at Texas A&M University, and his advisor Dr. I-Hong Hou are proud to announce that Tao Zhao has won the Best Student Paper award of the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2017) in Paris, France. Zhao co-wrote the paper “A Non-Monetary Mechanism for Optimal Rate Control Through Efficient Delay Allocation” with Dr. I-Hong Hou and Dr. Korok Ray.

Their paper proposes a practical non-monetary mechanism that induces the efficient solution to the optimal rate control problem, where each client optimizes its request arrival rate to maximize its own net utility individually, and at the Nash Equilibrium the total net utility of the system is also maximized. Existing mechanisms typically rely on monetary exchange which requires additional infrastructure that is not always available. Instead, the proposed protocol is based on efficient delay allocation, where the server controls the delay experienced by each client through an intelligent scheduling policy. Specifically, they present an efficient delay allocation rule for the server to determine the target delay of each client. Then they propose a simple scheduling policy to achieve such delay allocation. Furthermore, they design a distributed rate control protocol for the system to converge to the Nash Equilibrium. The optimality of their mechanism is validated via extensive simulations on two representative systems against a baseline mechanism with FIFO scheduling and centralized rate control.

Congratulations Tao Zhao!