Group Members

• Anjin Guo
• Zhen Tong
• Xinchen Zhang
• Na Deng
• Prof. Haenggi

Links

• Group Home
• EWA Laboratory
• Wireless Institute
• Dept. of Electrical Engineering
• College of Engineering
• University of Notre Dame

Xiaowen Liu

Education

Ph.D., University of Notre Dame, 2007.

M.S.E.E., University of Notre Dame, 2002.

M.S.E.E., Graduate school of Chinese Academy of Sciences & University of Science and Technology, Beijing

B.S.E.E, Hunan University, Changsha.

Research Summary

My research is focusing on the performance analysis of Rayleigh fading networks. We employ the Rayleigh fading link model which takes into account the stochastic nature of the fading channel. As a result, all properties of the network become random variables, in particular the signal-to-noise-and-interference ratio that determines the success of a transmission.

We study the throughput, energy consumption (lifetime), delay of regular networks with node placed in lattice topologies and random networks where nodes are uniformly randomly distributed. For the regular networks, square networks are explored in more detail for their load distribution analysis. By comparing the performance of regular and random networks, we introduced quasi-regular networks, which only use nodes as relays that are approximately evenly spaced, thereby emulating a regular grid topology. Currently, we are carrying out some analytic work for the three networks.