Speaker
Dr. Minming Ni, Beijing Jiaotong University, China
Topic
Rethinking the Interference Modeling Method for Random Wireless Networks
Abstract
Due to the broadcast nature of wireless communications, interference modeling is one of the key components of studies for wireless networks. Currently, almost all of the interference- related analyses are following the classic "discrete-style" modeling method, i.e., obtaining each concurrent transmitter's impact on a tagged observation point individually, and adding them together. To utilize the discrete-style method, the information of: 1) the number of coexisting transmitters in the network, and 2) the distance (or distance distribution) between all the interferers and the tagged observation point, should be acquired. However, neither of them is easy (or even feasible) to be obtained in the random wireless network scenario. In this talk, a Power Emission Density-based interference modeling method, which borrows the area-point equivalence idea from physics and makes use of the basic features of the Exclusive Region created by each communicating pair, will be introduced. By utilizing the new method, the traditional discrete-style calculation can be replaced with a concise integration over the entire network area, which could effectively reduce the complexity of interference modeling for random wireless networks. Moreover, some applications of the new method will also be described.
Speaker's biography
Minming Ni received his Ph.D degree from Beijing Jiaotong University, Beijing, China, in 2013. From Oct. 2010 to Jul. 2011, he worked as a visiting student in McMaster University, Hamilton, Ontario, Canada. He did his postdoctoral research at the University of Victoria, Victoria, British Columbia, Canada. He is currently an Assistant Professor in State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University. His area of specialization is wireless networks, and distributed systems. His current research interests include protocols for advance networking and performance analysis of networked systems.
Invited by Weihua Zhuang