Xê-mi-na khoa học
05/05/2020: TS. Lâm Sinh Công (AVITECH), Stochastic Geometry Model for Cellular Networks
Stochastic Geometry Models has been utilized widely to replace Regular Hexagonal Models in terms of cellular network modelling and performance analysis. In this model, the Base Stations (BS) are assumed to be randomly distributed according to a 2D Poisson Point Process while the users follow a specific distribution and have connections to the nearest or strongest BS. Ultra-Dense Network in which the BSs are distributed with ultra-high density is promising a potential network scenario for 5G cellular network systems. This scenario utilizes Fractional Frequency Reuse scheme which allows the BSs fully share their allocated resources with the adjacent cells to improve spectrum efficiency. This talk provides a basic knowledge of Stochastic Geometry Model for Cellular Networks, followed by an application of this model for Ultra-Dense Network.
Speaker: TS. Lâm Sinh Công, AVITECH
Time: 15:30, Tuesday, May 05, 2020
Venue: Webinar – Microsoft Teams
Lam Sinh Cong received the Bachelor in Electronics and Telecommunication (Honours) and Master in Electronic Engineering in 2010 and 2012, respectively from University of Engineering and Technology, Vietnam National University (UET, VNUH). He obtained his Ph.D degree in Engineering from University of Technology, Sydney, Australia in 2018. He has been working for UET, VNUH as a lecturer since 2010. His research focuses on Stochastic Geometry Model for Wireless Communications and Machine Learning for Communications.