Buổi seminar với chủ đề: Modeling and Analysis of Ultra-Dense Heterogeneous Cellular Networks by Using Stochastic Geometry

Trân trọng kính mời Quý Thầy/Cô và các bạn sinh viên tham dự buổi seminar với chủ đề “Modeling and Analysis of Ultra-Dense Heterogeneous Cellular Networks by Using Stochastic Geometry”

Người trình bày: Từ Lâm Thanh, hiện đang thực hiện NCS tại Université Paris Saclay Pháp.

Thời gian: 14 giờ 00 ngày 30/12/2016.

Địa điểm: Phòng Họp HVCS, 11 Nguyễn Đình Chiểu, Phường Đa Kao, Quận 1, TP. HCM (dự kiến).



In this talk, we address the performance of both information decoding and harvested power in Simultaneous Wireless Information and Power Transfer (SWIPT)-enabled cellular networks. In particular, by using tool from Stochastic Geometry (SG) and applying multiple antennas technology at receiver and/or transmitter, the Joint Complementary Cumulative Distribution Function (JCCDF) of information rate and harvested power is analyzed. We show that Stochastic Geometry constitute an important tool for system-level modeling, analyzing and optimization of cellular networks. More specifically, we identify the diversity scheme that optimizes wireless information and power transmission of low energy devices (LEDs) and the requirements to harvest an amount of power of the order of a milliwatt.



Tu Lam Thanh (S’15) was born in Ho Chi Minh, Vietnam, in 1986. He received the B.S. degree in electronics and telecommunications engineering from Ho Chi Minh University of Technology, Vietnam, in 2009 and the M.Sc. degree in telecommunications engineering from Posts and Telecommunications Institute of Technology, Vietnam, in 2014. He is currently working toward the Ph.D. degree at Université Paris Saclay, Laboratory of Signals and Systems (L2S), a joint research laboratory of the French National Center for Scientific Research (CNRS), the CentraleSupélec and the University of Paris-Sud XI, Paris, France. He is an Early Stage Researcher of the European-funded project Marie Curie ITN-5Gwireless. His research interests include stochastic geometry, energy harvesting and interference alignment.


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