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学术讲座通知-冯志勇教授

2010-06-21 14:45

应北京邮电大学信息与通信工程学院,泛网无线通信教育部重点实验室冯志勇教授邀请,澳大利亚澳大利亚联邦科学与工业研究组织(CSIRO)ICT中心网络技术首席科学家Renping Liu博士将于6月22日上午在我校作精彩学术报告。欢迎我校师生踊跃参加。

讲座题目:Resource Allocation for QoS Multiuser MIMO with Zero Forcing Beamforming

主讲人:Dr Renping Liu, principle scientist of networking technologies in CSIRO ICT Centre, Australia

主持人:冯志勇教授

时间:2010622(星期二)上午9:00-10:00

地点:?

内容简介:

The presentation will start with a brief introduction to CSIRO MUMIMO system development. To enable ubiquitous end-to-end quality of service (QoS) over IP networks expanding to rural areas, we examine resource allocation problems of a MAC layer for an OFDM MIMO wireless base station (BS) using multiuser beamforming. We compare two linear beamforming techniques, zero-forcing (ZFBF) and minimum mean square error (MMSE-BF). To guarantee minimum bandwidth and low packet delay in an environment where the number of users is much larger than the number of BS antennas, one needs to partition the users into several sets and combine space division multiple access (SDMA) with time division multiple access (TDMA). We study the impact on the optimal transmission power resulting from selecting the following design parameters: (i) ZF-BF vs. MMSE-BF; (ii) the number of user sets multiplexed by TDMA; and (iii) the number of BS antennas.

报告人简介:

Ren Ping LIU received B.E. and M.E. degrees from Beijing University of Posts and Telecomms, China, and the Ph.D. degree in Electrical and Computer Engineering from the University of Newcastle, Australia. Since joining CSIRO in 1995, he has been heavily involved in commercial projects ranging from QoS design and TCP/IP inter-networking to next generation network architectures. As a CSIRO consultant, he delivered networking solutions to customers including Optus, AARNet, Nortel, Queensland Health, CityRail and Rio Tinto.

Dr Liuis a principle scientist of networking technologies in CSIRO ICT Centre. His research interests include modelling, resource allocation and performance analysis in IEEE 802.11, Mesh, Sensor and Cognitive Radio Networks.

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