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1. 报告题目：
Applying Reinforcement Learning to Cognitive Radio Networks
2. 报告人：Mr. Tao Jiang
3. 时间：2009年03月25日 (星期三) 下午3:00 – 5:00
4. 地点：浙江大学、信息科学与电子工程系、信电楼215会议室
Abstract:
Distributed artificial intelligence, like reinforcement learning, has been proposed for cognitive radio (CR) as a potential way to dynamically interact with an unknown wireless environment. Existing reinforcement learning algorithms developed at the University of York have already shown the impact of reinforcement learning on cognitive radio system. By utilizing reinforcement learning, CR users are able to discover the best available resources autonomously, which results in significantly improved performance, while reducing the need for spectrum sensing. A “pre-play” stage is defined which allows cognitive user to search for a preferred spectrum set. A suitable balance can be achieved between exploration and exploitation phases seen in reinforcement learning by adjusting the settings of the preferred spectrum set.
Biography:
Tao Jiang received his BEng degree in Electronic Information Engineering from the School of Electronic Engineering, Xidian University, China in 2005. He is currently a Research Associate pursuing his Ph.D. degree at the Communications Research Group, Department of Electronics, the University of York, UK. His research interests include cognitive radio, dynamic spectrum sharing and coexistence, the application of artificial intelligence to cognitive radio.
Tao Jiang is with the Communications Research Group at the University of York, which is one of the largest academic teams in the UK dedicated to Cognitive Radio (CR) and Cognitive Networking (CN). Over the last 10 years or so the Communications Research Group has carried out extensive research into radio resource and spectrum management, and has built up significant expertise, centred on the data-link layer, while taking into account physical layer effects and the impact of the network and higher layers on performance. Under the framework of the Communications Research Group, its Cognitive Radio Lab is expanding rapidly, and is supported by a UK Ministry of Defence Competition of Ideas Project “Cognitive Routing for Tactical Ad Hoc Networks”, which also involves members of the Intelligent Systems Research Group.
Seminar background:
Tao Jiang is fully sponsored by the WUN (Worldwide University Network, http://www.wun.ac.uk/) Cognitive Communications Consortium for 3-month visiting to Zhejiang University as an International Exchange Scholar. Currently, the WUN CogCom Consortium (http://www.wun.ac.uk/demo/cogcom/index.html) consists of 20 academic top-level institutions and industrial members, from Europe, North America, Asia and Australasia, as listed as following:
1. University of Bristol, UK
2. University of York, UK
3. University of Leeds, UK
4. British Telecom (BT), UK
5. Philips, UK
6. Trinity College Dublin, Ireland
7. Czech Technical University, Czech
8. Jožef Stefan Institute, Slovenia
9. Penn State University, USA
10. Virginia Tech, USA
11. University of Sydney, Australia
12. University of Western Australia
13. Zhejiang University
The CogCom Consortium aims to play a leading role in Cognitive Communications research through global collaboration. Cognitive communications promises to revolutionize the way wireless communication devices and networks behave through “intelligent” assignment of resources and operation. |
英国约克大学The University of York United Kingdom Tao Jiang学术报告会
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