9月5日学术报告Towards a Self-regulating Society of Cognitive Radios-Prof. Kai-Kit Won(通信系)

发布时间:2012-08-29 

学术报告

Towards a Self-regulating Society of

Cognitive Radios

Speaker: Prof. Kai-Kit Wong

Reader in Wireless Communications, Department of EEE

University College London

Associate Editor, IEEE WCL, IEEE COMML, IEEE SPL, KICS

JCN, and IET-COM

日期:2012 9 5 日(星期三)

时间:上午 930 1030

地点:复旦大学计算中心楼B415

Abstract:

While spectrum is believed to be precious, it is actually seriously underutilized. According to

Ofcom in the UK, over 50% of locations in the UK could have more than 150 MHz of interleaved

spectrum available for cognitive access. It is Ofcom's goal to move from the traditional

exclusive-use model to a liberalization model in spectrum allocation. In this talk, I will study the

distributed resource allocation problem for an orthogonal frequency-division multiple-access

(OFDMA) interference channel in which every user is free to access any of the frequency

channels and users inherently compete and interfere with each other. I will take a game-theoretic

perspective of the channel and view the network as individuals interacting with the environment

composed of the reactions from competitors. Competition among selfish individuals is bound to

result in the tragedy of the commons, with users harmfully interfering with each other without a

proper reconciliation mechanism. Inspired by the Stackelberg leadership model of a strategic game,

I propose to inject environmental foresightedness to users by introducing the role of

environmental interference derivative in one's action (or strategy). As a major result, I will present

a physical property of the OFDMA resource allocation game which permits users to be foresighted

for a much more effective reconciliation for maximizing their rates, based on only local channel

state information (l-CSI) at the user level. The outcome is a simultaneous water-filling game

regulated by a carefully chosen operational interference derivative. Simulation results will be

provided to show that the proposed game can achieve the network sum-rate close to the

near-optimal centralized solution. The talk will be concluded by a discussion of using the strategic

game for a primary-secondary cognitive radio network.

Bio:

Kai-Kit Wong received the BEng, the MPhil, and the PhD degrees, all in Electrical and Electronic

Engineering, from the Hong Kong University of Science and Technology, Hong Kong, in 1996,

1998, and 2001, respectively. After graduation, he took up academic and research positions at the

University of Hong Kong, Lucent Technologies, Bell-Labs, Holmdel, the Smart Antennas

Research Group of Stanford University, and the University of Hull, UK. At present, he is Reader

in Wireless Communications at the Department of Electronic and Electrical Engineering,

University College London, UK.

He is Senior Member of IEEE and is also on the editorial board of several international journals

including the IEEE Wireless Communications Letters, IEEE Communications Letters and IEEE

Signal Processing Letters. His current research interests center around cognitive radio, cooperative

wireless networks, performance analysis of single and multiuser MIMO channels and

physical-layer security analysis and optimisation.