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Developing New Asymptotic Techniques for Correlated Fading Channels
时间:2018-07-13 15:15    点击:   所属单位:通信工程学院
讲座名称 Developing New Asymptotic Techniques for Correlated Fading Channels
讲座时间 2018-07-19 10:00:00
讲座地点 北校区新科技楼1012会议室
讲座人 Professor. Julian Cheng
讲座人介绍 Dr. Cheng received his PhD degree in electrical engineering from the University of Alberta, Edmonton, AB, Canada. He is currently a Full Professor in the School of Engineering, Faculty of Applied Science, at The University of British Columbia,Okanagan campusin Kelowna,BC,
Canada. His current research interests include wireless communications theory, wireless networks, optical wireless communications,and quantum communications. Dr. Cheng was a past Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IEEE Access, and was a past Guest Editor for a special issue of IEEE Journal on Selected Areas in Communications on optical wireless communications. He now volunteers as an Area Editor for IEEE Transactions on Communications. Currently, he also serves as the President of the Canadian Society of Information Theory.
讲座内容 Asymptotic analysis is widely used to analyze the performance of wireless digital communication systems in large signal-to-noise ratio (SNR) region, especially when the system model is too complex and is analytically intractable. This talk will first provide a tutorial review of the classical asymptotic technique. Then we will introduce two recently developed new asymptotic techniques. The first technique can be used to obtain asymptotically tight upper and lower bounds for the outage and error rate performance of digital communication systems for a large class of arbitrarily correlated fading channels. We will show that these upper and lower bounds will asymptotically converge to the classical asymptotic performance at high SNR. However, the aforementioned asymptotic techniques all fail to work with the lognormal fading channels. Therefore, we develop a second asymptotic technique to analyze the outage performance of multi-channel lognormal fading and obtain simple, highly accurate closed-form approximation for the longstanding problem of the sum of lognormal random variables.
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