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, which find important applications in both radio frequency and optical wireless communications.
Therefore, we develop a second asymptotic technique to analyze the outage and error rate performance of multi-channel lognormal fading and obtain simple, highly accurate closed-form approximate outage and error rate expressions for both independent and correlated lognormal fading channels. These analytical expressions can be used to reveal insights into this challenging fading channel model.
Julian Cheng于加拿大亚伯达大学获得了电气工程专业的博士学位，目前是加拿大英属哥伦比亚大学工程学院的教授、博士生导师。他的研究领域包括无线通信理论、无线网络、无线光通信、量子通信等。Cheng教授是多个美国IEEE会议和研讨会的技术委员会委员，曾任第12届加拿大信息论研讨会联席主席、2012年无线通信大会主席、2015年全球通信大会之第6届IEEE无线光通信研讨会主席等职。目前，他担任了IEEE通信学报、IEEE无线通信学报、IEEE通信快报、IEEE Access等国际期刊的副编辑，并曾任IEEE JSAC期刊的无线光通信专刊的客座编辑。他还是加拿大信息论协会的当值主席。