||The Information Theory Lab is a small research laboratory in the Department of Electrical Engineering at National Chiao Tung University (NCTU), Hsinchu, Taiwan. We concentrate our time, research, and teaching to the field of information theory which constitutes the theoretic physical foundation of any communication system. As is customary for any organization that would like to introduce itself, we should add here our mission statement that clearly defines why we exist and what our goals are. Unfortunately, there are many diverging opinions about the raison d'être of a laboratory at a technical university (or any university in general), particularly about a lab that concentrates on fundamental research. To makes things worse, our existence is mainly based on public money. Therefore, because we do not want to cause a controversy, we do without a mission statement, but simply give some statements of more or less importance: All members of the IT-Lab enjoy interesting research in the field of information theory. We proudly try to find new results that improve our understanding of communication systems. We proudly do fundamental research even if not all our results are immmediately applicable in practical systems. We proudly offer courses that try to cover some fundamental topics in depth — we very much try to avoid teaching that only scratches on surfaces. We proudly work in a Microsoft Windows- and Microsoft Office-free environment. We proudly rely on LaTeX for a beautiful presentation of our results.
||At the moment there are several research projects running, all of them centered around the analysis of the maximum amount of information that can be transmitted over a certain communication system, the so called capacity. Specifically, our research time is concentrated on the following questions: What are the fundamental limitations of wireless communication systems? What are the fundamental limitations of wireless optical communication systems? What are the fundamental limitations of wired optical communication systems? What is the high-SNR capacity of flat fading channels? In particular we are interested in the second term of the high-SNR asymptotic expansion of capacity, the fading number. How can we find approximations to the exact capacity using numerical methods and computer simulation or computation? How does the high-SNR capacity of flat fading channels change, if instead of several antennas at the transmitter we have several (independent) users with only one antenna? How sensitive our high-SNR capacity results to changes of the channel model?