Information Theory & Networking

Spikes and SPN

One of the most striking applications of information theory is to provide guidelines to the optimum design of communication systems. In general, information theory derives upper bounds for the transmission performance, which can be approximated by appropriate design and operation of such systems. Classical information theory is mainly concerned with point-to-point communication for static noisy channels. Capacity in the information-theoretic context has been derived by Claude Shannon independent of channel dynamics, which poses the most challenging problems in designing mobile digital transmission systems.

Present information theory is shifting away from the point-to-point paradigm. The future is packet transport over high speed, particularly wireless networks using smart transmission technologies. The aim is to understand such networks as a whole, mainly at the application level. There is strong need for model extensions and further development of the theory, jointly with a continuing revolution of mathematical tools for the control and optimization of communication networks. Finally, concepts of network information theory have a strong impact on the systematic practical design of high speed wireless networks.


Bio inspired information processing

Achievable Rates for Full-Duplex Wireless Communication

Polar Codes