Wireless and wired communication systems have experienced a formidable growth in the past years. The dramatic increase in the number of mobile subscribers and, in particular, of mobile broadband subscribers resulted in an enormous growth of mobile data traffic. The surge in the use of broadband applications such as video streaming and social media poses a significant challenge on all parts of current communication networks, from the core (backhaul) to the periphery (cellular base stations).
As already happened in the past, information theory is expected to play a significant role in tackling the challenges ahead. Information theory studies the ultimate limit on the rate of reliable communications, which is usually referred to as channel capacity.
Our research activity aims at developing an information theory that accounts for the impairments typically encountered in the development of wireless and wired network. Typical research questions include the characterization of the cost of acquiring and distributing channel state information and the impact on capacity of nonlinear phenomena such as phase noise. Our vision is that this theoretical effort will be instrumental for the design of next generation wireless and wired communication networks.