Professor Dr Giuseppe Caire

Research Priorities: Information theory, channel coding, source coding, machine learning for communication networks, wireless communication systems
Giuseppe Caire is one of the world’s leading experts regarding the foundations of communications technology and information theory. His main research focuses on the use of information theory in wireless communication systems, in particular on multiantenna communication, mobile multiuser communication, source and channel coding, as well as machine learning (deep learning) in communication systems and networks. This work underpins standard modern wireless communication technologies such as 5G and WiFi. His most important scientific achievements include “Bit-Interleaved Coded Modulation” (BICM), which is recognised as the standard for spectral efficient modulation in wireless channels and is used in WiFi and LTE networks. Guiseppe Caire has also made important contributions to the information theory of performance control in fading channels, and the analysis of ARQ protocols. This research has helped significantly improve the efficiency and reliability of wireless communication systems.
Caire’s work on the capacity of “Multiple Input Multiple Output” channels (MIMO channels) and on multiantenna communication have paved the way for the development of modern mobile networks. His research on integrating sensors and communication is considered key to future developments in the Internet of Things (IoT), and has the potential to significantly boost the efficiency and connectivity of connected systems.
Giuseppe Caire’s research findings are put to use in many different areas. They form the basis for progress in global communications infrastructure by enabling faster and more reliable networks, which are indispensable in mobile communications, smart city technology, and global data networks.