Advanced information theory and applications


The design of next generation transmission techniques over optical fiber or wireless/satellite links requires advanced research that uses Information Theory and a solid background in mathematics to optimize advanced digital transmission algorithms and digital signal processing for signal generation, modulation, equalization, error correction, multi-input multi-output MIMO coordinated transmission and detection (originally applied to wireless, but today also in optical fiber transmission) and adaptive beamforming.
Information theory is a branch of mathematics and computer science that deals with the quantification, transmission, storage, and processing of information. It seeks to understand the fundamental principles governing how information is represented, compressed, transmitted, and retrieved, regardless of the specific content or meaning of the information. Key concepts in information theory include entropy, information entropy, and channel capacity, which are used to measure and describe information in various communication and data processing systems.

ERC sectors 

  • PE7_6 Communication systems, wireless technology, high-frequency technology 
  • PE7_7 Signal processing 
  • PE6_5 Security, privacy, cryptology, quantum cryptography 
  • PE6_7 Artificial intelligence, intelligent systems, natural language processing 
  • PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) 


  • MIMO transmission and detection
  • Beamforming