ADELE Project

ADELE mission is twofold. First, it will develop advanced coding and signal processing techniques for wireless communication networks. Furthermore, leveraging on ADELE participants know-how and expertise, the project addresses more ambitious long-term objectives and will contribute significantly to: (a) coding and information theory for quantum computing and communications, and (b) machine learning methods and the emerging field of graph signal processing for the analysis and operation of networks that handle massive amounts of data including, but not limited to, wireless communication networks.

In particular, ADELE pursues the following objectives:

• To develop advanced low-complexity analog joint source channel coding, and multiuser digital coding techniques for wireless communication networks. 

• To investigate the fundamental bounds of secure communication using quantum devices and devise new quantum channel codes for the classical-to-quantum channels that model the noisy operation of quantum computers.

• To construct advanced signal processing schemes for wireless communication networks with massive MIMO systems, using matrix completion algorithms and importance sampling techniques.

• To investigate machine learning methods and emerging tools of graph signal processing for the analysis and operation of wireless communication networks and other related scientific fields.

• To carry out experimental evaluation of coding and signal processing techniques by means of over-the-air transmissions, or by using IBM Q Experience experimental quantum computers.

By addressing these objectives, ADELE outcomes will lead to more reliable and tamper-proof communications and new mathematical tools with applications in communication engineering and beyond.