As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …

Deep learning has proven itself to be a powerful tool to develop datadriven signal
processing algorithms for challenging engineering problems. By learning the key features …

The rise and proliferation of artificial intelligence (AI) has the potential to influence and
disrupt many aspects of society as we currently know it. While it has been a long-held belief …

AI powered wireless networks promise to revolutionize the conventional operation and
structure of current networks from network design to infrastructure management, cost …

The unprecedented requirements of IoT have made fine-grained optimization of spectrum
resources an urgent necessity. Thus, designing techniques able to extract knowledge from …

The conventional design of wireless communication systems typically relies on established
mathematical models that capture the characteristics of different communication modules …

With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …

The rapidly growing wave of wireless data service is pushing against the boundary of our
communication network's processing power. The pervasive and exponentially increasing …

The applications of artificial intelligence (AI) and machine learning (ML) technologies in
wireless communications have drawn significant attention recently. AI has demonstrated real …

As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …