… mechanisms used in wireline communications. Finally, we propose a new paradigm for
wireless communications based on competition, which allows wireless stations to harvest …

… 8.4 Wireless Technology Wireless technologies are also expanding their range of functions.
Wireless communications are particularly useful for supplying data services to remote …

… learning applies to wireless communication security. In this context, adversarial machine
learning … Motivated by this flexible design paradigm, deep learning provides automated means …

… of AI mechanism including novel paradigm to compress and … to novel paradigms of wireless
communication channel shaping with … , technology and machine learning performance with a …

… With the maturity of wireless mobile communications and … In particular, devices use these
technologies to communicate … over the Internet or wireless communication infrastructure. This …

… wireless communication resource allocation. In particular, dual-functional performance metrics
are discussed for both learning and communication. … these mature learning paradigms, a …

… interests include communication techniques for wireless networks with a focus on radio
resource allocation, scheduling algorithms, energy efficiency, and machine learning for RAN. He …

… learning (ML) has been widely applied to the upper layers of wireless communication systems
for various purposes, such as deployment of cognitive radio and communication network. …

… RRM is an essential aspect of wireless communication systems, especially in k-tiered
UDHN which consists of multiple types of cells with different frequencies, technologies, and …

… advent of the wireless communications systems augurs … wireless communication and 5G
networking. Integration of Artificial Intelligence (AI) with 5G wireless networks, Machine learning, …