… significantly to wireless communication that would allow 6G in … profound learning customized
for 6G wireless communication … itate the 6G wireless networks driven by profound learning. …

… that offers a new application for the future of 6G wireless communication and network
architecture. It enables ultra-reliable and low latency communication (URLLC) enhancing …

… deep into the fundamentals of wireless communications systems and identify the roots of the
highlighted challenges anticipated to be experienced in future wireless … machine learning …

… development and era demand are mutually reinforcing, so are TL technology and 6G era. …
TL is hailed as the leading technology for the next generation machine learning (ML), which …

… for next-generation wireless communications. Therefore, recent … over the years for challenging
tasks such as computer vision, … article with Section VII by providing our future perspectives. …

… Addressing the network optimization problems in wireless communication is essential in
6G networks. ML-enabled crosslayer network optimization and resource management have …

… The evolution from 5G to 6G wireless systems [1]. challenges, and we posit that ongoing …
-satellite links, we have proposed a deep neural network-based resource allocation strategy to …

… the vision of future 6G wireless communication and its network … Recent progress makes it
possible to apply machine learning … with machine learning will boost the evolution of AI in 6G to …

… Furthermore, we expect to move to an ultra era with future 6G … quantum communication and
machine learning in future 6G … shortage challenges in RF-based wireless communications […

… AI and ML techniques, especially deep learning, have rapidly … mainstream 6G technology,
since radio communications will … 6G, we expect the network to perform various sensing tasks …