… Wirelesscommunication has been serving the world with a plethora of technological inventions from the time of the discovery of cellular frequency reuse [1]. The evolution of …
… of wirelesscommunication channels, especially in B5G scenarios. ML techniques may automatically extract the unknown channel information by learning from the communication data …
L Qian, P Yang, J Zhao, Z Chen, W Tang - arXiv preprint arXiv:2404.04844, 2024 - arxiv.org
… The process of learning and updating communication knowledge from the environment can … Automatic knowledge base construction approaches cater to the future big data era and are …
P Zhang, L Li, K Niu, Y Li, G Lu… - … and Converged Networks, 2021 - ieeexplore.ieee.org
… , 5G wirelesscommunication enters the fully implementation and commercial application era … research is MIMO, channel estimation, and deep learning for wirelesscommunications. …
B Sheen, J Yang, X Feng… - … of the Communications …, 2021 - ieeexplore.ieee.org
… : • We consider an RIS-assisted wirelesscommunication network and propose a ML-based … Debbah, “Wireless networks design in the era of deep learning: Model-based, AI-based, or …
Optical Communications in the 5G Era provides an up-to-… communication technologies for 5G next-generation wireless … in future wireless networks, state-of-the-art optical communication …
… Wirelesscommunications networks are operating at breaking point during an era of relentless tra c growth. Network operators must utilize scarce and expensive wireless spectrum e …
G Muhammad, MS Hossain - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
… The core network includes base stations (BSs) and network slicing, while the core cloud has energy cloud servers containing deep learning (DL) and machine learning (ML) modules, …