Deep learning for wireless physical layer: Opportunities and challenges

T Wang, CK Wen, H Wang, F Gao… - … Communications, 2017 - ieeexplore.ieee.org
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. …

[PDF][PDF] Deep Learning Based End-to-End Wireless Communication Systems Without Pilots.

H Ye, GY Li, BH Juang - IEEE Trans. Cogn. Commun. Netw., 2021 - ieeexplore.ieee.org
… The development of modern wireless communications has significantly improved our daily
life. A full-fledged successful communication system takes advantage of various technical …

B5G and 6G: Next generation wireless communications technologies, demand and challenges

EA Kadir, R Shubair, SKA Rahim… - 2021 International …, 2021 - ieeexplore.ieee.org
… Online teaching and learning is one of the systems required … In the era of B5G and 6G
communication system, a multiinput … more channels for wireless communication then MIMO system …

[DOC][DOC] The challenges of wireless communications in developing a virtual university

PM Papazoglou, DA Karras, AC Tsakiri - … Scientific Conference eRA, 2006 - ikaros.teipir.gr
… educational services to moving users via wireless access. Due to the … learning in higher
education in combination with the technical challenges in the area of wireless communications

[PDF][PDF] Application of machine learning in wireless communications

TC Zhu, HY Li, YS Lai - International Core Journal of Engineering, 2021 - icj-e.org
… of wireless communication, analyze and summarize their applicability and design in solving
wireless communication … Human society is entering the era of information explosion. The …

Machine learning for wireless communication channel modeling: An overview

SM Aldossari, KC Chen - Wireless Personal Communications, 2019 - Springer
… working to involve machine learning for the 5G era. The network … 1, machine learning applied
to wireless communication … Consequently, machine learning for wireless channel modeling …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEE …, 2021 - ieeexplore.ieee.org
… include supervised, unsupervised, and reinforcement learning. In this section, the ML is
introduced in the context of widely used mobile and wireless communication networks. …

A method for guaranteeing wireless communication based on a combination of deep and shallow learning

Q Tian, J Li, H Liu - IEEE Access, 2019 - ieeexplore.ieee.org
… ABSTRACT Wireless communication has changed and improved people's lives and society,
… of Things (IoT) era. Despite the maturity of wireless communication, the security issue of …

[Retracted] The Development and Management Work Innovation of University Students by Artificial Intelligence and Deep Learning in the Wireless Network Era

Q Li, T Qi, L Liu - Wireless Communications and Mobile …, 2022 - Wiley Online Library
… with learning resources or manage students’ learning to improve students’ learning efficiency.
… Firstly, this study constructed a personalized learning resource recommendation model for …

[PDF][PDF] Evolution of mobile wireless communication to 5G revolution

AA Salih, SR Zeebaree, AS Abdulraheem… - … Reports of Kansai …, 2020 - researchgate.net
… Abstract—Over recent years, the evolution of mobile wireless communication in the world
has … The fifth era ought to be an increasingly astute innovation that interconnects the whole …