The road towards 6G: A comprehensive survey
As of today, the fifth generation (5G) mobile communication system has been rolled out in
many countries and the number of 5G subscribers already reaches a very large scale. It is …
many countries and the number of 5G subscribers already reaches a very large scale. It is …
6G wireless communications networks: A comprehensive survey
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …
deployed with the aim of providing high data rates. However, the rapid growth in the number …
Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning
Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the
fabrication of programmable meta-material, has been speculated as one of the key enabling …
fabrication of programmable meta-material, has been speculated as one of the key enabling …
Multi-hop RIS-empowered terahertz communications: A DRL-based hybrid beamforming design
Wireless communication in the TeraHertz band (0.1-10 THz) is envisioned as one of the key
enabling technologies for the future sixth generation (6G) wireless communication systems …
enabling technologies for the future sixth generation (6G) wireless communication systems …
Data-driven deep learning for automatic modulation recognition in cognitive radios
Automatic modulation recognition (AMR) is an essential and challenging topic in the
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …
Flight delay prediction based on aviation big data and machine learning
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …
business. Recent studies have been focused on applying machine learning methods to …
Deep learning for physical-layer 5G wireless techniques: Opportunities, challenges and solutions
The new demands for high-reliability and ultra-high capacity wireless communication have
led to extensive research into 5G communications. However, current communication …
led to extensive research into 5G communications. However, current communication …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare
Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
Fast beamforming design via deep learning
H Huang, Y Peng, J Yang, W Xia… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …