… is becoming a powerful method to add intelligence to wireless networks with large-scale
topology and complex radio conditions. DL uses many neural network layers to achieve a brain-…

… used in wireless research. To support data-driven research in wireless networks, this paper
… in wireless network research; (ii) provides a generic framework for applying data science in …

… communication within the intelligent wireless networks. The motivation here … wireless
networks by incorporating the Level 2 and Level 3 aspects as the key components of the network …

… in intelligent wireless … intelligent wireless networks in an exemplary case study. Simulation
results demonstrate the effectiveness and advance of machine learning in intelligent wireless …

… Wireless networks constitute one of the most important areas … and design wireless networks;
applying AI approaches to network … network architectures are not suited to the AI-enabled …

… , an intelligent sensor networks system based on intelligent gateway is studied in this paper.
Smart home system includes internal network, intelligent gateway, and external network. …

… ferences [1,2, 14, 15] experience in the uplink (UL) and downlink (DL) of wireless systems. …
Capacity Improvement and Spectral Efficiency: The spectral efficiency of a wireless network …

… data and respective workflows that facilitate intelligent network optimizations. It is our
strong belief that the wireless BD (WBD) and machine-learning/artificial-intelligence (AI)-based …

… DRL has great potential in enhancing the intelligence of wireless communication systems …
in intelligent wireless communications with focuses on millimeter wave (mmWave), intelligent …

… to wireless … and radio transmission[11−14], while analyzes big data features in wireless
networks and action in wireless AI to enhance intelligence. Therefore the main feature of 6G …