Deep learning is a branch of machine learning that learns the high-level abstraction of data
in a layered structure. Since its invention, it has been successfully applied in many image …

Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …

To accommodate diverse Quality-of-Service (QoS) requirements in 5th generation cellular
networks, base stations need real-time optimization of radio resources in time-varying …

Machine learning is a powerful tool to predict user behavior and harness the vast amount of
data measured in cellular networks. Predictive resource allocation is a promising approach …

With recent advancements in Internet of Things (IoT) communications, the demand for fastest
communication is an utmost concern of the IoT technology. The advent of 5G …

The rich mobile data and edge computing enabled wireless networks motivate to deploy
artificial intelligence (AI) at network edge, known as edge AI, which integrates wireless …

Due to the greatly increased bandwidth of 5G networks compared with that of 4G networks,
the power consumption brought by baseband signal processing of 5G networks is much …

Wireless big data is attracting extensive attention from operators, vendors and academia,
which provides new freedoms in improving the performance from various levels of wireless …

The increased complexity and heterogeneity of emerging 5G and B5G wireless networks will
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …

As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …