With the growth of mobile technology in the last decade, wireless networks have become an
integral part of our everyday lives. To meet the increasingly stringent application …

With the superior capability of discovering intricate structure of large data sets, deep learning
has been widely applied in various areas including wireless networking. While existing deep …

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 …

In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …

Data-driven machine learning approaches have been proposed to facilitate wireless
network optimization by learning latent knowledge from historical optimization instances …

With the development of wireless networks, the scale of network optimization problems is
growing correspondingly. While algorithms have been designed to reduce complexity in …

The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …

With recent advances, Artificial Intelligence (AI) and Machine Learning (ML) approaches
have emerged to show great promise in the field of wireless communications. Although …

Deep learning based on artificial neural networks (ANNs) is a powerful machine-learning
method that, in recent years, has been successfully used to realize tasks such as image …

In recent years, data-driven network resource management and optimization draw broad
attention in both industry and academia. High-quality network data sets are the prerequisite …