Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

During the past decade, Industry 4.0 has greatly promoted the improvement of industrial
productivity by introducing advanced communication and network technologies in the …

With the widespread deployment of 5G networks and the proliferation of mobile devices,
mobile network operators are confronted not only with massive data growth in mobile traffic …

Vehicular Ad-Hoc Networks (VANETs), as the crucial support of Intelligent Transportation
Systems (ITS), have received great attention in recent years. With the rapid development of …

Timely and accurate cellular traffic prediction is difficult to achieve due to the complex spatial-
temporal characteristics of cellular traffic. The latest approaches mainly aim to model local …

Accurate cellular traffic prediction is challenging due to the complex spatial topology of
cellular network and the dynamic temporal feature of mobile traffic. To overcome these …

With the accelerated popularization of 5G applications, accurate cellular traffic prediction is
becoming increasingly important for efficient network management. Currently, the latest …

The emerging Internet of Things (IoT) paradigm makes our telecommunications networks
increasingly congested. Unmanned aerial vehicles (UAVs) have been regarded as a …

Recurrent neural network (RNN) based models are widely adopted to capture temporal
dependencies in the state-of-the-art approaches for cellular traffic prediction. However, RNN …

The reliability of wireless telecommunication service has become a major concern for the
operation and maintenance (O&M) departments of the major telecommunication service …