Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …

In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …

Split learning (SL) is a collaborative learning framework, which can train an artificial
intelligence (AI) model between a device and an edge server by splitting the AI model into a …

With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …

Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

Incentive plays an important role in knowledge discovery, as it impels users to provide high-
quality knowledge. To promise incentive schemes with transparency, blockchain technology …

Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …

Predicting traffic flow plays an important role in reducing traffic congestion and improving
transportation efficiency for smart cities. Traffic Flow Prediction (TFP) in the smart city …

Multicast short video streaming (MSVS) can effectively reduce network traffic load by
delivering identical video sequences to multiple users simultaneously. The existing MSVS …