Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …

This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency
Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as …

Diversity schemes play a vital role in improving the performance of ultra-reliable
communication (URC) systems by transmitting over two or more communication channels to …

Over-the-air federated learning (OTA-FL) has emerged as an efficient mechanism that
exploits the superposition property of the wireless medium and performs model aggregation …

This paper focuses on the latest research and innovations in fundamental next-generation
multiple access (NGMA) techniques and the coexistence with other key technologies for the …

To ensure safety in teleoperated driving scenarios, communication between vehicles and
remote drivers must satisfy strict latency and reliability requirements. In this context …

Proper determination of the transmission rate in ultra-reliable low latency communication
(URLLC) needs to incorporate a confidence interval (CI) for the estimated parameters due to …

Wireless federated edge learning (FEEL) has been recently proposed to support the mobile
artificial intelligence (AI) applications. Instead of transmitting local data to the edge server …

Federated learning (FL) allows multiple distrustful clients to collaboratively train a machine
learning model. In FL, data never leaves client devices; instead, clients only share locally …

Due to its ability to significantly improve the wireless communication efficiency, the intelligent
reflective surface (IRS) has aroused widespread research interest. However, it is a …