With the development of 6G, the rapidly increasing number of smart devices deployed in the
Industrial Internet of Things (IIoT) environment has been witnessed. The radio environment …

The radio map has emerged as a promising tool for optimizing spectrum resource utilization
and shaping the future landscape of intelligent wireless networks. However, the deployment …

Mobile edge computing (MEC) can enhance the computation capabilities of smart mobile
devices for computation-intensive mobile applications via supporting computation offloading …

Cloud radio access network (C-RAN) is a promising architecture to fulfill the ever-increasing
resource demand in telecommunication networks. In C-RAN, a base station is decoupled …

Multi-access edge computing (MEC) and ultra-dense networking (UDN) are recognized as
two promising paradigms for future mobile networks that can be utilized to improve the …

In the dense data communication environment of 5G wireless networks, with the dramatic
increase in the amount of request computation tasks generated by intelligent wireless …

Making effective use of scarce spectrum resources, along with efficient computational
performance, is one of the key challenges for future wireless networks. To tackle this issue …

With the successful commercialization of 5G technology and the accelerated research
process of 6G technology, smart cities are entering the 3.0 era. In 6G smart cities, Multi …

Recently, information-centric wireless networks (ICWNs) have become a promising Internet
architecture of the next generation, which allows network nodes to have computing and …

A distributed reinforcement learning (RL) based resource management framework is
proposed for a mobile edge computing (MEC) system with both latency-sensitive and …