Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …

5G/B5G is intended to support various services with the assistance of network slices, and
each slice requires adequate resources to provide the prenegotiated service quality. The …

Network slicing is considered one of the main pillars of the upcoming 5G networks. Indeed,
the ability to slice a mobile network and tailor each slice to the needs of the corresponding …

We are now in the first phase of the Fifth Generation (5G) network, and its full potential is still
a long way to reach. Network operators and manufacturers are preparing to release new 5G …

The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Network slicing enables an infrastructure provider (InP) to support heterogeneous 5G
services over a common platform (ie, by creating a customized slice for each service). Once …

Radio resource and its management is one of the key areas of research where technologies,
infrastructure and challenges are rapidly changing as 5G system architecture demands a …

Network slicing of multi-access edge computing (MEC) resources is expected to be a pivotal
technology to the success of 5G networks and beyond. The key challenge that sets MEC …

Edge computing is a promising solution for reducing service latency by provisioning time-
sensitive services directly from the network edge. However, upon workload peaks at the …