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 …

Beyond fifth generation (B5G) is expected to tremendously improve network capabilities by
using a higher frequency band compared to 5G, capable of delivering higher network …

One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …

With the rapid growth of multimedia services, the burden of infrastructure is becoming
heavier, which may not guarantee a high-quality experience for users. Whether the …

We consider reinforcement learning (RL) in Markov decision processes in which an agent
repeatedly interacts with an environment that is modeled by a controlled Markov process. At …

Radio Access Network (RAN) slicing is a key technology in 5G communication systems. It
dynamically allocates network resources such as bandwidth and time slots to each RAN …

Abstract The Industrial Internet of Things (IIoT) is an emerging and promising concept that
allows intelligent manufacturing through the connectivity of 5G/6G and the interaction of …

To accommodate the requirements of extensive coverage and ubiquitous connectivity in 6G
communications, satellite plays a more significant role in it. As users and devices explosively …

Cognitive Radio (CR) with other advancements such as the Internet of things and machine
learning has recently emerged as the main involved technique to use spectrum in an …

Network Slicing (NS) is a key enabler of the 5G network ecosystem due to its potential to
provide distinct services over the same physical infrastructure. However, the necessity to …