Ultra‐reliable low‐latency communication (URLLC) is one of the promising services offered
by fifth‐generation technology for an industrial wireless network. Moreover, reinforcement …

Deep learning enables real-time resource allocation for ultra-reliable and low-latency
communications (URLLC), one of the major use cases in the next-generation cellular …

As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …

Wireless communication networks of the future generations are expected to be inherently
complex owing to the network architecture they can incorporate. With such networks …

The design of Wireless Networked Control System (WNCS) requires addressing critical
interactions between control and communication systems with minimal complexity and …

Increased usage of wireless technologies in unlicensed frequency bands inevitably
increases the co-channel interference. Hence, for applications such as ultra-reliable-low …

The next generation (5G) wireless network is expected to support the fourth industrial
revolution, combining heightened data transfer speeds and processing power. Despite …

Multi-access edge computing (MEC) is an important enabling technology for 5G and 6G
networks. With MEC, mobile devices can offload their computationally heavy tasks to a …

Cloud radio access network (CRAN) has been shown as an effective means to boost
network performance. Such gain stems from the intelligent management of remote radio …

In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …