The Metaverse is a new paradigm that aims to create a virtual environment consisting of
numerous worlds, each of which will offer a different set of services. To deal with such a …

Status update freshness in slotted ALOHA networks is an important issue for Internet of
things scenarios with large number of nodes and uncoordinated access. We compare the …

The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …

This paper investigates various multi-agent reinforcement learning (MARL) techniques for
designing grant-free random access (RA) schemes suitable for low-complexity, low-power …

We focus on remote monitoring applications, in which a large number of devices send time-
stamped status updates over a wireless channel to a common receiver. An uncoordinated …

Cellular-based networks are deemed as one solution to provide communication links for the
internet of things (IoT) due to its high reliability and wide coverage. However, due to the …

Machine learning-based random access schemes have gained significant attention in recent
years. However, optimizing the access delay of such schemes remains a challenge. In this …

Efficient Random Access (RA) is critical for enabling reliable communication in Industrial
Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning-based …

Grant-free random access (RA) techniques are suitable for machine-type communication
(MTC) networks but they need to be adaptive to the MTC traffic, which is different from the …

For machine type communication with random access (RA) protocol, finding optimal policy
using deep reinforcement learning (DRL) is being actively investigated for various quality of …