We propose a coordinated random access scheme for industrial Internet-of-things (IIoT)
scenarios, with machine-type devices (MTDs) generating sporadic correlated traffic. This …

In fifth-generation (5G) and beyond cellular networks, grant-free random access (RA) is
useful to reduce latency in uplink. We consider a scenario wherein time is split into frames …

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 …

This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency
Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as …

Irregular Repetition Slotted Aloha (IRSA) is one candidate member of a family of random
access-based protocols to solve massive connectivity problem for Internet of Things (IoT) …

This paper proposes a distributed Reinforcement Learning (RL) based framework that can
be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity …

Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency
Communication (URLLC) to support critical processes underlying the production chains …

One of the main difficulties to enable the future scaling of IoT networks is the issue of
massive connectivity. Recently, Modern Random Access protocols have emerged as a …

Industrial Internet of Things (IIoT) applications generate data in varying amounts with diverse
quality of service requirements. The adaptive network access approach and distributed …

We consider the dynamic spectrum access (DSA) problem where K Internet of Things (IoT)
devices compete for T time slots constituting a frame. Devices collectively monitor M events …