DS-IRSA: A deep reinforcement learning and sensing based IRSA

I Hmedoush, P Gu, C Adjih… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
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 …

Deep learning, sensing-based IRSA (DS-IRSA): Learning a sensing protocol with deep reinforcement learning

I Hmedoush, C Adjih, P Mühlethaler - 2022 - inria.hal.science
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) …

Deep-IRSA: A deep reinforcement learning approach to irregular repetition slotted ALOHA

I Ayoub, I Hmedoush, C Adjih… - 2021 10th IFIP …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) aims to connect billions of devices, most of which are power and
memory-constrained. Such constraints require efficient network access.“Irregular Repetition …

Multi-power irregular repetition slotted ALOHA in heterogeneous IoT networks

I Hmedoush, C Adjih, P Mühlethaler… - 2020 9th IFIP …, 2020 - ieeexplore.ieee.org
Irregular Repetition Slotted Aloha (IRSA) is one candidate member of a family of random
access protocols to provide solutions for massive parallel connections in the Internet of …

A regret minimization approach to frameless irregular repetition slotted aloha: Irsa-rm

I Hmedoush, C Adjih, P Mühlethaler - Machine Learning for Networking …, 2021 - Springer
Wireless communications play an important part in the systems of the Internet of Things
(IoT). Recently, there has been a trend towards long-range communications systems for IoT …

Multi-packet reception dynamic frame-slotted ALOHA for IoT: Design and analysis

A George, TG Venkatesh - Internet of Things, 2020 - Elsevier
Abstract Machine-to-Machine (M2M) Data Collection networks form an integral part of the
internet of things wherein a Data Collector (DC) collects data from a large number of nodes …

Capacity region of ALOHA protocol for heterogeneous IoT networks

M Noori, S Rahimian, M Ardakani - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In an Internet of Things (IoT) network, heterogeneous users with different priorities and
service requirements will co-exist. This makes scheduling access to the shared …

Collaborative distributed Q-learning for RACH congestion minimization in cellular IoT networks

SK Sharma, X Wang - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
Due to infrequent and massive concurrent access requests from the ever-increasing number
of machine-type communication (MTC) devices, the existing contention-based random …

Designing Medium Access Control Protocol Sequences Through Deep Reinforcement Learning

C Adjih, CS Chen, CS Gobin… - 2023 Joint European …, 2023 - ieeexplore.ieee.org
This work aims to design protocol sequences through deep reinforcement learning (DRL).
Protocol sequences are periodic binary sequences that define multiple access control …

System level integration of irregular repetition slotted ALOHA for industrial IoT in 5G new radio

HM Gürsu, MÇ Moroğlu, M Vilgelm… - 2019 IEEE 30th …, 2019 - ieeexplore.ieee.org
Automation is a key part of the new industrial revolution, that will be enabled by the
deployment of thousands of sensors and actuators. The flexible deployment of these devices …