Multiagent reinforcement learning meets random access in massive cellular Internet of Things

J Bai, H Song, Y Yi, L Liu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) has attracted considerable attention in recent years due to its
potential of interconnecting a large number of heterogeneous wireless devices. However, it …

Delay-aware priority access classification for massive machine-type communication

MR Chowdhury, S De - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Massive Machine-type Communications (mMTC) is one of the principal features of the 5th
Generation and beyond (5G+) mobile network services. Due to sparse but synchronous …

Performance study and enhancement of access barring for massive machine-type communications

JR Vidal, L Tello-Oquendo, V Pla, L Guijarro - IEEE Access, 2019 - ieeexplore.ieee.org
Machine-type communications (MTC) is an emerging technology that boosts the
development of the Internet of Things by providing ubiquitous connectivity and services …

Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks

AM Gedikli, M Koseoglu, S Sen - Computer Networks, 2022 - Elsevier
One of the most difficult challenges in radio access network slicing occurs in the connection
establishment phase where multiple devices use a common random access channel in …

[PDF][PDF] Mini-slot based access barring scheme for IoT networks

M Alvi, WT Toor, Y Rehman, I Javed, M Idrees… - … -Centric Computing and …, 2023 - hcisj.com
These rising adoption of Internet of Things (IoT) devices in various applications have placed
significant demands on cellular networks, including LTE/5G because they have to provide …

[HTML][HTML] Performance analysis of access class barring for next generation IoT devices

M Alvi, KM Abualnaja, WT Toor, M Saadi - Alexandria Engineering Journal, 2021 - Elsevier
Massively dense deployment of Internet of Things (IoT) devices has put a stringent
requirement on cellular networks to provide convenient service for not only human type …

Evolution of random access process: From Legacy networks to 5G and beyond

WT Toor, A Basit, N Maroof, SA Khan… - Transactions on …, 2022 - Wiley Online Library
In this paper, we discuss the random access procedures in legacy networks, long‐term
evolution, LTE‐Advanced, and 5G networks. Random access is the first and incumbent step …

[HTML][HTML] Access control in NB-IoT networks: A deep reinforcement learning strategy

Y Hadjadj-Aoul, S Ait-Chellouche - Information, 2020 - mdpi.com
The Internet of Things (IoT) is a key enabler of the digital mutation of our society. Driven by
various services and applications, Machine Type Communications (MTC) will become an …

[HTML][HTML] Combined access barring scheme for IoT devices using Bayesian estimation

WT Toor, M Alvi, M Agiwal - Electronics, 2020 - mdpi.com
This paper focuses on proposing a new access barring scheme for internet of things (IoT)
devices in long term evolution advanced (LTE/LTE-A) and 5G networks. Massive number of …

[PDF][PDF] Mobile network connectivity analysis for device to device communication in 5G network.

A Laguidi, T Hachad, L Hachad - International Journal of …, 2023 - pdfs.semanticscholar.org
Since long term evolved release 14 (LTE R14), the device to device (D2D) communications
have become a promising technology for in-band or outband mobile communication …