A survey of random access control techniques for machine-to-machine communications in LTE/LTE-A networks
H Althumali, M Othman - IEEE Access, 2018 - ieeexplore.ieee.org
Machine-to-machine (M2M) communications refer to the autonomous interaction between
connected devices without the human intervention. Recently, the Third-Generation …
connected devices without the human intervention. Recently, the Third-Generation …
Reinforcement learning-based ACB in LTE-A networks for handling massive M2M and H2H communications
L Tello-Oquendo, D Pacheco-Paramo… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Using cellular networks for providing machine-to-machine (M2M) connectivity offers
numerous advantages regarding coverage, deployment costs, security and management …
numerous advantages regarding coverage, deployment costs, security and management …
A hybrid grant NOMA random access for massive MTC service
N Zhang, X Zhu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) is classified into grant-based (GB) random access
(RA) and grant-free (GF) RA in 5G systems. GF NOMA RA allows user equipments (UE) to …
(RA) and grant-free (GF) RA in 5G systems. GF NOMA RA allows user equipments (UE) to …
IoT traffic shaping and the massive access problem
E Gelenbe, K Sigman - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
IoT gateways aim to meet the deadlines and QoS needs of packets from as many IoT
devices as possible, though this can lead to a form of congestion known as the Massive …
devices as possible, though this can lead to a form of congestion known as the Massive …
Dynamic backoff collision resolution for massive M2M random access in cellular IoT networks
HD Althumali, M Othman, NK Noordin… - IEEE Access, 2020 - ieeexplore.ieee.org
The deployment of machine-to-machine (M2M) communications on cellular networks
provides ubiquitous services to Internet-of-Things (IoT) systems. Cellular networks have …
provides ubiquitous services to Internet-of-Things (IoT) systems. Cellular networks have …
Deep reinforcement learning-based access class barring for energy-efficient mMTC random access in LTE networks
ATH Bui, AT Pham - IEEE Access, 2020 - ieeexplore.ieee.org
Long-Term Evolution (LTE) networks are expected to be a key enabler for the massive
Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized …
Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized …
Throughput optimization with delay guarantee for massive random access of M2M communications in industrial IoT
The machine-to-machine (M2M) communication is an emerging technology that is widely
utilized in a vast number of industrial Internet-of-Things (IIoT) applications. Due to the …
utilized in a vast number of industrial Internet-of-Things (IIoT) applications. Due to the …
Resource-optimized recursive access class barring for bursty traffic in cellular IoT networks
A massive number of Internet-of-Things (IoT) and machine-to-machine (M2M)
communication devices generate various types of data traffic in cellular IoT networks …
communication devices generate various types of data traffic in cellular IoT networks …
Multiagent reinforcement learning meets random access in massive cellular internet of things
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 …
potential of interconnecting a large number of heterogeneous wireless devices. However, it …
[PDF][PDF] Mitigating the massive access problem in the internet of things
The traffic from the large number of IoT devices connected to the IoT is a source of
congestion known as the Massive Access Problem (MAP), that results in packet losses …
congestion known as the Massive Access Problem (MAP), that results in packet losses …