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A survey of traffic issues in machine-to-machine communications over LTE
Machine-to-machine (M2M) communication, also referred to as Internet of Things (IoT), is a
global network of devices such as sensors, actuators, and smart appliances which collect …
global network of devices such as sensors, actuators, and smart appliances which collect …
Role of UAVs in public safety communications: Energy efficiency perspective
Unmanned aerial vehicles (UAVs) have acquired remarkable popularity, thanks to their
variety of applications in numerous domains spanning from surveillance, health to …
variety of applications in numerous domains spanning from surveillance, health to …
A decoupled learning strategy for massive access optimization in cellular IoT networks
Cellular-based networks are expected to offer connectivity for massive Internet of Things
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …
Traffic prediction and random access control optimization: Learning and non-learning-based approaches
Random access channel (RACH) procedures in modern wireless communications are
generally based on multi-channel slotted-ALOHA, which can be optimized by flexibly …
generally based on multi-channel slotted-ALOHA, which can be optimized by flexibly …
Hybrid collision avoidance-tree resolution for M2M random access
Wireless machine-to-machine (M2M) communication with synchronized traffic patterns plays
an important role in many aircraft systems. Recent research has separately examined …
an important role in many aircraft systems. Recent research has separately examined …
Efficient random-access scheme for massive connectivity in 3GPP low-cost machine-type communications
In order to facilitate low-cost network connection of many devices, machine-type
communication (MTC) has evolved to low-cost MTC (LC-MTC) in the third-generation …
communication (MTC) has evolved to low-cost MTC (LC-MTC) in the third-generation …
Deep reinforcement learning for discrete and continuous massive access control optimization
Cellular-based networks are expected to offer connectivity for massive Internet of Things
(mIoT) systems, however, their Random Access CHannel (RACH) procedure suffers from …
(mIoT) systems, however, their Random Access CHannel (RACH) procedure suffers from …
An energy-efficient DL-aided massive multiple access scheme for IoT scenarios in beyond 5G networks
In view of the challenges foreseen in futuristic massive IoT (mIoT) scenarios, characterized
by a huge deployment of energy-constrained IoT devices, we propose an efficient next …
by a huge deployment of energy-constrained IoT devices, we propose an efficient next …
Integrated 2–4 Step Random Access for Heterogeneous and Massive IoT Devices
Y Piao, TJ Lee - IEEE Transactions on Green Communications …, 2023 - ieeexplore.ieee.org
Since massive number of User Equipment (UE) s will cause more collisions and increase
delay, improved Random Access (RA) methods have been researched and proposed. With …
delay, improved Random Access (RA) methods have been researched and proposed. With …
A Dynamic Load Balancing Access Control Scheme for Massive IoT in Space-Terrestrial Integrated Network
T Hong, Y Ni, Z Li, L Xu, G Zhang - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
With the growth of Internet of Things (IoT) application demand, the Space Terrestrial
Integrated Network (STIN) is deemed a promising solution to provide global seamless …
Integrated Network (STIN) is deemed a promising solution to provide global seamless …