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Radio resource management in machine-to-machine communications—A survey
In futuristic wireless communications, a massive number of devices need to access networks
with diverse quality of service (QoS) requirements. It is estimated that the number of …
with diverse quality of service (QoS) requirements. It is estimated that the number of …
Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications
In this paper, the efficient deployment and mobility of multiple unmanned aerial vehicles
(UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) …
(UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) …
A survey of random access control techniques for machine-to-machine communications in LTE/LTE-A networks
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 …
Contention-based access for ultra-reliable low latency uplink transmissions
We consider a sporadic ultra-reliable and low latency communications in the uplink 5G
cellular systems. Reliable low latency access for randomly emerging packet transmission …
cellular systems. Reliable low latency access for randomly emerging packet transmission …
Recursive pseudo-Bayesian access class barring for M2M communications in LTE systems
Commercial long-term evolution (LTE) systems adopt an access class barring (ACB)
mechanism in the initial random access procedure with multiple preambles in order to …
mechanism in the initial random access procedure with multiple preambles in order to …
Performance analysis and optimal access class barring parameter configuration in LTE-A networks with massive M2M traffic
Over the coming years, it is expected that the number of machine-to-machine (M2M) devices
that communicate through long term evolution advanced (LTE-A) networks will rise …
that communicate through long term evolution advanced (LTE-A) networks will rise …
Reinforcement learning-based ACB in LTE-A networks for handling massive M2M and H2H communications
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 …
Learning automata-based access class barring scheme for massive random access in machine-to-machine communications
C Di, B Zhang, Q Liang, S Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The machine-to-machine (M2M) communications, which achieve the implementation of
Internet of Things (IoT), can be carried over wireless cellular networks. The massive random …
Internet of Things (IoT), can be carried over wireless cellular networks. The massive random …
Lower bounds on the LTE-A average random access delay under massive M2M arrivals
M Koseoglu - IEEE Transactions on Communications, 2016 - ieeexplore.ieee.org
Rapid growth of machine-to-machine (M2M) communications necessitates the reevaluation
of the Long Term Evolution-Advanced (LTE-A) performance, since the current standard is …
of the Long Term Evolution-Advanced (LTE-A) performance, since the current standard is …
Energy-efficient mac for cellular IoT: state-of-the-art, challenges, and standardization
In the modern world, the connectivity-as-we-go model is gaining popularity. Internet-of-
Things (IoT) envisions a future in which human beings communicate with each other and …
Things (IoT) envisions a future in which human beings communicate with each other and …