Proceedings ArticleDOI
Dynamic access class barring for M2M communications in LTE networks
Suyang Duan,Vahid Shah-Mansouri,Vincent W. S. Wong +2 more
- pp 4747-4752
TLDR
An analytical model is presented to determine the expected total access delay of all the MTC devices and a heuristic algorithm is proposed to adaptively change the ACB factor without the knowledge of the number of backlogged users to achieve near optimal performance in reducing access delay.Abstract:
When incorporating machine-to-machine (M2M) communications into Long Term Evolution (LTE) networks, one of the challenges is the traffic overload due to a large number of machine type communications (MTC) devices with bursty traffic. One approach to tackle this problem is to use the access class barring (ACB) mechanism to regulate the opportunity of MTC devices to transmit request packets. In this paper, we first present an analytical model to determine the expected total access delay of all the MTC devices. For the ideal case that the LTE base station (eNodeB) knows the number of backlogged users, we determine the optimal value of the ACB factor, which can best reduce the congestion and access delay. For the practical scenario, we propose a heuristic algorithm to adaptively change the ACB factor without the knowledge of the number of backlogged users. Results show that the proposed heuristic algorithm achieves near optimal performance in reducing access delay.read more
Citations
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Journal ArticleDOI
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions
TL;DR: In this paper, the authors present a framework for the performance analysis of transmission scheduling with the QoS support along with the issues involved in short data packet transmission in the mMTC scenario and provide a detailed overview of the existing and emerging solutions toward addressing RAN congestion problem.
Journal ArticleDOI
Optimal Access Class Barring for Stationary Machine Type Communication Devices With Timing Advance Information
Zehua Wang,Vincent W. S. Wong +1 more
TL;DR: This paper proposes a scheme that uses both access class barring (ACB) and timing advance information to prevent random access overload in M2M systems and forms an optimization problem to determine the optimal ACB parameter, which maximizes the expected number of MTC devices successfully served in each random access slot.
Journal ArticleDOI
Joint Access Control and Resource Allocation for Concurrent and Massive Access of M2M Devices
TL;DR: A joint optimal physical random access channel (PRACH) resource allocation and access control mechanism to address the performance degradation caused by concurrent and massive access attempts of MTCDs in LTE systems is proposed.
Journal ArticleDOI
Radio Resource Management in Machine-to-Machine Communications—A Survey
TL;DR: A comprehensive survey on state-of-the-art research activities on RRM for machine-type communications in LTE/LTE-A cellular networks including access control, radio resource allocation, power management, and the latest 3GPP standards supporting M2M communications.
Journal ArticleDOI
Recursive Pseudo-Bayesian Access Class Barring for M2M Communications in LTE Systems
TL;DR: Numerical results show that the proposed Bayesian ACB algorithms yield quite similar performance with the ideal ACB algorithm, assuming that the exact number of active devices is known to the eNodeB.
References
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Book
LTE - The UMTS Long Term Evolution: From Theory to Practice
TL;DR: Scrase et al. as discussed by the authors provide a comprehensive system-level understanding of LTE, built on explanations of the theories which underlie it, and provide a broad, balanced and reliable perspective on this important technology Lucid yet thorough, the book devotes particular effort to explaining the theoretical concepts in an accessible way.
Journal ArticleDOI
M2M: From mobile to embedded internet
TL;DR: The business motivations and technology challenges for machine-to-machine communications and the future directions of air interface technology improvements and network architectures evolution to enable the mass deployment of M2M services are discussed.
Book
Introduction to Combinatorial Analysis
TL;DR: The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press as discussed by the authors, and these paperback editions preserve the original texts of these important books while presenting them in durable paperback editions.
BookDOI
Handbook of Beta Distribution and Its Applications
TL;DR: In this paper, the authors present an approach to the problem of characterisation of particles in the context of algebraic functions and limit theorems, and show that it is NP-hard.