Loading prediction and barring controls for machine type communication

Chou, Chie Ming; Huang, Ching Yao; Chiu, Chian‐Song

doi:10.1109/icc.2013.6655404

Cited by 24 publications

(11 citation statements)

References 8 publications

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“…Lien et al in [19] propose a cooperative ACB scheme to control the ACB parameters on multiple eNBs to serve MTC devices efficiently. Chou et al in [20] propose to estimate the ACB parameters by predicting the number of MTC devices requiring random access. Duan et al in [21] propose to dynamically update the ACB parameter based on the number of packet collisions occurred in the past.…”

Section: Discrete Correlationmentioning

confidence: 99%

Optimal Access Class Barring for Stationary Machine Type Communication Devices With Timing Advance Information

Wang

Wong

2015

IEEE Trans. Wireless Commun.

124

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The current wireless cellular networks can be used to provide machine-to-machine (M2M) communication services. However, the Long Term Evolution (LTE) networks, which are designed for human users, may not be able to handle a large number of bursty random access requests from machine-type communication (MTC) devices. In this paper, we propose a scheme that uses both access class barring (ACB) and timing advance information to prevent random access overload in M2M systems. We formulate an optimization problem to determine the optimal ACB parameter, which maximizes the expected number of MTC devices successfully served in each random access slot. Hence, the number of random access slots required to serve all MTC devices can be minimized. To reduce the computational complexity and improve the practicability of the proposed scheme, we propose a closed-form approximate solution to the optimization problem and present an algorithm to estimate the number of active MTC devices requiring access in each random access slot. The correctness of the analytical model and the accuracy of the estimation algorithm are validated via simulations. Results show that both numerical and approximate solutions provide the same performance. Our proposed scheme can reduce nearly half of the random access slots required to serve all MTC devices compared to the existing schemes, which use timing advance information only, ACB only, or cooperative ACB.Index Terms-Machine type communications, LTE random access, random access overload.

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Section: Discrete Correlationmentioning

confidence: 99%

Optimal Access Class Barring for Stationary Machine Type Communication Devices With Timing Advance Information

Wang

Wong

2015

IEEE Trans. Wireless Commun.

124

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“…In ACB, among the MTC UEs belonging to the same AC, some UEs are barred while others are not whereas in EAB, UEs belong to the same group are either completely barred or unbarred. Authors in [35] proposed an algorithm to determine a barring factor of EAB, which depends on predicting the future RA attempt number P 0 .t/ and upper bound constraint on new RA attempt number P bound .t/. Once eNB decides the barring factor BF.t/ D P bound .t/=P 0 .t/, it will send paging message to inform MTC devices.…”

Section: Congestion Control Methods Applied To the Core Networkmentioning

confidence: 99%

Congestion and overload control techniques in massive M2M systems: a survey

Ferdouse

Anpalagan

Misra

2015

Trans. Emerging Tel. Tech.

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Smart applications, Internet of things, cloud computing technologies are becoming connected together by autonomous and intelligent devices. Communication among those devices, called machine‐type communication (MTC) can be done through cellular networks. A cellular network typically handles both voice and data traffic. Cellular based machine‐to‐machine (M2M) communication utilises cellular infrastructure to convey their information among MTC devices. Although MTC devices generate small amount of data traffic, massive amount of MTC devices create overload problem which hugely impacts the radio access and core networks of the cellular system. This article discusses M2M systems, its various applications, architectural requirements, functionalities, services and features from congestion and overload control point of view. In particular, a survey of congestion control problem in M2M systems and its various solutions are discussed in this article. Copyright © 2015 John Wiley & Sons, Ltd.

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“…For instance, cooperation among several cells to improve access barring performance has been examined in [18] and [19]. Within a given cell, a feedback control mechanism that selectively bars UE requests according to the congestion level has been proposed in [20], whereas load prediction to control barring has been examined in [21].…”

Section: Background and Related Workmentioning

confidence: 99%

Connection Establishment in LTE-A Networks: Justification of Poisson Process Modeling

Tyagi

Аурзада

Lee

et al. 2017

IEEE Systems Journal

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The connection establishment in Long-Term Evolution Advanced (LTE-A) is often executed for distributed user equipment (UE) nodes with frequent small data sets for transmission to the central enhanced Node B. LTE-A connection establishment consists mainly of an access barring check (ABC) followed by preamble transmission (contention). Previous studies of connection establishment have often assumed Poisson characteristics (without verifying the Poisson assumption). In this paper, we introduce a simple equilibrium analysis framework for comprehensively evaluating the LTE-A connection establishment, including both access barring and preamble contention. We conduct a detailed analysis of the backlog arising from the uniform backoff over up to T max o slots by UE requests that failed the barring check or collided in the preamble contention. We verify that the process representing the numbers of backlogged UE requests rejoining the connection establishment tends to Poisson process characteristics for high barring probability and long maximum timeout T max o . We present numerical comparisons of our equilibrium model with simulations for practical parameter settings. The comparisons illustrate the effects of the parameter settings on the convergence of the LTE-A connection establishment dynamics to Poisson characteristics for nonsynchronized and synchronized request arrivals. Index Terms-Access barring check (ABC), backlog model, Long-Term Evolution Advanced (LTE-A), Markov modulated poisson process, Poisson process, preamble contention, uniform backoff.

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Loading prediction and barring controls for machine type communication

Cited by 24 publications

References 8 publications

Optimal Access Class Barring for Stationary Machine Type Communication Devices With Timing Advance Information

Optimal Access Class Barring for Stationary Machine Type Communication Devices With Timing Advance Information

Congestion and overload control techniques in massive M2M systems: a survey

Connection Establishment in LTE-A Networks: Justification of Poisson Process Modeling

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