Enhanced cooperative access class barring and traffic adaptive radio resource management for M2M communications over LTE-A

Hsu, Yi-Huai; Wang, Kuochen; Tseng, Yu–Chee

doi:10.1109/apsipa.2013.6694243

Cited by 21 publications

(14 citation statements)

References 8 publications

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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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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 base station assigns resources to a given cluster every period that is equal to (1/arrival rate). In [13], a similar grouping algorithm is suggested, but it is based on packet arrival and packet size to upload. Each cluster gets a fixed number of PRBs every (1/arrival rate * packet size) to take real traffic load into consideration.…”

Section: Related Workmentioning

confidence: 99%

“…This algorithm is application-specific for Wireless Sensor Networks (WSN) or cascaded alarming systems. Delay has more priority than channel [8] QoS Dedicated QoS class is defined by delay and bit rate [9] Delay Hybrid Classes based on delay [10] Channel, Utlity Hybrid Utility is based on required bit rate [11] Fairness, QoS, Channel Hybrid QoS class is defined by delay and bit rate [12] Packet Arrival N/A* Groups based on packet arrival and jitter [13] Packet Arrival, Data Size Dedicated Groups based on packet arrival and data size [14] Delay …”

Section: Related Workmentioning

confidence: 99%

BAT: A Balanced Alternating Technique for M2M Uplink Scheduling over LTE

Elhamy

Gadallah

2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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Machine-to-Machine (M2M) scheduling over Long Term Evolution (LTE) networks is an essential research area for future communications. This is due to the strong expectations that M2M communications will be a main element of the overall traffic over 5G networks. The diversity of M2M applications strongly motivates studying the problem of resource allocation in the uplink direction where the M2M traffic is dominant. M2M communications impose requirements that differ from those required by Human-to-Human (H2H) communications. We present a classification of M2M scheduling techniques from the perspective of these requirements. We then propose an M2M uplink scheduling algorithm that offers a balance between throughput and delay requirements. It is also adaptive to traffic characteristics since it considers both channel state and system deadlines in an adjustable manner according to network needs. Finally, we conduct experiments to compare the performance of the proposed technique to that of other schedulers that belong to the different M2M scheduler categories.

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“…The authors in [91] tried to improve the throughput of the ACB/EAB scheme for massive M2M device access over LTE-A network with the key objective of reducing the random access delay of the M2M device by means of an enhanced cooperative approach. In their work, the BS uses the total number of devices attached to it to establish the VOLUME 8, 2020 probability of an M2M device accessing the BS.…”

Section: ) Cooperative Acb With Adaptive Resource Managementmentioning

confidence: 99%

“…The access barring approach is applied in the classical DCF approach of an 802.11 network to support massive access by M2M devices in [92]. In a similar manner proposed in [91], the Barring Enhanced DCF (BE-DCF) proposed in [92] estimates the contention level which is used to establish a barring factor. Given the fact that the DCF operation is distributed, estimating the contention level based on the number of active devices is very complex.…”

Section: ) Barring-enhanced Dcfmentioning

confidence: 99%

Media Access Control in Large-Scale Internet of Things: A Review

2020

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The Media Access Control (MAC) serves as an imperative part of wireless communication networks which enables efficient provisioning of communication resources for device interconnectivity and ensures Quality of Service (QoS). The emergence of Large-Scale Internet of Things (LS-IoT) networks is characterised by a multi-domain distributed wireless communication network that provides end-to-end connectivity for a multitude of active heterogeneous Machine-to-Machine (M2M) devices. The nature of LS-IoT networks requires robust and scalable MAC protocols to manage concurrent, dynamic and massive media access and resource allocation. Several reviews have been conducted on MAC protocols with a handful of them focused on LS-IoT networks or massive M2M networks. In this paper, the characterisation of LS-IoT networks and the MAC component are extensively discussed delineating the impact of LS-IoT on the MAC. Emerging research issues on the MAC for LS-IoT networks including high collision probability, high control overheads, spectrum constraints, timing constraints, hardware constraints, energy consumption and hidden terminals are discussed. Some recently proposed solutions in literature for enhancing the MAC in LS-IoT networks are discussed under LS-IoT specific MAC protocol enhancement classifications. The contributions and drawbacks of the recent solutions in literature are discussed and summarised. The Future direction that is oriented towards the use of virtualisation within the framework of Network Function Virtualisation (NFV) and Software-Defined Networking (SDN) approaches is proposed. This is aimed at providing a dynamic distributed multidimensional MAC resource scaling approach for LS-IoT access network devices to ensure a robust and effective MAC for massive M2M devices in LS-IoT networks. INDEX TERMS Large-scale Internet of Things (LS-IoT), machine-to-machine (M2M) communication, media access control (MAC), wireless networks.

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Enhanced cooperative access class barring and traffic adaptive radio resource management for M2M communications over LTE-A

Cited by 21 publications

References 8 publications

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

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

BAT: A Balanced Alternating Technique for M2M Uplink Scheduling over LTE

Media Access Control in Large-Scale Internet of Things: A Review

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