A Comprehensive Distributed Queue-Based Random Access Framework for mMTC in LTE/LTE-A Networks With Mixed-Type Traffic

Bui, Anh-Tuan H.; Nguyen, Chuyen T.; Thang, Truong Cong; Pham, Anh T.

doi:10.1109/tvt.2019.2949024

Cited by 28 publications

(17 citation statements)

References 35 publications

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“…Although this modified RAP is our paper's highlight, it remains unclear how contentions (preamble and Msg3 collisions) are handled, how an SBS knows if its scMTDs are not yet fully resolved so that it may continue requesting for PUSCH resources, and how the scMTDs of an SBS know in which RAO the SBS sends a preamble so that they can monitor the RARs accordingly. In the following part, we describe an existing DQ-based contention resolution protocol [29] to provide an answer to the mentioned ambiguities.…”

Section: A the Lte Random Access Proceduresmentioning

confidence: 99%

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Small-Cell Assisted Group Paging for Massive MTC in LTE Networks: Design and Analysis

et al. 2021

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Long-Term Evolution cellular networks are the main enabler for the massive Machine-Type Communications service and therefore must handle a large number of Machine-Type Devices (MTDs). To control the number of devices allowed to contend on the Physical Random Access Channel (PRACH), the group paging scheme that divides the MTDs into smaller groups and lets the network sequentially trigger the groups has been studied. However, as the number of PRACH preambles is limited, a group's size must be kept relatively small compared to the MTD population. This paper exploits the possibility that a significant portion of the MTDs is also covered by densely deployed small-cells such that a Small-cell Base Station (SBS) may act as a representative for its MTDs during the preamble transmission step to reduce the load on PRACH. Once the SBS succeeds, its MTDs then contend locally to send their own signaling messages on the corresponding reserved uplink resources. Computer simulations show that the manageable group size can be significantly increased at a reasonable cost on the Physical Uplink Shared Channel. A theoretical model to quickly predict the effect of the ratio of MTDs that are under the coverage of the SBSs is also derived and verified.

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Section: A the Lte Random Access Proceduresmentioning

confidence: 99%

“…Readers are referred to section III-A of[29] for details about the MAClayer estimation method6 VOLUME 4, 2016…”

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confidence: 99%

Small-Cell Assisted Group Paging for Massive MTC in LTE Networks: Design and Analysis

et al. 2021

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“…A traffic prioritization method in LTE networks with the DQ protocol is introduced in [14]. The authors showed that the length of the CRQ could be used to retrieve relevant information about network congestion.…”

Section: Dq In Lte Networkmentioning

confidence: 99%

“…Most of the studies reviewed have been found to put an emphasis on the evaluation of these four performance metrics: the access delay [3]- [5], [9], [10], [12]- [16], the throughput [2]- [6], [15], [16], the energy consumption [2], [3], [5], [8], [14], and the number of attempts per node [3], [4], [10], [11]. Besides, it is a fact that the algorithm outperforms the Aloha-based schemes in terms of those performance metrics.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Nibitanga¹,

Mwangi²,

Ndungu³

2020

EAI Endorsed Trans IoT

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Most of the networks deployed for massive IoT communications use Aloha-based algorithms for channel access. However, those algorithms are known to be unstable and inefficient when the network size is high. Since recently, a Distributed Queuing (DQ) algorithm is being proposed as a solution to mitigate several of the Aloha issues in IoT networks. In this paper, a statistical performance analysis of the DQ algorithm without any prior consideration of any physical layer is presented. We evaluate the DQ algorithm in a massive communication environment and give the average values for these performance metrics: collision resolution time, access delay per sensor, channel throughput, number of attempts required by a sensor to complete the contention process, number of nodes contending per frame and the distribution of contention slots into idle, successful, and collided. The goal of this paper is to provide a statistical baseline performance evaluation of the DQ algorithm in general.

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“…On the other hand, LTE was originally designed to support a limited number of human‐based devices (human‐to‐human [H2H] traffic), which is completely different from M2M traffic. H2H traffic can tolerate initial access delay but require short transmission delay 1 …”

Section: Introductionmentioning

confidence: 99%

Traffic load access barring scheme for random‐access channel in massive machine‐to‐machine and human‐to‐human devices coexistence in LTE‐A

Shukry

Fahmy

2021

Int J Communication

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Summary A major challenge for the development of the upcoming generations of wireless systems is to match the massive expansion of the Internet of things (IoT) applications along with the traditional human communication. Recently, 3rd Generation Partnership Project (3GPP) has suggested the use of LTE‐A to support machine‐to‐machine (M2M) communications to realize the IoT applications. One of the key concerns is the random‐access procedure in LTE‐A, the existence of a massive number of M2M devices results in system overload and congestion in the random‐access channel (RACH). In this paper, we present a new extension to the active barring‐based random‐access scheme. The proposed traffic load access barring (TLAB) RACH access scheme considers the dynamic changes in system traffic when setting the barring information. At the same time, the proposed scheme avoids unnecessary barring of some M2M devices. Our scheme improves the access delay that results from the barring of M2M devices by applying a new rule in the selection of classes to bar and classes to unbar. The simulation results show the superiority of our scheme in terms of success probability, average access delay, and average power consumption.

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A Comprehensive Distributed Queue-Based Random Access Framework for mMTC in LTE/LTE-A Networks With Mixed-Type Traffic

Cited by 28 publications

References 35 publications

Small-Cell Assisted Group Paging for Massive MTC in LTE Networks: Design and Analysis

Small-Cell Assisted Group Paging for Massive MTC in LTE Networks: Design and Analysis

Statistical Analysis of a Distributed Queuing Random Access Protocol in a Massive Communication Environment

Traffic load access barring scheme for random‐access channel in massive machine‐to‐machine and human‐to‐human devices coexistence in LTE‐A

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