Dynamic Adaptive Access Barring Scheme For Heavily Congested M2M Networks

Bouzouita, Meriam; Hadjadj‐Aoul, Yassine; Tunisia, Nawel Zangar; Rubino, Gerardo; Tabbane, Sami

doi:10.1145/2988287.2989174

Cited by 4 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technique consists in assigning an access probability to the various devices, which may enable the support of slicing in this type of access network [14]. In fact, it is simply a matter of finding different access probabilities for each class of service or slice, which allows for a more refined sharing of the network [15].…”

Section: Related Workmentioning

confidence: 99%

A Frequency-Based Intelligent Slicing in LoRaWAN with Admission Control Aspects

Dandachi

Hadjadj‐Aoul

2022

Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International

Self Cite

View full text Add to dashboard Cite

The significant deployment of LoRaWan networks is increasingly questioning its ability to handle massive numbers of IoT devices and its ability to support service differentiation. The few existing attempts to implement service differentiation suffer from a lack of scalability and do not meet the qualitative criteria of the services, since without admission control there is no way to restrain the devices from transmitting. In this paper, we present a scalable probabilistic approach that not only enables an efficient sharing of LoRaWan access networks between different services/slices, but more importantly allows achieving the objectives of the supported services through the integration of an admission control. Since the derivation of devices' repartition probabilities is a very complex problem, we propose an evolutionary algorithm to derive them efficiently. The obtained results clearly show the ability of the proposed solution to efficiently utilize the scarce radio resources, while achieving the qualitative objectives of the prioritized services.

show abstract

Section: Related Workmentioning

confidence: 99%

A Frequency-Based Intelligent Slicing in LoRaWAN with Admission Control Aspects

Dandachi

Hadjadj‐Aoul

2022

Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, the number of IoT devices that succeeded at the access, knowing the probability of blocking, makes it possible to have an indicator on the number of terminals that wanted to attempt access. In this paper, we proposed a dynamic adaptive access barring scheme for heavily congested M2M networks . The main idea behind this paper is to, first, determine the optimal number of devices that should attempt access and, then, to propose a system model‐agnostic controller, which adapts the blocking probability based on the mismatch existing between the calculated and the targeted number of successes (ie, optimal one).…”

Section: Related Workmentioning

confidence: 99%

“…Our model for IoT devices' RA with multiple EAB factors (ie, one factor per class) is influenced by the single‐class system model that we have proposed in our previous work …”

Section: A Model Of Access For Multiclass Iot Devicesmentioning

confidence: 99%

“…In this paper, we propose new extensions and substantial improvements of our previous work. They are summarized in the following points: we offer a detailed and up‐to‐date state of the art; we extend our previous simple fluid model, which represents only one class of traffic, to study the access of multiclass IoT devices into a mobile network; we refine our initial estimate of the number of terminals, from the different classes of IoT traffic, that have attempted the access; we propose an estimation of the number of devices of different classes willing to connect. To the best of our knowledge, this is the first work in the literature addressing this issue. …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating the number of contending IoT devices in 5G networks: Revealing the invisible

Bouzouita

Hadjadj‐Aoul

Zangar

et al. 2018

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

The explosive growth of connected objects is certainly one of the most important challenges facing operators' network infrastructures. Although it has been foreseen for a very long time, it is still not clear how to support such huge number of devices efficiently. Indeed, although a smarter planning of dedicated access slots would certainly limit the burden, this remains limited since some equipments react to events, which cannot be timed. Moreover, barring some IoT devices from accessing the network, using Access Class Barring–like techniques, is very efficient; nevertheless, efficiency is generally linked to precise knowledge of the number of contending devices. Although, before connection establishment, the terminals are invisible to access points, it is very difficult to estimate their number. A lower bound of backlogged devices can be determined. The average number of terminals can even be estimated with more or less precision, as this kind of problems comes to the classical “balls‐into‐bins” problem, which was extensively analyzed in the literature. However, an overestimation of this number implies underutilization of resources whereas an underestimation may lead to a congestion collapse. In this way, we propose a lightweight change to the standard to accurately reveal the state of network congestion by overloading connections' requests with the number of access attempts (number of times the device has been barred as well as the number of attempts). Using such information, we propose an accurate recursive estimator of the number of devices. The obtained results demonstrated that the proposed solution not only makes it possible to estimate the number of equipment much better than existing techniques but also allows determining precisely the number of blocked equipments.

show abstract