Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks

Vilgelm, Mikhail; Linares, Sergio Rueda; Kellerer, Wolfgang

doi:10.1109/jiot.2019.2912424

Cited by 27 publications

(6 citation statements)

References 42 publications

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“…Use cases have different attributes, such as ultra-high bandwidth use cases, very low-latency use cases, ultra-reliable low-latency use cases, high-bandwidth use cases and massive IoT use cases. Massive IoT [25] is one of the most anticipated use cases of the 5G network and will require the sliced form of the 5G network. It uses the sliced 5G network to seamlessly connect different embedded sensors all over the world.…”

Section: Use Casesmentioning

confidence: 99%

Network slicing: a next generation 5G perspective

Subedi

Alsadoon

Prasad

et al. 2021

J Wireless Com Network

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Fifth-generation (5G) wireless networks are projected to bring a major transformation to the current fourth-generation network to support the billions of devices that will be connected to the Internet. 5G networks will enable new and powerful capabilities to support high-speed data rates, better connectivity and system capacity that are critical in designing applications in virtual reality, augmented reality and mobile online gaming. The infrastructure of a network that can support stringent application requirements needs to be highly dynamic and flexible. Network slicing can provide these dynamic and flexible characteristics to a network architecture. Implementing network slicing in 5G requires domain modification of the preexisting network architecture. A network slicing architecture is proposed for an existing 5G network with the aim of enhancing network dynamics and flexibility to support modern network applications. To enable network slicing in a 5G network, we established the virtualisation of the underlying physical 5G infrastructure by utilising technological advancements, such as software-defined networking and network function virtualisation. These virtual networks can fulfil the requirement of multiple use cases as required by creating slices of these virtual networks. Thus, abstracting from the physical resources to create virtual networks and then applying network slicing on these virtual networks enable the 5G network to address the increased demands for high-speed communication.

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Section: Use Casesmentioning

confidence: 99%

Network slicing: a next generation 5G perspective

Subedi

Alsadoon

Prasad

et al. 2021

J Wireless Com Network

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“…If the generated number is equal or smaller than the access probability sent by the gNB, the devices can access the network. Once the devices are allowed to access the network, they select one of the preambles sent by the gNB in the PRACH configuration message [ 20 ]. The devices transmit the selected preamble to the gNB in a message called MSG1 .…”

Section: Nr Random-access Proceduresmentioning

confidence: 99%

Random-Access Accelerator (RAA): A Framework to Speed Up the Random-Access Procedure in 5G New Radio for IoT mMTC by Enabling Device-To-Device Communications

Medel

Brito

2020

Sensors

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Mobile networks have a great challenge by serving the expected billions of Internet of Things (IoT) devices in the upcoming years. Due to the limited simultaneous access in the mobile networks, the devices should compete between each other for resource allocation during a Random-Access procedure. This contention provokes a non-depreciable delay during the device’s registration because of the great number of collisions experienced. To overcome such a problem, a framework called Random-Access Accelerator (RAA) is proposed in this work, in order to speed up network access in massive Machine Type Communication (mMTC). RAA exploits Device-To-Device (D2D) communications, where devices with already assigned resources act like relays for the rest of devices trying to gain access in the network. The simulation results show an acceleration in the registration procedure of 99%, and a freed space of the allocated spectrum until 74% in comparison with the conventional Random-Access procedure. Besides, it preserves the same device’s energy consumption compared with legacy networks by using a custom version of Bluetooth as a wireless technology for D2D communications. The proposed framework can be taken into account for the standardization of mMTC in Fifth-Generation-New Radio (5G NR).

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“…The simulation results show that this scheme is efficient in reducing the collision rate and the access delay for M2M systems. Furthermore, a binary countdown scheme has been proposed to resolve the RACH collisions in 5G networks [23]. In this scheme, additional resources are allocated for the collided devices prior to the third step of the random access procedure.…”

Section: Related Workmentioning

confidence: 99%

“…. (23) Note that the value of p in ACB scheme is a random number between 0 and 1. However, according to Duan et al [4], the optimal value of p for DAB scheme is:…”

mentioning

confidence: 99%

Dynamic Backoff Collision Resolution for Massive M2M Random Access in Cellular IoT Networks

et al. 2020

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The deployment of machine-to-machine (M2M) communications on cellular networks provides ubiquitous services to Internet-of-Things (IoT) systems. Cellular networks have been chosen as the best infrastructure for M2M communications due to the wide coverage and spectral efficiency. However, with the increased number of devices connecting to the network, massive number of devices are expected to simultaneously access the network resources. This massive access results in excessive congestion and collisions in the random access channel (RACH) which causes major degradation in systems performance. This paper focuses on resolving the RACH collisions during the massive access scenarios for cellular M2M communications. We propose a collision resolution scheme using the backoff procedure which dynamically adjusts the backoff indicator (BI) based on the number of backlog devices and the available resources. The proposed scheme is integrated with three well-known random access schemes; standard random access (SRA), static access class barring (ACB) and dynamic access class barring (DAB). Furthermore, the paper presents an analysis for access success probability based on the dynamic backoff procedure. The optimal value of BI that achieves the highest access success probability is derived for the three different schemes. The analysis and simulation results indicate that the dynamic value of BI achieves approximately 99.9% access success rate with a slight increase in access delay of around 10%, which is considered a reasonable increment for delay-tolerant applications during the massive arrivals scenarios.

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Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks

Cited by 27 publications

References 42 publications

Network slicing: a next generation 5G perspective

Network slicing: a next generation 5G perspective

Random-Access Accelerator (RAA): A Framework to Speed Up the Random-Access Procedure in 5G New Radio for IoT mMTC by Enabling Device-To-Device Communications

Dynamic Backoff Collision Resolution for Massive M2M Random Access in Cellular IoT Networks

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