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

Abstract

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).

Dynamic Transmission and Delay Optimization Random Access for Reduced Power Consumption

“…Finally, advances in preamble detection and the redesign of RA procedures are specifically addressed in [26]- [31]. These studies focus on improving detection efficiency and system accessibility.…”

“…In particular, [30] integrates machine learning algorithms such as Decision Tree Classification, Naive Bayes and K-Nearest Neighbor to improve system efficiency, especially in scenarios where multiple devices share the same preamble. Finally, [31] explores the use of device-to-device (D2D) communication to facilitate network access, demonstrating its effectiveness in collision reduction and delay minimization, while identifying the need for further improvements in energy efficiency.…”

Distributed Group Location Update Algorithm for Massive Machine Type Communication

“…Recently, the Internet of Things (IoT) has been rapidly adopted all over the world [ 1 , 2 , 3 ]. Because of this explosive popularity, massive machine type communication (mMTC) has been defined as one of main communication types in 5G networks [ 4 , 5 , 6 ]. One of the primary application scenarios of mMTC is intelligent transportation systems (ITSs) [ 7 , 8 , 9 , 10 ], where many IoT devices (e.g., GPS devices and various types of sensors) are deployed in vehicles.…”