Next Article in Journal
Analysis and Optimization of the Coordinated Multi-VSG Sources
Next Article in Special Issue
Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks
Previous Article in Journal
Codebook-Aided DOA Estimation Algorithms for Massive MIMO System
Previous Article in Special Issue
Power Consumption Analysis of Bluetooth Low Energy Commercial Products and Their Implications for IoT Applications
Article Menu

Export Article

Open AccessArticle
Electronics 2019, 8(1), 27; https://doi.org/10.3390/electronics8010027

Filtering Methods for Efficient Dynamic Access Control in 5G Massive Machine-Type Communication Scenarios

Instituto ITACA, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Received: 7 December 2018 / Revised: 20 December 2018 / Accepted: 23 December 2018 / Published: 26 December 2018
(This article belongs to the Special Issue IoT in 5G)
Full-Text   |   PDF [735 KB, uploaded 26 December 2018]   |  

Abstract

One of the three main use cases of the fifth generation of mobile networks (5G) is massive machine-type communications (mMTC). The latter refers to the highly synchronized accesses to the cellular base stations from a great number of wireless devices, as a product of the automated exchange of small amounts of data. Clearly, an efficient mMTC is required to support the Internet-of-Things (IoT). Nevertheless, the method to change from idle to connected mode, known as the random access procedure (RAP), of 4G has been directly inherited by 5G, at least, until the first phase of standardization. Research has demonstrated the RAP is inefficient to support mMTC, hence, access control schemes are needed to obtain an adequate performance. In this paper, we compare the benefits of using different filtering methods to configure an access control scheme included in the 5G standards: the access class barring (ACB), according to the intensity of access requests. These filtering methods are a key component of our proposed ACB configuration scheme, which can lead to more than a three-fold increase in the probability of successfully completing the random access procedure under the most typical network configuration and mMTC scenario. View Full-Text
Keywords: access class barring (ACB); adaptive algorithms; Internet-of-Things (IoT); massive machine-type communication (mMTC); recursive-least squares (RLS) algorithm access class barring (ACB); adaptive algorithms; Internet-of-Things (IoT); massive machine-type communication (mMTC); recursive-least squares (RLS) algorithm
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Leyva-Mayorga, I.; Rodriguez-Hernandez, M.A.; Pla, V.; Martinez-Bauset, J. Filtering Methods for Efficient Dynamic Access Control in 5G Massive Machine-Type Communication Scenarios. Electronics 2019, 8, 27.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top