QoS Aware Radio Access Technology Selection Framework in Heterogeneous Networks using SDN

Raschella, A, Bouhafs, F, Deepak, GC and MacKay, M (2017) QoS Aware Radio Access Technology Selection Framework in Heterogeneous Networks using SDN. Journal of Communications Networks, 19 (6). pp. 577-586. ISSN 1229-2370

[thumbnail of JCN_LJMU.pdf]
Preview
Text
JCN_LJMU.pdf - Accepted Version

Download (682kB) | Preview

Abstract

This paper addresses the problem of radio access technology (RAT) selection in heterogeneous networks (HetNets). Current approaches rely on signal related metrics such as signal to interference plus noise ratio (SINR) for selection of the best network for the wireless user. However, such approaches do not take into account the quality of service (QoS) requirements of wireless users and therefore often do not connect them to the most suitable network. We propose a QoS aware RAT selection framework for HetNets based on software-defined networking (SDN). The proposed framework implements a RAT selection strategy that reflects QoS requirements of downlink flows using a metric called fittingness factor (FF). The framework relies on the flexibility and centralised nature of SDN to implement monitoring and RAT capacity assessment mechanisms that help in the realisation of the selection strategy. The simulation campaign illustrates the important gains achieved by our RAT selection framework in terms of data rates assigned to the wireless users, their satisfaction, and their quality of experience (QoE) compared against other state of the art RAT selection solutions.

Item Type: Article
Uncontrolled Keywords: 1005 Communications Technologies, 0805 Distributed Computing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science and Mathematics
Publisher: IEEE
Related URLs:
Date of acceptance: 5 October 2017
Date of first compliant Open Access: 13 February 2018
Date Deposited: 13 Feb 2018 10:45
Last Modified: 04 Sep 2021 10:46
DOI or ID number: 10.1109/JCN.2017.000098
URI: https://ljmu-9.eprints-hosting.org/id/eprint/8003
View Item View Item