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A Centralised Wi-Fi Management Framework for D2D Communications in Dense Wi-Fi Networks

Seyedebrahimi, M, Raschella, A, Bouhafs, F, MacKay, M, Shi, Q and Eiza, MH (2016) A Centralised Wi-Fi Management Framework for D2D Communications in Dense Wi-Fi Networks. In: 2016 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING (CSCN) . (IEEE Conference on Standards for Communications and Networking (CSCN), 31 October 2016 - 02 November 2016, Berlin, GERMANY).

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Abstract

In Wi-Fi networks, Device-to-Device (D2D) communications aim to improve the efficiency of the network by supporting direct communication between users in close proximity. However, in a congested Wi-Fi network, establishing D2D connections through a locally managed self-organising approach will intensify the congestion and reduce the scalability of the solution. Therefore, a centralised management approach must be involved in orchestrating those actions to guarantee the sufficiency of D2D communications. In this paper, we propose a novel management framework for D2D communications in dense Wi-Fi networks. The proposed framework employs a Software-Defined Networking (SDN) based centralised controller in synergy with a novel Access Point (AP) channel assignment process. This framework is designed to proactively establish and manage D2D connections in Wi-Fi networks considering the available radio resources and the effect of the subsequent interference. Thus, improving the overall performance of the network and providing users with higher data rate. Through simulation, we validate the effectiveness of the proposed framework and demonstrate how D2D deployment considerably improves the Wi-Fi network efficiency especially when the data rate requirements are high. Furthermore, we show that our proposed framework achieves better performance than the widely deployed Least Congested Channel selection strategy (LCC).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Science & Technology; Technology; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications; Computer Science; Engineering; Channel Assignment; D2D mmmications; Optimisation; Radio Resource Management; SDN; Wi-Fi Networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
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Date Deposited: 07 Feb 2017 15:03
Last Modified: 13 Apr 2022 15:15
URI: https://researchonline.ljmu.ac.uk/id/eprint/5468
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