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Seyedebrahimi, M, Bouhafs, F, Raschella, A, MacKay, M and Shi, Q (2017) Fine-Grained Radio Resource Management to Control Interference in Dense Wi-Fi Networks. In: IEEE Wireless Communications and Networking Conference (WCNC) . (IEEE Wireless Communications and Networking Conference (WCNC), 19 March 2017 - 22 March 2017, San Francisco, CA).
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Abstract
In spite of the enormous popularity of Wi-Fienabled devices, the utilization of Wi-Fi radio resources (e.g. RF spectrum and transmission power levels) at Access Points (APs) is degraded in current decentralized Radio Resource Management (RRM) schemes. Most state of the art central control solutions apply configurations in which the network-wide impacts of the involved parameters and their mutual relationships are ignored. In this paper, we propose an algorithm for jointly adjusting the transmission power levels and optimizing the RF channel assignment of APs by taking into account the flows’ required qualities while minimizing their interference impacts throughout the network. The proposed solution is tailored for an operatoragnostic and Software Defined Wireless Networking (SDWN)- based centralised RRM in dense Wi-Fi networks. Our extensive simulation results validate the performance improvement of the proposed algorithm compared to the main state of the art alternative by showing more than 25% higher spectrum efficiency, satisfying the users’ demands and further mitigating the networkwide interference through a flow-based and quality-oriented power level adjustment.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Date Deposited: | 07 Feb 2017 15:41 |
| Last Modified: | 25 Jun 2024 13:50 |
| DOI or ID number: | 10.1109/WCNC.2017.7925886 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/5470 |
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