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Bouhafs, F, Seyedebrahimi, M, Raschella, A, MacKay, M and Shi, Q (2019) Per-Flow Radio Resource Management to Mitigate Interference in Dense IEEE 802.11 Wireless LANs. IEEE Transactions on Mobile Computing. ISSN 1536-1233
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Per-Flow Radio Resource Management to Mitigate Interference in Dense IEEE 802.11 Wireless LANs.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Current interference management solutions for dense IEEE 802.11 Wireless Local Area Networks (WLANs) rely on locally measuring the cumulative interference at the Acess Point (AP) in charge of adjusting the spectrum resources to its clients. These solutions often result in coarse-grained spectrum allocation that often leaves many wireless users unsatisfied and increases the spectrum congestion problem instead of easing it. In this paper we present a centralised interference management algorithm that treats the network-wide interference impact of each channel individually and allows the controller to adjust the radio resource of each AP while it is utilised. This coordinated allocation takes into account the Quality of Service (QoS) requirements of downlink flows while minimising its effect on neighbouring APs. Therefore, this paper proposes a novel approach for quantifying the interference impact of each employed channel and jointly addressing the user-side quality requirements and the network-side interference management. The algorithm is tailored for operator-agnostic Software-Defined Networking (SDN)-based Radio Resource Management (RRM) in dense Wireless Fidelity (Wi-Fi) networks and adopts a fine-grained per-flow approach. Simulation results show that our algorithm outperforms existing solutions in terms of reducing the overall interference, increasing the capacity of the wireless channel and improving the users’ satisfaction.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0805 Distributed Computing, 1005 Communications Technologies, 0906 Electrical and Electronic Engineering |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Date Deposited: | 05 Mar 2019 12:26 |
| Last Modified: | 04 Sep 2021 01:58 |
| DOI or ID number: | 10.1109/TMC.2019.2903465 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/10241 |
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