Skip to main content

IEEE 802.11ax Spatial Reuse Improvement: An Interference-Based Channel Access Algorithm.

Valkanis, A., Iossifides, A., Chatzimisios, P., Angelopoulos, C.M. and Katos, V., 2019. IEEE 802.11ax Spatial Reuse Improvement: An Interference-Based Channel Access Algorithm. IEEE Vehicular Technology Magazine, 14 (2), 78-84.

Full text available as:

VTM-2018-0154_Camera_Ready.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.


DOI: 10.1109/MVT.2019.2904101


Wi-Fi is the dominant way of connecting indoor mobile devices to the Internet. The main reason behind the huge adoption of this technology is the simplicity of IEEE 802.11 protocols which in turn offer low-cost ownership and maintenance combined with the ability to offer high data rates to end users. The increasing demand in traffic volumes leads to the continuous deployment of access points (APs) resulting in densification of the IEEE 802.11 networks. This fact, instead of enhancing the efficiency of wireless local area networks (WLANs) degrades their overall performance due to cochannel interference between overlapped basic services sets (OBSSs). One of the main goals of the under-development IEEE 802.11ax amendment is to address the WLAN densification problem by improving spatial reuse (SR). In this article we present and evaluate a channel access algorithm, which considers the expected interference that nodes will suffer by a concurrent transmission so to decide if transmission or defer will take place. It is shown that the proposed interference based dynamic channel algorithm (IB-DCA) offers significant SR performance gains comparing to the existing channel access algorithms, in terms of the station mean data rate, for all the stations in a IEEE 802.11ax dense deployment.

Item Type:Article
Uncontrolled Keywords:Throughput, Interference, Wireless LAN, Signal to noise ratio, Protocols
Group:Faculty of Science & Technology
ID Code:32242
Deposited By: Symplectic RT2
Deposited On:13 May 2019 08:35
Last Modified:14 Mar 2022 14:16


Downloads per month over past year

More statistics for this item...
Repository Staff Only -