160 research outputs found
An optimization of network performance in IEEE 802.11ax dense networks
The paper focuses on the optimization of IEEE 802.11ax dense networks. The results were obtained with the use of the NS-3 simulator. Various network topologies were analyzed and compared. The advantage of using MSDU and MPDU aggregations in a dense network environment was shown. The process of improving the network performance for changes in the transmitter power value, CCA Threshold, and antenna gain was presented. The positive influence of BSS coloring mechanism on overal network efficiency was revealed. The influence of receiver sensitivity on network performance was determined
IEEE 802.11ax: challenges and requirements for future high efficiency wifi
The popularity of IEEE 802.11 based wireless local area networks (WLANs) has increased significantly in recent years because of their ability to provide increased mobility, flexibility, and ease of use, with reduced cost of installation and maintenance. This has resulted in massive WLAN deployment in geographically limited environments that encompass multiple overlapping basic service sets (OBSSs). In this article, we introduce IEEE 802.11ax, a new standard being developed by the IEEE 802.11 Working Group, which will enable efficient usage of spectrum along with an enhanced user experience. We expose advanced technological enhancements proposed to improve the efficiency within high density WLAN networks and explore the key challenges to the upcoming amendment.Peer ReviewedPostprint (author's final draft
An analysis of BSS coloring mechanism in IEEE 802.11ax dense networks
The paper presents an analysis of BSS coloring scheme defined in IEEE 802.11ax standard. The efficiency of dense networks for different scenarios was analyzed and compared. This analysis covers various topologies and work configurations through the use of multiple parameters of the PHY and MAC layers. A positive impact of the coloring mechanism on the QoS was observed. The study also analyzed the impact of the RTS/CTS mechanism on the obtained network performance and adequate prioritization of various traffic classes. It was shown that the proper selection of the coloring mechanism parameters in the IEEE 802.11ax standard has a strong impact on QoS and the performance of dense networks
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs
WLANs, which have overtaken wired networks to become the primary means of
connecting devices to the Internet, are prone to performance issues due to the
scarcity of space in the radio spectrum. As a response, IEEE 802.11ax and
subsequent amendments aim at increasing the spatial reuse of a radio channel by
allowing the dynamic update of two key parameters in wireless transmission: the
transmission power (TX_POWER) and the sensitivity threshold (OBSS_PD). In this
paper, we present INSPIRE, a distributed solution performing local Bayesian
optimizations based on Gaussian processes to improve the spatial reuse in
WLANs. INSPIRE makes no explicit assumptions about the topology of WLANs and
favors altruistic behaviors of the access points, leading them to find adequate
configurations of their TX_POWER and OBSS_PD parameters for the "greater good"
of the WLANs. We demonstrate the superiority of INSPIRE over other
state-of-the-art strategies using the ns-3 simulator and two examples inspired
by real-life deployments of dense WLANs. Our results show that, in only a few
seconds, INSPIRE is able to drastically increase the quality of service of
operational WLANs by improving their fairness and throughput
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