Abstract

Nowadays, with the increasing demand for wireless communication systems, basically Wireless Local Area Networks (WLANs) and Mobile communication systems, higher data rates with better Quality of Service (QoS) are required. While Heterogeneous Networks (Het-Nets) are under study toward 5G technology in mobile communication, WiFi Access Points (APs) are considered a potential layer within those multiple Radio Access Technologies (RATs). Significant network capacity gain can be achieved not only through aggressive reuse of spectrum across the multiple tiers in the network, but also through harnessing an additional spectrum in un-licensed bands by integrating WiFi in the network [1]. Different criteria should be investigated in order to allow both the WiFi APs and the end user to operate on the best suitable channel, where the basic one of those criteria is the “load” of the operating channels. We propose in this paper a novel and accurate algorithm for the estimation of WiFi 802.11n physical channels load through the observation of the non-overlapped channels and estimating as a result the load of the entire physical channels. Once the channels load is estimated using the proposed algorithm, the channel assignment based on the minimal load value is facilitated, thus providing faster response of an AP channel selection and faster end user connection for better Quality of Experience (QoE).

Highlights

  • With the increasing demand for wireless data communication, the main key role focuses on effective bandwidth availability given that the spectrum is limited

  • The length of the input signal used in our simulation is equivalent to the duration of 200 Orthogonal Frequency Division Multiplexing (OFDM) symbols in time (or 200 times the symbol duration = 3.2 μs), where the channel load is expressed by non-zero symbols value equivalent to the time occupation of the signal, and with null symbols value when the channel is empty

  • In this paper we have proposed an algorithm that estimates the load of the physical channels of WiFi 802.11n in 2.5 GHz spectrum

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Summary

Introduction

With the increasing demand for wireless data communication, the main key role focuses on effective bandwidth availability given that the spectrum is limited. This issue stimulates researchers and engineers to use the spectrum more efficiently. One of the challenges faced in WiFi systems, is the channel assignment for the end user within a minimum response time and optimal spectrum usage from the suitable access point. The device will use either active or passive scanning mode based on the response type from the Access Point. The time of the scanning mode could increase significantly depending on the channels load, and the status of the access points, where basic timers exist to assure minimum and maximum times for interrogation requests

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