Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels

Jesús David Sandoval Posso, Carlos Andres Giraldo Castañeda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A variety of methods has been developed for the optimization of channels in the bandwidth of Wi-Fi networks. Some methods will consider the existence of a single network and allow dynamic allocation of Wi-Fi channels to access points based on different criteria [1–4]. However, in many cases there is more than one Wi-Fi network and some methods were designed in this context and try to reduce the interference between access points and coexisting networks [5, 6]. This article presents a new method identified as a preferred radar algorithm (RP). The RP is based on a search algorithm that decreases the global interference of the environment for each access point. The modified ICORAL and RP methods were implemented allowing to improve the global interference of the environment. The RP and ICORAL methods were fully characterized with radar system embedded in a university environment. The RP shows a significant improvement of at least 30% more interference decrease than the ICORAL.

Original languageEnglish
Title of host publicationCognitive Radio-Oriented Wireless Networks - 14th EAI International Conference, CrownCom 2019, Proceedings
EditorsAdrian Kliks, Michal Sybis, Pawel Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou
PublisherSpringer Verlag
Pages87-99
Number of pages13
ISBN (Print)9783030257477
DOIs
StatePublished - 2019
Event14th EAI International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019 - Poznan, Poland
Duration: 11 Jun 201912 Jun 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume291
ISSN (Print)1867-8211

Conference

Conference14th EAI International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019
Country/TerritoryPoland
CityPoznan
Period11/06/1912/06/19

Keywords

  • Cognitive radio
  • Dynamic channel assignment
  • Wi-Fi

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