Cognitive Radio-Oriented Wireless Networks. 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings

Research Article

Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels

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  • @INPROCEEDINGS{10.1007/978-3-030-25748-4_7,
        author={Jes\^{u}s Sandoval Posso and Carlos Giraldo Casta\`{o}eda},
        title={Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels},
        proceedings={Cognitive Radio-Oriented Wireless Networks. 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11--12, 2019, Proceedings},
        proceedings_a={CROWNCOM},
        year={2019},
        month={8},
        keywords={Dynamic channel assignment Cognitive radio Wi-Fi},
        doi={10.1007/978-3-030-25748-4_7}
    }
    
  • Jesús Sandoval Posso
    Carlos Giraldo Castañeda
    Year: 2019
    Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-030-25748-4_7
Jesús Sandoval Posso1,*, Carlos Giraldo Castañeda1,*
  • 1: Pontificia Universidad Javeriana Cali
*Contact email: jdposso@javerianacali.edu.co, cgiraldoc@javerianacali.edu.co

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.