Broadband Communications, Networks, and Systems. 9th International EAI Conference, Broadnets 2018, Faro, Portugal, September 19–20, 2018, Proceedings

Research Article

Wireless Channel Characterisation over Simulations for an Indoors Environment at 2.4 GHz

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  • @INPROCEEDINGS{10.1007/978-3-030-05195-2_38,
        author={Tafseer Akhtar and Ilias Politis and Stavros Kotsopoulos},
        title={Wireless Channel Characterisation over Simulations for an Indoors Environment at 2.4 GHz},
        proceedings={Broadband Communications, Networks, and Systems. 9th International EAI Conference, Broadnets 2018, Faro, Portugal, September 19--20, 2018, Proceedings},
        proceedings_a={BROADNETS},
        year={2019},
        month={1},
        keywords={Path loss SINR Transmit power Mininet-WiFi},
        doi={10.1007/978-3-030-05195-2_38}
    }
    
  • Tafseer Akhtar
    Ilias Politis
    Stavros Kotsopoulos
    Year: 2019
    Wireless Channel Characterisation over Simulations for an Indoors Environment at 2.4 GHz
    BROADNETS
    Springer
    DOI: 10.1007/978-3-030-05195-2_38
Tafseer Akhtar1,*, Ilias Politis1,*, Stavros Kotsopoulos1,*
  • 1: University of Patras
*Contact email: takhtar@ece.upatras.gr, ipolits@ece.upatras.gr, kotsop@ece.upatras.gr

Abstract

Mobile communication is on the brink of another transformation as fifth generation networks and their architectures are already mature for deployment. As the volume and intensity of data flow drastically increases, the technologies that fuel such changes need to be evolved. Mobile small cells are going to play a key role in the deployment of these new communication infrastructures, extending the reach of wireless access. In this paper a number of path loss models for and indoors office environment are simulated using Mininet-WiFi. The channel characterization is based on a set of parameters including RSSI, SINR, latency, throughput, etc. The preliminary results indicate that ITU and multi walls multi floors models are accurate enough to be used as a basis for an intelligent, cloud based radio resource management of heterogeneous wireless mobile small cells.