MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    2 Citations (Scopus)

    Abstract

    Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.
    Original languageEnglish
    Title of host publicationIEEE International Symposium on Wireless and Pervasive Computing
    EditorsJun Shen
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages11-16
    Number of pages6
    Volume1
    ISBN (Print)9781424429660
    DOIs
    Publication statusPublished - 2009
    Event4th IEEE International Symposium on Wireless and Pervasive Computing - Melbourne, Australia
    Duration: 11 Feb 200913 Feb 2009

    Conference

    Conference4th IEEE International Symposium on Wireless and Pervasive Computing
    CountryAustralia
    CityMelbourne
    Period11/02/0913/02/09

    Fingerprint

    Radio systems
    Wimax
    Poisson distribution
    Wi-Fi
    Multipath fading
    Communication
    Channel estimation
    Transceivers
    Fading channels
    Throughput
    Antennas
    Bandwidth
    Radio transceivers
    Optimal design

    Cite this

    Huang, X., & Sharma, D. (2009). MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. In J. Shen (Ed.), IEEE International Symposium on Wireless and Pervasive Computing (Vol. 1, pp. 11-16). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISWPC.2009.4800593
    Huang, Xu ; Sharma, Dharmendra. / MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. IEEE International Symposium on Wireless and Pervasive Computing. editor / Jun Shen. Vol. 1 United States : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 11-16
    @inproceedings{da4c570b09c44364b306f2deeb35fb6e,
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    abstract = "Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the {"}m{"} factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.",
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    Huang, X & Sharma, D 2009, MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. in J Shen (ed.), IEEE International Symposium on Wireless and Pervasive Computing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 11-16, 4th IEEE International Symposium on Wireless and Pervasive Computing, Melbourne, Australia, 11/02/09. https://doi.org/10.1109/ISWPC.2009.4800593

    MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. / Huang, Xu; Sharma, Dharmendra.

    IEEE International Symposium on Wireless and Pervasive Computing. ed. / Jun Shen. Vol. 1 United States : IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 11-16.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AB - Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.

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    Huang X, Sharma D. MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models. In Shen J, editor, IEEE International Symposium on Wireless and Pervasive Computing. Vol. 1. United States: IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 11-16 https://doi.org/10.1109/ISWPC.2009.4800593