Performance Evaluation of Non-prefiltering vs. Time Reversal Prefiltering in Distributed and Uncoordinated IR-UWB Ad-Hoc Networks View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02-22

AUTHORS

Giuseppe Caso, Luca De Nardis, Mai T. Phuong Le, Flavio Maschietti, Jocelyn Fiorina, Maria-Gabriella Di Benedetto

ABSTRACT

Time Reversal (TR) is a prefiltering scheme mostly analyzed in the context of centralized and synchronous IR-UWB networks, in order to leverage the trade-off between communication performance and device complexity, in particular in presence of multiuser interference. Several strong assumptions have been typically adopted in the analysis of TR, such as the absence of Inter-Symbol / Inter-Frame Interference (ISI/IFI) and multipath dispersion due to complex signal propagation. This work has the main goal of comparing the performance of TR-based systems with traditional non-prefiltered schemes, in the novel context of a distributed and uncoordinated IR-UWB network, under more realistic assumptions including the presence of ISI/IFI and multipath dispersion. Results show that, lack of power control and imperfect channel knowledge affect the performance of both non-prefiltered and TR systems; in these conditions, TR prefiltering still guarantees a performance improvement in sparse/low-loaded and overloaded network scenarios, while the opposite is true for less extreme scenarios, calling for the developement of an adaptive scheme that enables/disables TR prefiltering depending on network conditions. More... »

PAGES

796-805

References to SciGraph publications

  • 2011-09-21. Combining UWB with Time Reversal for improved communication and positioning in TELECOMMUNICATION SYSTEMS
  • 2012-10-06. Mitigation of channel estimation error in TR–UWB system based on a novel MMSE equalizer in ANNALS OF TELECOMMUNICATIONS
  • 2007-04-05. Modelling and Comparative Performance Analysis of a Time-Reversed UWB System in EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11036-017-0829-6

    DOI

    http://dx.doi.org/10.1007/s11036-017-0829-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1083877910


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