Physically motivated fast-fading model for indoor peer-to-peer channels

Smart Antennas Res. Group, Stanford Univ., Stanford, CA
Electronics Letters (Impact Factor: 0.93). 06/2009; 45(10):515 - 517. DOI: 10.1049/el.2009.0711
Source: IEEE Xplore


To model the fast-fading statistics of the wireless transmission channel in indoor peer-to-peer scenarios, an amplitude distribution composed of three distinct components was investigated. They correspond to line-of-sight, once-reflected and twice-reflected propagation paths. It is shown experimentally that this distribution matches indoor peer-to-peer links better than the available alternatives. Furthermore, an interesting structure in the parameter space of the distribution is pointed out, leading to a simple stochastic parameterisation based on a three-modal normal distribution.

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    • "the distribution can be specified by two parameters [21] "
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    ABSTRACT: In this review paper, a number of recent contributions in the field of multi-link propagation are presented and analyzed, with a particular focus on beyond next generation wireless communication networks. Advances in channel sounding, characterization and modeling are described in three areas: (i) regarding cooperative channel fading statistics, the impact of node mobility is highlighted; (ii) metrics for characterizing the separation between multiple single- and/or multi-antenna channels are detailed; (iii) new geometry-based approaches with multi-link capabilities, including WINNER and COST models, are presented and compared. Finally, a couple of key features not sufficiently included in current models are discussed.
    Antennas and Propagation Conference (LAPC), 2011 Loughborough; 12/2011
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    • "We shortly introduce a recent peer-to-peer radio channel measurement campaign carried out in an office environment in Louvain-la-Neuve, Belgium. Based on these experimental results, we evaluate the small-scale fading statistics using the second-order scattering fading (SOSF) distribution [10], which reflects any combination of Ricean, Rayleigh, and double-Rayleigh fading [11]. We observe sudden changes of the fading statistics, sometimes with the channel even changing from double-Rayleigh to Ricean. "
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    ABSTRACT: The radio channels between nodes of an indoor peer-to-peer network show specific fast fading characteristics. Depending on the mobility and on the scattering properties of the environment, different kinds of fading distributions can occur: Ricean fading between static nodes, but also Rayleigh or even double-Rayleigh fading between mobile nodes. We investigate fast fading in indoor peer-to-peer networks based on radio channel measurements. It turns out that the fading statistics change over time. While the predominant fading mechanism is a combination of Rayleigh and double-Rayleigh fading, Ricean fading also occasionally occurs. On top of that, indoors, the statistics of the fast fading change over time even for small-motions of the nodes, since the propagation environment is inhomogeneous. We comprehensively model these effects using a hidden Markov model, parameterized from our measurements. The model is validated, revealing a convincing fit between the model and the measurements.
    Proceedings of the 73rd IEEE Vehicular Technology Conference, VTC Spring 2011, 15-18 May 2011, Budapest, Hungary; 05/2011
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    • "so that the distribution can be specified by two parameters [20] "
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    ABSTRACT: We propose and parameterize an empirical model of the outdoor-to-indoor and indoor-to-indoor distributed (cooperative) radio channel, using experimental data in the 2.4-GHz band. In addition to the well-known physical effects of path loss, shadowing, and fading, we include several new aspects in our model that are specific to multiuser distributed channels: 1) correlated shadowing between different point-to-point links, which has a strong impact on cooperative system performance; 2) different types of indoor node mobility with respect to the transmitter and/or receiver nodes, implying a distinction between static and dynamic shadowing motivated by the measurement data; and 3) a small-scale fading distribution that captures more severe fading than that given by the Rayleigh distribution.
    IEEE Transactions on Vehicular Technology 07/2010; 59(5-59):2253 - 2265. DOI:10.1109/TVT.2010.2042475 · 1.98 Impact Factor
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