Fast Fading Characterization for Indoor to Indoor and Outdoor to Indoor Channels

Sanchez, Fernando; Stephanides, Andreas; Czink, Nicolai; Oestges, Claude

doi:10.1109/vetecf.2011.6092969

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…In other words, (46) can produce double-Rayleigh fading over frequency even for a single-mobile scenario. Probably, this fact could be the reason for apparent double-Rayleigh fading measurements in single-mobile scenarios in [20], [22], which are based on the same measurement campaign. Indeed, in these models, the fading behavior is characterized by jointly considering time samples and frequency tones, although we have shown above that they might not follow the same distribution in single-mobile scenarios.…”

Section: Reference Model Over Frequencymentioning

confidence: 99%

Measurement-Based Modeling of Time-Variant Fading Statistics in Indoor Peer-to-Peer Scenarios

Vinogradov

Joseph

Oestges

2015

IEEE Trans. Antennas Propagat.

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Investigation of small-scale fading in indoor peerto-peer networks based on radio channel measurements shows that Rayleigh or double-Rayleigh fading with or without lineof-sight (LOS) component can occur, depending on the mobility and on the scattering properties of the environment. While in double-mobile scenarios, the predominant fading mechanism is a combination of Rayleigh and double-Rayleigh fading, Rician fading and fading events caused by combination of a constant term with a Double Rayleigh component are also occasionally observed. In single-mobile scenarios, temporal fading is Rician or Rayleigh distributed. Additionally, measurements reveal that fading statistics evolve significantly over time, even for smallscale motions of the nodes. We model the transitions between the fading states by means of a hidden Markov model, parameterized from our measurements. Eventually, we propose a complete simulation model that generates channel realizations by combining measurement-based first-order statistics with geometry-based second-order statistics for both types of node mobility.

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Section: Reference Model Over Frequencymentioning

confidence: 99%

Measurement-Based Modeling of Time-Variant Fading Statistics in Indoor Peer-to-Peer Scenarios

Vinogradov

Joseph

Oestges

2015

IEEE Trans. Antennas Propagat.

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“…Mobile nodes were either randomly moved over a small scale (within a square of 1 m 2 ), or over a larger scale (throughout the whole room they were in). The measurements were carried out with UCL/ULB Elektrobit CS channel sounder at a carrier frequency of 3.8 GHz [5].…”

Section: Measurementsmentioning

confidence: 99%

Modeling and simulation of fast fading channels in indoor peer-to-peer scenarios

Vinogradov

Joseph

Oestges

2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

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Cost Efficiency Adaptive Antenna System Based on Active Frequency Selective Surface

Zhang

Liu

et al. 2015

2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

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Fast Fading Characterization for Indoor to Indoor and Outdoor to Indoor Channels

Cited by 4 publications

References 11 publications

Measurement-Based Modeling of Time-Variant Fading Statistics in Indoor Peer-to-Peer Scenarios

Measurement-Based Modeling of Time-Variant Fading Statistics in Indoor Peer-to-Peer Scenarios

Modeling and simulation of fast fading channels in indoor peer-to-peer scenarios

Cost Efficiency Adaptive Antenna System Based on Active Frequency Selective Surface

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