A comparison of 1920-MHz mobile channel diversity gain using horizontal and vertical arrays

Wilson, Perry F.; Papazian, Peter B.; Cotton, Michael G.; Lo, Y. T.

doi:10.1109/26.974251

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…The empirically obtained OlsenSegal fade depth prediction model has been adopted by ITU-R for terrestrial point-to-point LOS links [7]. The impact of bandwidth on fade depth for up to 10 MHz wide codedivision multiple access (CDMA) channels was reported in [8]. To our knowledge, however, no model is available that relates the small-scale fade depth to bandwidth over a large bandwidth range.…”

Section: Introductionmentioning

confidence: 99%

Impact of Bandwidth on Small-Scale Fade Depth

Malik

Allen

Edwards

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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Abstract-This paper investigates the impact of channel bandwidth on fading in wireless channels using indoor measurements. The variation of channel energy over a local region is examined for narrowband, wideband and ultrawideband (UWB) channels, and the corresponding fade depth is evaluated. The relation between bandwidth and fade depth is then captured with a simple dual-slope model. The effect of antenna polarization and line-ofsight blockage is also investigated. We observe that the fade depth initially falls rapidly with bandwidth, reaching 4 dB at 1 GHz, but further reduction in fading with bandwidth is much slower.

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Section: Introductionmentioning

confidence: 99%

Impact of Bandwidth on Small-Scale Fade Depth

Malik

Allen

Edwards

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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“…This determines the system fade margin, a key parameter used in link level design. The variation of fade depth with up to 10 MHz bandwidth was analysed for code-division multiple-access (CDMA) channels in [5]. To our knowledge, there is no model describing the relationship of fade depth and bandwidth over a large bandwidth range, which would be of value to wideband and UWB system design.…”

mentioning

confidence: 99%

Fade depth scaling with channel bandwidth

2007

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The dependence of small-scale fading on bandwidth is quantified experimentally in the 3.1-10.6 GHz band for indoor channels. The fade depth converges to 4 dB at 1 GHz bandwidth, with little reduction for further increase in bandwidth. A simple yet accurate empirical fade depth model is developed, enabling convenient evaluation of the link budget for a channel with given bandwidth.Introduction: Multipath propagation in wireless channels causes random fluctuations in the signal levels, leading to small-scale fading and system outage [1]. Recent research has analysed the impact of channel bandwidth on fading using information theoretic and statistical approaches. For example, an increase in the stochastic degrees of freedom with bandwidth in frequency-selective channels has been reported [2,3]. This Letter investigates the variation of channel energy with bandwidth up to 7.5 GHz, spanning the FCC-allocated ultra-wideband (UWB) spectral range [4], and proposes a simple model to characterise this variation. Fade depth is a measure of the variation in the channel energy about its local mean due to small-scale fading. This determines the system fade margin, a key parameter used in link level design. The variation of fade depth with up to 10 MHz bandwidth was analysed for code-division multiple-access (CDMA) channels in [5]. To our knowledge, there is no model describing the relationship of fade depth and bandwidth over a large bandwidth range, which would be of value to wideband and UWB system design.

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Bandwidth-dependent modelling of small-scale fade depth in wireless channels

Malik

Allen

Edwards

2008

IET Microw. Antennas Propag.

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In this paper, the relation between small-scale fade depth and channel bandwidth in an indoor environment is investigated. The fade depth, a measure of the signal power variability over a local region in space, is evaluated for narrowband, wideband and ultrawide-band channels. The experimental analysis is based on frequency-domain measurements in the 3.1-10.6 GHz microwave band. Physical insight into the fading process is provided, and the effect of increasing bandwidth and temporal resolution is discussed. A dual-slope empirical model is developed, which accurately describes the relationship between fade depth and channel bandwidth. It is demonstrated that the fade depth, considered at the three standard deviation values, converges to about 4 dB at 1 GHz bandwidth, and a further increase in bandwidth yields only a marginal improvement in fade mitigation.

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A comparison of 1920-MHz mobile channel diversity gain using horizontal and vertical arrays

Cited by 4 publications

References 5 publications

Impact of Bandwidth on Small-Scale Fade Depth

Impact of Bandwidth on Small-Scale Fade Depth

Fade depth scaling with channel bandwidth

Bandwidth-dependent modelling of small-scale fade depth in wireless channels

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