WESCANEX 88: 'Digital Communications Conference Proceedings'
DOI: 10.1109/wescan.1988.27687
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A comparison of indoor radio propagation characteristics at 910 MHz and 1.75 GHz

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Cited by 21 publications
(14 citation statements)
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“…is distributed according to a noncentral chi-square distribution given by 7The Nakagami-distribution spans the range from Rayleigh fading ( ) to no fading (constant amplitude) ( ). This type of fading is typically observed in the first resolvable LOS paths of microcellular urban and suburban land mobile [29], picocellular indoor [30], and factory [31] environments. It also applies to the dominant LOS path of satellite [32], [33] and ship-to-ship [23] radio links.…”
Section: B Multilink and Fading Channel Modelsmentioning
confidence: 97%
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“…is distributed according to a noncentral chi-square distribution given by 7The Nakagami-distribution spans the range from Rayleigh fading ( ) to no fading (constant amplitude) ( ). This type of fading is typically observed in the first resolvable LOS paths of microcellular urban and suburban land mobile [29], picocellular indoor [30], and factory [31] environments. It also applies to the dominant LOS path of satellite [32], [33] and ship-to-ship [23] radio links.…”
Section: B Multilink and Fading Channel Modelsmentioning
confidence: 97%
“…Since the fading is assumed to be independent of the AWGN, the unconditional BER, , is obtained by averaging (25) over the underlying fading RV giving (29) where is the fading parameter associated with the distribution , and is hence denoted by , and for the Rayleigh, Nakagami-(Hoyt), Nakagami-(Rice), Nakagami-, log-normal shadowing, composite multipath/shadowing, and combined (time-shared) shadowed/unshadowed PDF's, respectively. Substituting (25) into (29) then interchanging the order of integration yields (30) where (31) is in the form of a Laplace transform. The form of the average BER in (30) is interesting in that the integrals ; can either be obtained in closed-form with the help of classical Laplace transform,s or can alternatively be efficiently computed by using Gauss-Hermite quadrature integration [58, p. 890, eq.…”
Section: Receiver Modelmentioning
confidence: 99%
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