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www.WirelessCommunication.NLChapter: Wireless Channels
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At least two different methods are used to estimate the probability distribution of the joint interference power accumulated from several log-normal signals. Such methods are relevant to estimate the joint effect of multiple interfering signals with shadowing. Fenton and Schwartz and Yeh both proposed to approximate the pdf of the joint interference power by a log-normal pdf, yet neither could determine it exactly.
Table: Mean mt and standard deviation st (both in dB) of the joint power of n signals with uncorrelated shadowing, each with mean 0 dB and with identical standard deviation. Networks, with 0, 6, 8.3 and 12 dB of shadowing of individual signals.
0 dB 6 dB 8.3 dB 12 dB n mt st mt st mt st mt st 1 0.00 0.00 0.00 6.00 0.00 8.30 0.00 12.00 2 3.00 0.00 4.58 4.58 5.61 6.49 7.45 9.58 3 4.50 0.00 6.90 3.93 8.45 5.62 11.20 8.40 4 6.00 0.00 8.43 3.54 10.29 5.08 13.62 7.66 5 7.00 0.00 9.57 3.26 11.64 4.70 15.37 7.13 6 7.50 0.00 10.48 3.04 12.69 4.41 16.74 6.74Besides these methods, by Fenton and Schwartz and Yeh, a number of alternative (and often more simplified) techniques are used. For instance in VHF radio broadcasting, signals fluctuate with location and with time according to log-normal distributions. Techniques to compute the coverage of broadcast transmitters are in CCIR recommendations.
Outage probabilities for systems with multiple Rayleigh fading and shadowed signals can however be computed easily
without explicitly estimating the joint effect of multiple shadowed signals.
PC Windows executable
to compute the mean and standard deviation of the signal power
due to multiple i.i.d. lognormal signals. The user can set the
the standard deviation.
PC Computer Software
Disclaimer: Executable software programmes are provided with no guarantee whatsoever. See License.