Local Mean Power Estimation over Fading Channels

The local average power estimation is needed by communications system for use in coverage assessment, power control, and handoff. Aiming at satisfying the broadband communications and higher safety requirements of next generation communications system, this paper proposes novel criteria of local mean power estimation, including the statistical averaging length, sample number, and sample interval. The multi-path fading is Nakagami-m distributed and the basic procedure is similar to Lee Criteria. The performance of the estimation algorithm is compared with the Lee method which is based on Rayleigh distribution. When it is LOS propagation, which covers the most cases in railway scenario, the measured length necessary to obtain the local average power is determined to be in the range of 10 to 25 wavelengths. The sufficient number of samples depends on one parameter of Nakagami-m distribution and varies from 1 to 14. It is based on the 95 percent and 99 percent confidence interval and less than 1 dB error in estimating. The sample interval increases greatly in comparison with Lee criteria, which can reduce the measurement overhead while remaining the high estimating accuracy.

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