Abstract | ||
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Rayleigh fading is a widely used channel model in wireless communications. The mean channel power is of practical importance in channel access, power control, handoff, modeling, and coverage analysis of wireless systems. A fundamental problem naturally arises: How many measurements are sufficient to estimate these parameters with the prescribed margin of error and confidence level? We first study ... |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/TVT.2009.2015952 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Fading,Random variables,Signal to noise ratio,Power system modeling,Rayleigh channels,Wireless communication,Power control,Noise measurement,Size measurement,Parameter estimation | Interval estimation,Rayleigh fading,Fading,Computer science,Signal-to-noise ratio,Electronic engineering,Logarithm,Estimation theory,Margin of error,Channel state information | Journal |
Volume | Issue | ISSN |
58 | 7 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xinjia Chen | 1 | 47 | 12.21 |
Guoxiang Gu | 2 | 306 | 69.00 |
Kemin Zhou | 3 | 372 | 59.31 |