Name
Abstract | ||
|---|---|---|
Co‐channel interference is recognized as one of the major factors that limits the
capacity and link quality of a wireless communications system. An appropriate understanding
of the statistical behavior of the co‐channel interference is therefore required when
analyzing and designing techniques that mitigate its undesired effects. The total
co‐channel interference in a wireless communications system is usually modeled as
the sum of lognormally distributed signals, and is generally assumed to be itself
lognormally distributed. Based on this assumption, several methods for estimating
the moments of the resulting lognormal distribution have been proposed. The accuracy
of these methods has been studied in previous works, under the assumption of having
all summand signals (individual interference signals) identically distributed. Such
an assumption rarely holds in practical cases of emerging wireless communications
systems, where co‐channel interference may stem from far‐away macrocells and nearby
transmitters, causing the interference signals to have different moments. In this
paper we present an analysis of the accuracy of two popular methods for computing
the moments of a sum of lognormal random variables, namely Wilkinson's method and
Schwartz and Yeh's method, for the general case when the summands have different mean
values and standard deviations in decibel units. We show that Schwartz and Yeh's method
provides better accuracy than Wilkinson's method and is virtually invariant with the
difference of the mean values and standard deviations of the summands. Copyright ©
2001 John Wiley & Sons, Ltd.
|
Year | DOI | Venue |
|---|---|---|
2001 | 10.1002/1530-8677(200101/03)1:1<111::AID-WCM5>3.0.CO;2-5 | Wireless Communications and Mobile Computing |
Keywords | Field | DocType |
statistical analysis,co channel interference | Wireless communication systems,Random variable,Computer science,Co-channel interference,Algorithm,Independent and identically distributed random variables,Invariant (mathematics),Interference (wave propagation),Statistics,Log-normal distribution,Standard deviation,Distributed computing | Journal |
Volume | Issue | ISSN |
1 | 1 | 1530-8677 |
Citations | PageRank | References |
16 | 1.87 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo Cardieri | 1 | 79 | 12.31 |
| Theodore S. Rappaport | 2 | 4510 | 344.77 |