DocumentCode
2953558
Title
Theoretical analysis on local mean signal power for wireless field strength coverage
Author
Ai, Bo ; Zhang-dui Zhong ; Zhu, Gang ; Lin, Si-yu
Author_Institution
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
The estimation of local mean signal power in wireless field strength coverage is of utmost importance in the planning of base stations in wireless mobile cellular communications systems. Many related topics about the estimation of local mean signal strength are based on Lee´s law, which has some restrictions in the real implementation. While, in the construction of our native railway, a 4 cm sampling interval is adopted in the engineering implementation. However, there is no any theoretical basis for this sampling value. In this paper, theoretical analysis and simulations are carried out in determining the statistical interval, sampling interval, confidence degree and confidence interval. Theoretical value for the variance is derived when the sampling points are correlated with each other. The establishing basis for confidence degree is proposed. Some important conclusions about the determination of local mean power are drawn through simulations and corresponding analysis.
Keywords
cellular radio; electromagnetic fields; radiowave propagation; signal sampling; statistical analysis; telecommunication network planning; Lee law; base station planning; local mean signal power; local mean signal strength; sampling interval; statistical interval; wireless field strength coverage; wireless mobile cellular communication; Analytical models; Base stations; Estimation error; Rail transportation; Railway safety; Sampling methods; Signal analysis; Signal sampling; Traffic control; Wireless communication; Confidence degree and confidence interval; Field strength coverage; Lee´s Law; Sampling interval; Slow and fast Fading;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4856-2
Electronic_ISBN
978-1-4244-5668-0
Type
conf
DOI
10.1109/WCSP.2009.5371708
Filename
5371708
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