DocumentCode
1960802
Title
Notice of Retraction
Statistics analysis of the Sakagami model
Author
Yihuai Yang ; Dongya Shen ; Yonggang Xie
Author_Institution
Acad. of Telecommun. Technol., Kunming Univ., Kunming, China
Volume
2
fYear
2010
fDate
9-11 July 2010
Firstpage
445
Lastpage
448
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
A new extension Statistical-Sakagami model is proposed by using the statistical method in the 4G prediction path loss multiple regression formula. It is assumed that the two main parameters: hB and db are not deterministic variables like those in theory propagation models, but statistical variables, and two parameters are varying at the same time in the simulation. The performance of the formula is studied by simulating the probability density functions, cumulative distribution functions, level cross rate and average fade duration.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
A new extension Statistical-Sakagami model is proposed by using the statistical method in the 4G prediction path loss multiple regression formula. It is assumed that the two main parameters: hB and db are not deterministic variables like those in theory propagation models, but statistical variables, and two parameters are varying at the same time in the simulation. The performance of the formula is studied by simulating the probability density functions, cumulative distribution functions, level cross rate and average fade duration.
Keywords
probability; radiowave propagation; regression analysis; 4G prediction path loss multiple regression formula; average fade duration; cumulative distribution functions; level cross rate; probability density functions; propagation models; statistical Sakagami model; Nakagami distribution; Sakagami model; Statistical;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5565173
Filename
5565173
Link To Document