DocumentCode
3107986
Title
Monte Carlo analysis to estimate the performance of adaptive Power Control algorithm for varying target SIR
Author
Datta, C.R. ; Datta, Amitava ; Gupta, Deepika ; Chakravarty, S.K.
Author_Institution
Sch. Educ. Dept., Gov. of West Bengal, Kolkata, India
fYear
2012
fDate
28-29 Dec. 2012
Firstpage
568
Lastpage
571
Abstract
In this paper we study the performance of two Power Control algorithms: the Adaptive Standard Power Control (ASPC) and the Standard Power Control (PCA) algorithms. Simulation of both algorithms is being done under three different network conditions including the case with varying SIR target. In order to achieve robust estimates of the performance we have undertaken Monte-Carlo analysis of 500 runs for each case. These results show that the performance ASPC is be better than PCA under the different network conditions considered in this paper. All simulations are done in MATLAB.
Keywords
Monte Carlo methods; adaptive control; power control; signal processing; MATLAB; Monte Carlo analysis; adaptive power control algorithm; adaptive standard power control; network condition; signal to interference ratio; standard power control algorithm; Adaptation models; MATLAB; Mathematical model; Mobile communication; Principal component analysis; Robustness; Standards; Cellular networks; Mobile communication; Quality of service; Radio transceivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4673-4699-3
Type
conf
DOI
10.1109/CODIS.2012.6422266
Filename
6422266
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