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
Link To Document :
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