DocumentCode :
586026
Title :
Power allocation for indoor distributed antenna system based on path loss prediction at 6 GHz
Author :
Xin, Liang ; Zhang, Jianhua ; Li, Xiaofan
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
24-27 Sept. 2012
Firstpage :
424
Lastpage :
428
Abstract :
Due to the difficulty in obtaining the perfect channel state information (CSI), in this paper, the power allocation algorithm is investigated with only large scale information. Based on the measured channel data at 6 GHz, log-distance (LGD) model and linear-distance (LID) model are used to predict the large scale information or path loss (PL) firstly, and both achieve a good prediction precision. Then water-filling algorithm with the predicted PL (WPP) is proposed in this paper for frequency selective fading channel. The proposed algorithm can lead to a 33% increase in average capacity compared with uniform power allocation (UPA) scheme, and outperform the selective transmission (ST) scheme, especially in high transmitted signal to noise ratio (SNR). Besides, the robustness of the proposed algorithm is evaluated, which depends on the difference of PLs among radio links.
Keywords :
fading channels; frequency selective surfaces; indoor communication; microwave antennas; radio links; CSI; LGD model; LID model; PL; SNR; ST scheme; UPA scheme; WPP; channel state information; frequency 6 GHz; high transmitted signal to noise ratio; indoor distributed antenna system; large scale information; linear-distance model; log-distance model; path loss; path loss prediction; power allocation; radio links; selective fading channel; selective transmission scheme; uniform power allocation scheme; water-filling algorithm; Antennas; Fading; Frequency measurement; Prediction algorithms; Predictive models; Resource management; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Personal Multimedia Communications (WPMC), 2012 15th International Symposium on
Conference_Location :
Taipei
ISSN :
1347-6890
Print_ISBN :
978-1-4673-4533-0
Type :
conf
Filename :
6398774
Link To Document :
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