A Transmit Power Control based on Fading Channel Prediction for High-speed Mobile Communication Systems 


Vol. 34,  No. 1, pp. 27-33, Jan.  2009


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  Abstract

This paper proposes transmit power control techniques with fading channel prediction scheme based on recurrent neural network for high-speed mobile communication systems. The operation result of recurrent neural network which is derived interpretively solves complexity problems of neural network circuit, and channel gain of multiple transmit antenna is derived with maximum ratio combining(MRC) by using the operation result, and this channel gain control transmit power of each antenna. simulation results show that proposed method has a outstanding performance compared to method that is not to be controlled power based on channel prediction. Most of legacy studies are for robust receive technique of fading signals or channel prediction of fading signals limited low-speed mobility, but in open loop power control, proposed channel prediction method decrease system complexity with removal of fading effect in transmitter.

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  Cite this article

[IEEE Style]

I. K. Hwang, S. Lee, I. Ryu, "A Transmit Power Control based on Fading Channel Prediction for High-speed Mobile Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 1, pp. 27-33, 2009. DOI: .

[ACM Style]

In Kwan Hwang, Sang-Kook Lee, and In-Bum Ryu. 2009. A Transmit Power Control based on Fading Channel Prediction for High-speed Mobile Communication Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 1, (2009), 27-33. DOI: .

[KICS Style]

In Kwan Hwang, Sang-Kook Lee, In-Bum Ryu, "A Transmit Power Control based on Fading Channel Prediction for High-speed Mobile Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 1, pp. 27-33, 1. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880