Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems 


Vol. 40,  No. 7, pp. 1239-1247, Jul.  2015


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  Abstract

In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system, the computational complexity of downlink channel estimation is proportional to the number of antennas at a base station. Therefore, effective channel estimation techniques may have to be studied. In this paper, novel channel estimation algorithms using adaptive techniques such as Kalman and least mean square (LMS) filters are proposed in a channel model with temporal and spatial correlation.

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  Cite this article

[IEEE Style]

J. Chung, Y. Han, J. Lee, "Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 7, pp. 1239-1247, 2015. DOI: .

[ACM Style]

Jinjoo Chung, Yonghee Han, and Jungwoo Lee. 2015. Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 40, 7, (2015), 1239-1247. DOI: .

[KICS Style]

Jinjoo Chung, Yonghee Han, Jungwoo Lee, "Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 7, pp. 1239-1247, 7. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880