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http://dx.doi.org/10.7840/kics.2015.40.7.1239

Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems  

Chung, Jinjoo (Department of Electrical and Computer Engineering, INMAC, Seoul National University)
Han, Yonghee (Department of Electrical and Computer Engineering, INMAC, Seoul National University)
Lee, Jungwoo (Department of Electrical and Computer Engineering, INMAC, Seoul National University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.7, 2015 , pp. 1239-1247 More about this Journal
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.
Keywords
massive MIMO; adaptive channel estimation; Kalman; LMS;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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