Beamforming-Based Spatial Precoding in FDD Massive MIMO Systems
Date Issued
2014
Date
2014
Author(s)
Lee, Meng-Ying
Abstract
In this thesis, we proposed a beamforming-based spatial precoding scheme in frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems in order to reduce the downlink training overhead and channel state information (CSI) feedback overhead. When the number of transmit antennas on a base station (BS) is growing large in massive MIMO systems, the downlink training overhead for CSI estimation and the CSI feedback overhead is growing tremendously. This problem would be more critical when we combine orthogonal frequency-division multiplexing (OFDM) with massive MIMO for applying frequency-flat channel in each subcarrier. The proposed method reduces the downlink training overhead and the CSI feedback overhead, thus enhances spectral efficiency. Simulation results show that the proposed method can estimate CSI without heavy downlink training overhead and the CSI feedback overhead is significantly reduced. Furthermore, the proposed method also applies lower computation complexity comparing with other algorithms in recent literature.
Subjects
大規模多輸入多輸出
頻分雙工
波束成型技術
通道狀態資料
回傳
正交分頻多工
Type
thesis
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ntu-103-R01942104-1.pdf
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