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Beamforming (BF) with phased arrays is a critical and natural solution for millimeter-wave (mmWave) wireless communications due to the increased signal propagation attenuation. In this paper, we propose fast and efficient codebook-based BF training to estimate antenna weight vectors (AWVs) for next generation mmWave WLANs/WPANs or the fifth generation (5G) wireless systems with spatial multiplexing...
Beamforming is a critical and natural solution for 60 GHz band wireless communications due to the increased signal attenuation. In this paper we propose an efficient codebook-based MIMO beamforming training scheme for estimating the antenna weight vectors (AWVs) in millimeter-wave wireless local area networks (WLANs). We adopt the discrete Fourier transform (DFT)-based codebooks. We propose a simple...
In this paper, a linear Channel Orthogonalization (CO) algorithm with low complexity is presented, which is applicable to systems with an arbitrary number of antennas and users. Unlike other conventional linear methods, CO obtains the orthonormal basis to achieve the precoding matrix by means of using Schmidt Orthogonalization method. Then, the algorithm (CO-THP) combining CO with Tomlinson-Harashima...
In this paper, we study low complexity double space time transmit diversity (D-STTD) and orthogonal frequency division multiplexing (OFDM) system with antenna shuffling. We propose a novel antenna shuffling method based on the criterion of minimizing the condition number of channel correlation matrix. The condition number is an indicator about the quality of the channel. By selecting the minimum of...
In this paper, we study low complexity transceiver for double space time transmit diversity (D-STTD) and orthogonal frequency division multiplexing (OFDM) system with antenna shuffling. We utilize a simple antenna shuffling method based on the criterion of minimum mean square error (MMSE). We propose an algorithm to reduce the amount of feedback by exploiting the fact that the channel frequency responses...
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