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Enhanced Index Assignment for Beamforming with Limited-rate Imperfect Feedback  

Park, Noe-Yoon (School of Information and Communication Engineering, Chungbuk National University)
Kim, Young-Ju (Research Institute for Computer and Information Communication, College of Electrical & Computer Engineering, Chungbuk National University)
Publication Information
Abstract
The quantized beamforming systems always need the channel state information, which must be quantized into a finite set of vectors (named codebook), and feedback only sends the index representing the desired vector. Thereby it minimized the impact of feedback errors, caused by feedback overhead and delay. In this regard, index assignment (IA) methods, an exhaustive-search and group-based schemes, have been presented for minimizes the performance degradation without additional feedback bits. In this paper, we proposed enhanced group-based IA method, which used the optimal codebook design with chordal distance, having the adaptive properties in application of the existing IA methods. When the number of transmit antennas is 4 and LTE codebook is used, Monte-Carlo simulations verify that the proposed scheme has a power advantage of 0.5~1dB to obtain the same bit error rate than methods without IA, and it has 0.1~0.2 dB better performance compared with the existing IA methods over same environment.
Keywords
Beamforming; limited-rate feedback; index assignment; codebook;
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