Adaptive Feedback Reduction for P-VQ in MU-MISO Downlink Precoding

被引：0
|
作者：
Kibria, Mirza Golam [1 ]
Murata, Hidekazu [1 ]
Yoshida, Susumu [1 ]
机构：
[1] Kyoto Univ, Grad Sch Informat, Kyoto, Japan
来源：
2013 IEEE 78TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) | 2013年
关键词：
Feedback reduction; Partitioned vector quantization; MU-MISO; Nonlinear precoding etc; FINITE-RATE FEEDBACK; SYSTEMS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this study, an adaptive and variable-rate feedback reduction technique for partitioned vector quantization (P-VQ) in MU-MISO downlink precoding is proposed. Independent feedback reduction is performed for both channel quality indicator (CQI) and channel direction indicator (CDI) over slowly-varying Rayleigh channel. The users adaptively reduce the feedback overhead for quantized channel state information (CSI) depending on the rate and direction of change in the correlated CQIs and CDIs. Simulation results show that the proposed scheme greatly lessens the communication overhead with very small performance loss and enhances the quantization efficiency.
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页数：5
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