Asymmetric Channel Estimation for Multi-User Millimeter Wave Communications

被引:0
|
作者
Han, Yonghee [1 ]
Lee, Jungwoo
机构
[1] Seoul Natl Univ, Dept Elect & Comp Engn, Seoul 08826, South Korea
来源
2016 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC 2016): TOWARDS SMARTER HYPER-CONNECTED WORLD | 2016年
关键词
5G;
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 millimeter wave (mmWave) systems adopting large number of antennas at both the transmitter and the receiver, channel estimation is challenging due to the large number of antennas and low signal-to-noise ratio (SNR) before beamforming. Due to the sparse nature of mmWave channels, the channel estimation can be solved by beam search. While conventional beam search schemes rely on exhaustive training, it requires excessive overhead scaling proportional to the number of antennas. Compressed sensing (CS) is a promising approach to reduce the training overhead. However, CS shows poor recovery performance with low SNR. In this paper, we propose an asymmetric channel estimation scheme that combines an exhaustive beam training at the receiver side and a CS approach for transmit beam training. The hybrid scheme shows robust performance in a low SNR regime and can be applied for multi-user systems.
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页码:4 / 6
页数:3
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