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Analog beamforming has been considered an attractive technology for future single carrier millimeter-wave multiple-input multiple-output (MIMO) systems because of the high cost and huge power consumption of mixed-signal devices. Most conventional studies have focused on joint base station and user equipment (BS-UE) analog beamforming with the objective of improving the average signal to noise ratio...
In millimeter-wave (mmWave) MIMO systems, while a hybrid digital/analog precoding structure offers the potential to increase the achievable rate, it also faces the challenge to lower channel estimation time due to a large number of antennas at both Tx/Rx sides. In this paper, the channel estimation is realized via multi-beam search, and a new hierarchical multi-beam search scheme, which uses a pre-...
We study 60 GHz millimeter wave communication systems employing SVD based transmit precoding and receive combining, and propose a multi-stage iterative method in training the antenna coefficients. The antenna training is carried out in multiple stages one after another, while each stage features an iterative process based on the power iteration principle. Null space projection is used as an enabling...
We study spatial division multiple access in 60 GHz millimeter wave communications and focus on estimation of the optimal transmit beamforming vectors for stations and optimal receive beamforming vectors for the access point. An iterative antenna training protocol is developed, where the optimal transmit/ receive beamforming vectors are computed without explicit knowledge of the actual wireless channels...
We study antenna training method for millimeter wave MIMO communication systems and develop iterative antenna training (IAT) algorithm and protocols. The newly developed training method features low training overhead as well as low computation complexity, and has great application potential in practice.
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