Abstract
In this article we propose an iterative training scheme that approximates optimal beamforming between two transceivers equipped with hybrid digital-analog antenna arrays. Inspired by methods proposed for digital arrays that exploit algebraic power iterations, the proposed training procedure is based on a series of alternate (ping-pong) transmissions between the two devices over a reciprocal channel. During the transmissions, the devices updates their digital beamformers by conjugation and normalization operations on the received digital signal, while the analog beamformers are progressively updated by a simple "beam split and drop" strategy that tracks the directions from which signals with largest magnitude are being received. The resulting scheme has minimal computational complexity and converges with only a handful of iterations. As shown in the numerical assessment, the method approximates the top singular mode of the channel, hence performing very closely to optimal beamforming.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Communications (ICC) |
Number of pages | 7 |
Publisher | IEEE |
Publication date | May 2017 |
ISBN (Electronic) | 978-1-4673-8999-0 |
DOIs | |
Publication status | Published - May 2017 |
Event | IEEE ICC 2017 Wireless Communications Symposium: Bridging People, Communities, and Cultures - Paris, France Duration: 21 May 2017 → 25 May 2017 http://icc2017.ieee-icc.org/ |
Conference
Conference | IEEE ICC 2017 Wireless Communications Symposium |
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Country/Territory | France |
City | Paris |
Period | 21/05/2017 → 25/05/2017 |
Internet address |
Series | IEEE International Conference on Communications |
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ISSN | 1938-1883 |