Ping-Pong Beam Training with Hybrid Digital-Analog Antenna Arrays
Autor: | Jørgen Bach Andersen, Carles Navarro Manchon, Elisabeth de Carvalho |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Beamforming
business.industry Computer science 05 social sciences MIMO ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Normalization (image processing) 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY 0508 media and communications 0202 electrical engineering electronic engineering information engineering Wireless Digital signal Antenna (radio) Telecommunications business Algorithm Communication channel Computer Science::Information Theory |
Zdroj: | Manchón, C N, Carvalho, E D & Andersen, J B 2017, Ping-Pong Beam Training with Hybrid Digital-Analog Antenna Arrays . in 2017 IEEE International Conference on Communications (ICC) . IEEE, IEEE International Conference on Communications, IEEE ICC 2017 Wireless Communications Symposium, Paris, France, 21/05/2017 . https://doi.org/10.1109/ICC.2017.7996580 ICC |
DOI: | 10.1109/ICC.2017.7996580 |
Popis: | 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. |
Databáze: | OpenAIRE |
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