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Channel estimation and hybrid combining for mmWave: Phase shifters or switches?

Méndez-Rial, Roi, Rusu, Cristian, Alkhateeb, Ahmed, González-Prelcic, Nuria and Heath, Robert W. (2015) Channel estimation and hybrid combining for mmWave: Phase shifters or switches? In: 2015 Information Theory and Applications Workshop (ITA). IEEE, San Diego, CA, pp. 90-97. ISBN 9781479971954

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ITA.2015.7308971

Abstract

Precoding/combining and large antenna arrays are essential in millimeter wave (mmWave) systems. In traditional MIMO systems, precoding/combining is usually done digitally at baseband with one radio frequency (RF) chain and one analog-to-digital converter (ADC) per antenna. The high cost and power consumption of RF chains and ADCs at mmWave frequencies make an all-digital processing approach prohibitive. When only a limited number of RF chains is available, hybrid architectures that split the precoding/combining processing into the analog and digital domains are attractive. A previously proposed hybrid solution employs phase shifters and mixers in the RF precoding/combining stage. It obtains near optimal spectral efficiencies with a reduced number of RF channels. In this paper we propose a different hybrid architecture, which simplifies the hardware at the receiver by replacing the phase shifters with switches. We present a new approach for compressed sensing based channel estimation for the hybrid architectures. Given the channel estimate, we propose a novel algorithm that jointly designs the antenna subsets selected and the baseband combining. Using power consumption calculations and achievable rates, we compare the performance of hybrid combining with antenna switching and phase shifting, showing that antenna selection is preferred in a range of operating conditions.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 02 Jul 2018 14:13
Last Modified: 02 Jul 2018 14:13
URI: https://norma.ncirl.ie/id/eprint/3040

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