Reduced-complexity downlink cell-free mmWave Massive MIMO systems with fronthaul constraints. Femenias, G. & Riera-Palou, F. In 2019 27th European Signal Processing Conference (EUSIPCO), pages 1-5, Sep., 2019. Paper doi abstract bibtex Cell-free architectures have recently emerged as a promising architecture with the potential to offer equal user-rates throughout the coverage area. Given the spectral congestion at sub-6 GHz bands, there is a pressing interest in evaluating the cell-free performance in the mmWave regime. This paper addresses the design and performance evaluation of the downlink segment of cell-free mmWave Massive MIMO system using hybrid precoders under the realistic assumption of capacity-constrained fronthaul links. Towards this end, a hybrid digital-analog beamforming is proposed where the high-dimensional analog part only depends on second-order large scale information. The low-dimensional digital part can then be implemented using standard precoding techniques that rely on instantaneous CSI. Numerical results demonstrate that this reduced-complexity architecture, when combined with an adequate user selection (scheduling), attains excellent Max-Min performance when operating under limited-fronthaul constraints.
@InProceedings{8902784,
author = {G. Femenias and F. Riera-Palou},
booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
title = {Reduced-complexity downlink cell-free mmWave Massive MIMO systems with fronthaul constraints},
year = {2019},
pages = {1-5},
abstract = {Cell-free architectures have recently emerged as a promising architecture with the potential to offer equal user-rates throughout the coverage area. Given the spectral congestion at sub-6 GHz bands, there is a pressing interest in evaluating the cell-free performance in the mmWave regime. This paper addresses the design and performance evaluation of the downlink segment of cell-free mmWave Massive MIMO system using hybrid precoders under the realistic assumption of capacity-constrained fronthaul links. Towards this end, a hybrid digital-analog beamforming is proposed where the high-dimensional analog part only depends on second-order large scale information. The low-dimensional digital part can then be implemented using standard precoding techniques that rely on instantaneous CSI. Numerical results demonstrate that this reduced-complexity architecture, when combined with an adequate user selection (scheduling), attains excellent Max-Min performance when operating under limited-fronthaul constraints.},
keywords = {array signal processing;millimetre wave communication;MIMO communication;minimax techniques;precoding;radio links;radio transceivers;wireless channels;reduced-complexity downlink cell-free;cell-free architectures;equal user-rates;coverage area;spectral congestion;sub-6 GHz bands;pressing interest;cell-free performance;mmWave regime;performance evaluation;downlink segment;cell-free mmWave Massive MIMO system;hybrid precoders;capacity-constrained fronthaul links;digital-analog beamforming;high-dimensional analog part;low-dimensional digital part;reduced-complexity architecture;excellent Max-Min performance;limited-fronthaul constraints;frequency 6.0 GHz;Radio frequency;Massive MIMO;Channel estimation;Antenna arrays;Training;Baseband;Downlink},
doi = {10.23919/EUSIPCO.2019.8902784},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570530016.pdf},
}
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