Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels

Pedro Bento; Andreia Pereira; Rui Dinis; Marco Gomes; Vitor Silva

doi:10.1109/VTCSpring.2017.8108380

Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels

Pedro Bento, Andreia Pereira, Rui Dinis, Marco Gomes, Vitor Silva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Massive MIMO (m-MIMO) schemes operating at mmWave bands are being proposed to be used in next generation wireless systems, bringing new challenges both in terms of detection techniques and the definition of channel models. In this paper, frequency-domain iterative detection schemes which do not require matrix inversions and are suitable for m-MIMO systems employing Single- Carrier with Frequency-Domain Equalization (SC- FDE) modulations are considered. These techniques are evaluated using a general clustered channel model for multilayer m-MIMO systems. Performance results show that these techniques can approach the Matched Filter Bound (MFB) with just a few iterations, even with significant correlation between different antenna elements.

Original language	English
Title of host publication	2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2017-June
ISBN (Electronic)	978-1-5090-5932-4
DOIs	https://doi.org/10.1109/VTCSpring.2017.8108380
Publication status	Published - 14 Nov 2017
Event	85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia Duration: 4 Jun 2017 → 7 Jun 2017

Conference

Conference	85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country	Australia
City	Sydney
Period	4/06/17 → 7/06/17

Keywords

EGC
IB-DFE
Massive MIMO
MmWave
MRC
SC-FDE

Access to Document

10.1109/VTCSpring.2017.8108380

Cite this

Bento, P., Pereira, A., Dinis, R., Gomes, M., & Silva, V. (2017). Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings (Vol. 2017-June). [8108380] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2017.8108380

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abstract = "Massive MIMO (m-MIMO) schemes operating at mmWave bands are being proposed to be used in next generation wireless systems, bringing new challenges both in terms of detection techniques and the definition of channel models. In this paper, frequency-domain iterative detection schemes which do not require matrix inversions and are suitable for m-MIMO systems employing Single- Carrier with Frequency-Domain Equalization (SC- FDE) modulations are considered. These techniques are evaluated using a general clustered channel model for multilayer m-MIMO systems. Performance results show that these techniques can approach the Matched Filter Bound (MFB) with just a few iterations, even with significant correlation between different antenna elements.",

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Bento, P, Pereira, A, Dinis, R, Gomes, M & Silva, V 2017, Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels. in 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. vol. 2017-June, 8108380, Institute of Electrical and Electronics Engineers Inc., 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 4/06/17. https://doi.org/10.1109/VTCSpring.2017.8108380

Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels. / Bento, Pedro; Pereira, Andreia; Dinis, Rui; Gomes, Marco; Silva, Vitor.

2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017. 8108380.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dinis, Rui

AU - Gomes, Marco

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N2 - Massive MIMO (m-MIMO) schemes operating at mmWave bands are being proposed to be used in next generation wireless systems, bringing new challenges both in terms of detection techniques and the definition of channel models. In this paper, frequency-domain iterative detection schemes which do not require matrix inversions and are suitable for m-MIMO systems employing Single- Carrier with Frequency-Domain Equalization (SC- FDE) modulations are considered. These techniques are evaluated using a general clustered channel model for multilayer m-MIMO systems. Performance results show that these techniques can approach the Matched Filter Bound (MFB) with just a few iterations, even with significant correlation between different antenna elements.

AB - Massive MIMO (m-MIMO) schemes operating at mmWave bands are being proposed to be used in next generation wireless systems, bringing new challenges both in terms of detection techniques and the definition of channel models. In this paper, frequency-domain iterative detection schemes which do not require matrix inversions and are suitable for m-MIMO systems employing Single- Carrier with Frequency-Domain Equalization (SC- FDE) modulations are considered. These techniques are evaluated using a general clustered channel model for multilayer m-MIMO systems. Performance results show that these techniques can approach the Matched Filter Bound (MFB) with just a few iterations, even with significant correlation between different antenna elements.

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Bento P, Pereira A, Dinis R, Gomes M, Silva V. Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Vol. 2017-June. Institute of Electrical and Electronics Engineers Inc. 2017. 8108380 https://doi.org/10.1109/VTCSpring.2017.8108380

Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels

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Keywords

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