Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO
Mm-wave MIMO communication makes a hybrid combination of analog RF and digital baseband processing more attractive, where digital baseband precoders/combiners able to adapt to the pre-defined analog (switch based) RF processors. Non-uniform two-dimensional quantized azimuth and elevation angle grid...
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Spolecnost pro radioelektronicke inzenyrstvi
2020-12-01
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Online Access: | https://www.radioeng.cz/fulltexts/2020/20_04_0625_0635.pdf |
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doaj-f87222bbad0d46d8af7e3e3ccc596fc22020-12-16T14:22:04ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122020-12-01294625635Coherence Optimized Channel Estimation for Mm-Wave Massive MIMOF. AkramI. RashidA. GhafoorA. M. SiddiquiMm-wave MIMO communication makes a hybrid combination of analog RF and digital baseband processing more attractive, where digital baseband precoders/combiners able to adapt to the pre-defined analog (switch based) RF processors. Non-uniform two-dimensional quantized azimuth and elevation angle grid antenna array responses are suggested for uniform planar array (UPA) and are proven orthogonal. Training vectors (or sensing matrix) are designed for suggested antenna array response with unitary RF processing for UPA in mm-wave hybrid MIMO system. Proposed training vectors achieve minimized total coherence of the equivalent sensing matrix for hybrid MIMO system. Open-loop channel estimation of the mm-wave channel is done by using iterative re-weight based super resolution algorithm to exploit its sparse nature. Extensive simulations reveal the benefit of coherence optimization where normalized mean squared error is reduced and spectral efficiency is improved in comparison to existing methods.https://www.radioeng.cz/fulltexts/2020/20_04_0625_0635.pdfchannel estimationcompressed sensinghybrid mimomm-wave communicationsparse channel |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
F. Akram I. Rashid A. Ghafoor A. M. Siddiqui |
spellingShingle |
F. Akram I. Rashid A. Ghafoor A. M. Siddiqui Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO Radioengineering channel estimation compressed sensing hybrid mimo mm-wave communication sparse channel |
author_facet |
F. Akram I. Rashid A. Ghafoor A. M. Siddiqui |
author_sort |
F. Akram |
title |
Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO |
title_short |
Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO |
title_full |
Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO |
title_fullStr |
Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO |
title_full_unstemmed |
Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO |
title_sort |
coherence optimized channel estimation for mm-wave massive mimo |
publisher |
Spolecnost pro radioelektronicke inzenyrstvi |
series |
Radioengineering |
issn |
1210-2512 |
publishDate |
2020-12-01 |
description |
Mm-wave MIMO communication makes a hybrid combination of analog RF and digital baseband processing more attractive, where digital baseband precoders/combiners able to adapt to the pre-defined analog (switch based) RF processors. Non-uniform two-dimensional quantized azimuth and elevation angle grid antenna array responses are suggested for uniform planar array (UPA) and are proven orthogonal. Training vectors (or sensing matrix) are designed for suggested antenna array response with unitary RF processing for UPA in mm-wave hybrid MIMO system. Proposed training vectors achieve minimized total coherence of the equivalent sensing matrix for hybrid MIMO system. Open-loop channel estimation of the mm-wave channel is done by using iterative re-weight based super resolution algorithm to exploit its sparse nature. Extensive simulations reveal the benefit of coherence optimization where normalized mean squared error is reduced and spectral efficiency is improved in comparison to existing methods. |
topic |
channel estimation compressed sensing hybrid mimo mm-wave communication sparse channel |
url |
https://www.radioeng.cz/fulltexts/2020/20_04_0625_0635.pdf |
work_keys_str_mv |
AT fakram coherenceoptimizedchannelestimationformmwavemassivemimo AT irashid coherenceoptimizedchannelestimationformmwavemassivemimo AT aghafoor coherenceoptimizedchannelestimationformmwavemassivemimo AT amsiddiqui coherenceoptimizedchannelestimationformmwavemassivemimo |
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1724381092566269952 |