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Channel feedback in FDD massive MIMO systems with multiple-antenna users

In this thesis, we consider the problem of Angle of Departure (AoD) based channel feedback in Frequency Division Duplex (FDD) massive Multiple- Input Multiple-Output (MIMO) systems with multiple antennas at the users. We consider the use of Zero-Forcing Block Diagonalization (BD) as the down- link p...

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Main Author: Mahmoud, Mahmoud AlaaEldin
Format: Thesis
Published: AUC Knowledge Fountain 2019
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access_status_str Open Access
author Mahmoud, Mahmoud AlaaEldin
author_browse Mahmoud, Mahmoud AlaaEldin
author_facet Mahmoud, Mahmoud AlaaEldin
author_sort Mahmoud, Mahmoud AlaaEldin
collection Thesis
dc_rights_str_mv The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. The author has granted the American University in Cairo or its agents a non-exclusive license to archive this thesis, dissertation, paper, or record of study, and to make it accessible, in whole or in part, in all forms of media, now or hereafter known.
description In this thesis, we consider the problem of Angle of Departure (AoD) based channel feedback in Frequency Division Duplex (FDD) massive Multiple- Input Multiple-Output (MIMO) systems with multiple antennas at the users. We consider the use of Zero-Forcing Block Diagonalization (BD) as the down- link precoding scheme. We consider two different cases; one in which the number of streams intended for a user equals the number of antennas at that user and the other case in which the number of streams is less than the number of user antennas. BD requires the feedback of the subspace spanned by the channel matrix at the user or a subspace of it in the case of having a smaller number of streams than the number of antennas at a specific user. Based on our channel model, we propose a channel feedback scheme that requires less feedback overhead compared to feeding back the whole channel matrix. Then, we quantify the rate gap between the rate of the system with perfect Channel State Information (CSI) at the massive MIMO Basestation (BS) and our proposed channel feedback scheme for a given number of feedback bits. Finally, we design feedback codebooks based on optimal subspace packing in the Grassmannian manifold. We show that our proposed codes achieve performance that is very close to the performance of the system with perfect CSI at the BS. We also propose a vector quantization scheme to quantize the channel matrix of the user when optimal power allocation across multiple streams is adopted. Sim- ulation results show that the vector quantization scheme combined with power optimization across the streams outperforms the subspace quantiza- tion scheme at the low SNR regime. However, the situation is reversed at high SNR levels and subspace quantization with uniform power allocation becomes better.
format Thesis
id oai:fount.aucegypt.edu:etds-2607
institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:50.652Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher AUC Knowledge Fountain
publisherStr AUC Knowledge Fountain
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source_str AUC Knowledge Fountain — bepress
spelling oai:fount.aucegypt.edu:etds-2607 Channel feedback in FDD massive MIMO systems with multiple-antenna users Mahmoud, Mahmoud AlaaEldin In this thesis, we consider the problem of Angle of Departure (AoD) based channel feedback in Frequency Division Duplex (FDD) massive Multiple- Input Multiple-Output (MIMO) systems with multiple antennas at the users. We consider the use of Zero-Forcing Block Diagonalization (BD) as the down- link precoding scheme. We consider two different cases; one in which the number of streams intended for a user equals the number of antennas at that user and the other case in which the number of streams is less than the number of user antennas. BD requires the feedback of the subspace spanned by the channel matrix at the user or a subspace of it in the case of having a smaller number of streams than the number of antennas at a specific user. Based on our channel model, we propose a channel feedback scheme that requires less feedback overhead compared to feeding back the whole channel matrix. Then, we quantify the rate gap between the rate of the system with perfect Channel State Information (CSI) at the massive MIMO Basestation (BS) and our proposed channel feedback scheme for a given number of feedback bits. Finally, we design feedback codebooks based on optimal subspace packing in the Grassmannian manifold. We show that our proposed codes achieve performance that is very close to the performance of the system with perfect CSI at the BS. We also propose a vector quantization scheme to quantize the channel matrix of the user when optimal power allocation across multiple streams is adopted. Sim- ulation results show that the vector quantization scheme combined with power optimization across the streams outperforms the subspace quantiza- tion scheme at the low SNR regime. However, the situation is reversed at high SNR levels and subspace quantization with uniform power allocation becomes better. 2019-01-21T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1572 https://fount.aucegypt.edu/context/etds/article/2607/viewcontent/Thesis_20__20Mahmoud_20AlaaEldin.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. The author has granted the American University in Cairo or its agents a non-exclusive license to archive this thesis, dissertation, paper, or record of study, and to make it accessible, in whole or in part, in all forms of media, now or hereafter known. Theses and Dissertations AUC Knowledge Fountain Massive MIMO channel feedback
spellingShingle Massive MIMO
channel feedback
Mahmoud, Mahmoud AlaaEldin
Channel feedback in FDD massive MIMO systems with multiple-antenna users
title Channel feedback in FDD massive MIMO systems with multiple-antenna users
title_full Channel feedback in FDD massive MIMO systems with multiple-antenna users
title_fullStr Channel feedback in FDD massive MIMO systems with multiple-antenna users
title_full_unstemmed Channel feedback in FDD massive MIMO systems with multiple-antenna users
title_short Channel feedback in FDD massive MIMO systems with multiple-antenna users
title_sort channel feedback in fdd massive mimo systems with multiple antenna users
topic Massive MIMO
channel feedback
url https://fount.aucegypt.edu/etds/1572
https://fount.aucegypt.edu/context/etds/article/2607/viewcontent/Thesis_20__20Mahmoud_20AlaaEldin.pdf
work_keys_str_mv AT mahmoudmahmoudalaaeldin channelfeedbackinfddmassivemimosystemswithmultipleantennausers