Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM
In multi-antenna transceivers with all-digital beamforming, the number of radio frequency (RF) chains necessarily equals the number of antennas, which entails a large hardware complexity and power consumption when deploying large antenna arrays. Hybrid beamforming, which splits the beamforming into...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10444516/ |
| _version_ | 1797272722044092416 |
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| author | Sander Cornelis Nele Noels Marc Moeneclaey |
| author_facet | Sander Cornelis Nele Noels Marc Moeneclaey |
| author_sort | Sander Cornelis |
| collection | DOAJ |
| description | In multi-antenna transceivers with all-digital beamforming, the number of radio frequency (RF) chains necessarily equals the number of antennas, which entails a large hardware complexity and power consumption when deploying large antenna arrays. Hybrid beamforming, which splits the beamforming into an analog part operating at RF and a digital part operating at baseband, allows using as few RF chains as the number of data streams. A further reduction in the RF hardware cost is achieved by imposing additional constraints on the analog beamformer, such as single-phase-shifter implementation and limited connectivity between the RF chains and antennas. In this contribution we consider a downlink multi-user MISO OFDM communication system and present a novel approach for obtaining the linear hybrid precoder that maximizes the weighted sumrate (WSR) under the above constraints on the analog part. Unlike the WSR maximizing hybrid precoders from the literature, our approach exploits the uplink-downlink duality and performs a gradient-based optimization over a suitable manifold which describes the search space as determined by the imposed constraints. The proposed approach gives rise to a WSR maximizing precoder with a better trade-off between performance and computational complexity compared with WSR maximizing precoders from the literature. From this WSR maximizing precoder, two reduced-complexity heuristic precoders are derived, which outperform state-of-the-art heuristic precoders from the literature, in terms of spectral efficiency and/or computational complexity. The performance of the WSR maximizing precoder provides a useful theoretical benchmark for any heuristic precoder with the same constraints on the analog part. |
| first_indexed | 2024-03-07T14:33:26Z |
| format | Article |
| id | doaj.art-e20cda3592ef457c989f24b8c5e03d85 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-07T14:33:26Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e20cda3592ef457c989f24b8c5e03d852024-03-06T00:01:04ZengIEEEIEEE Access2169-35362024-01-0112307003072210.1109/ACCESS.2024.336944510444516Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDMSander Cornelis0https://orcid.org/0000-0002-0661-4340Nele Noels1https://orcid.org/0000-0001-8741-5222Marc Moeneclaey2https://orcid.org/0000-0002-0759-7140Department of Telecommunications and Information Processing (TELIN), Ghent University, Ghent, BelgiumDepartment of Telecommunications and Information Processing (TELIN), Ghent University, Ghent, BelgiumDepartment of Telecommunications and Information Processing (TELIN), Ghent University, Ghent, BelgiumIn multi-antenna transceivers with all-digital beamforming, the number of radio frequency (RF) chains necessarily equals the number of antennas, which entails a large hardware complexity and power consumption when deploying large antenna arrays. Hybrid beamforming, which splits the beamforming into an analog part operating at RF and a digital part operating at baseband, allows using as few RF chains as the number of data streams. A further reduction in the RF hardware cost is achieved by imposing additional constraints on the analog beamformer, such as single-phase-shifter implementation and limited connectivity between the RF chains and antennas. In this contribution we consider a downlink multi-user MISO OFDM communication system and present a novel approach for obtaining the linear hybrid precoder that maximizes the weighted sumrate (WSR) under the above constraints on the analog part. Unlike the WSR maximizing hybrid precoders from the literature, our approach exploits the uplink-downlink duality and performs a gradient-based optimization over a suitable manifold which describes the search space as determined by the imposed constraints. The proposed approach gives rise to a WSR maximizing precoder with a better trade-off between performance and computational complexity compared with WSR maximizing precoders from the literature. From this WSR maximizing precoder, two reduced-complexity heuristic precoders are derived, which outperform state-of-the-art heuristic precoders from the literature, in terms of spectral efficiency and/or computational complexity. The performance of the WSR maximizing precoder provides a useful theoretical benchmark for any heuristic precoder with the same constraints on the analog part.https://ieeexplore.ieee.org/document/10444516/Wireless communicationmassive MIMOhybrid precoderMU-MISO-OFDMoptimization over manifolds |
| spellingShingle | Sander Cornelis Nele Noels Marc Moeneclaey Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM IEEE Access Wireless communication massive MIMO hybrid precoder MU-MISO-OFDM optimization over manifolds |
| title | Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM |
| title_full | Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM |
| title_fullStr | Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM |
| title_full_unstemmed | Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM |
| title_short | Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM |
| title_sort | weighted sumrate maximizing hybrid precoder for mu miso ofdm |
| topic | Wireless communication massive MIMO hybrid precoder MU-MISO-OFDM optimization over manifolds |
| url | https://ieeexplore.ieee.org/document/10444516/ |
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