Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access
For ultralow-power Internet of Things, we consider a monostatic multiantenna backscatter communication network (MBCN) supporting massive devices through nonorthogonal multiple access (NOMA) over space division multiple access (SDMA). For the network, we optimize the transmit beamforming (BF) for sig...
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IEEE
2021-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9400362/ |
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author | Gerardo Sacarelo Yun Hee Kim |
author_facet | Gerardo Sacarelo Yun Hee Kim |
author_sort | Gerardo Sacarelo |
collection | DOAJ |
description | For ultralow-power Internet of Things, we consider a monostatic multiantenna backscatter communication network (MBCN) supporting massive devices through nonorthogonal multiple access (NOMA) over space division multiple access (SDMA). For the network, we optimize the transmit beamforming (BF) for signal excitation of a reader, reflection coefficients of devices for backscattering and energy harvesting, and receive BF for information decoding at the reader toward the maximum fairness in data collection. We first show that the optimization problem for the MBCN without successive interference cancellation (SIC) has a similarity with the problem considered for a wireless power communication network but the conventional algorithm is not applicable to the MBCN with SIC. Thus, we propose a new alternating optimization algorithm that is applicable to both problems with and without SIC at a lower complexity. Simulation results show that the proposed algorithm provides a remarkable gain over the conventional one for the MBCN with SIC while exhibiting a similar performance for the MBCN without SIC. In addition, NOMA/SDMA enhanced by the proposed algorithm increases the minimum system throughput as well as the total energy harvested in the network by utilizing limited resources more effectively for a larger number of devices. |
first_indexed | 2024-12-24T01:18:32Z |
format | Article |
id | doaj.art-8564e1d7d70344b28007664debd1f713 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-24T01:18:32Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-8564e1d7d70344b28007664debd1f7132022-12-21T17:22:43ZengIEEEIEEE Access2169-35362021-01-019561045611410.1109/ACCESS.2021.30724819400362Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple AccessGerardo Sacarelo0https://orcid.org/0000-0002-7210-5413Yun Hee Kim1https://orcid.org/0000-0003-1013-7046Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, South KoreaDepartment of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, South KoreaFor ultralow-power Internet of Things, we consider a monostatic multiantenna backscatter communication network (MBCN) supporting massive devices through nonorthogonal multiple access (NOMA) over space division multiple access (SDMA). For the network, we optimize the transmit beamforming (BF) for signal excitation of a reader, reflection coefficients of devices for backscattering and energy harvesting, and receive BF for information decoding at the reader toward the maximum fairness in data collection. We first show that the optimization problem for the MBCN without successive interference cancellation (SIC) has a similarity with the problem considered for a wireless power communication network but the conventional algorithm is not applicable to the MBCN with SIC. Thus, we propose a new alternating optimization algorithm that is applicable to both problems with and without SIC at a lower complexity. Simulation results show that the proposed algorithm provides a remarkable gain over the conventional one for the MBCN with SIC while exhibiting a similar performance for the MBCN without SIC. In addition, NOMA/SDMA enhanced by the proposed algorithm increases the minimum system throughput as well as the total energy harvested in the network by utilizing limited resources more effectively for a larger number of devices.https://ieeexplore.ieee.org/document/9400362/Backscatter communicationbeamformingnonorthogonal multiple accessreflection coefficientsuccessive interference cancellation |
spellingShingle | Gerardo Sacarelo Yun Hee Kim Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access IEEE Access Backscatter communication beamforming nonorthogonal multiple access reflection coefficient successive interference cancellation |
title | Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access |
title_full | Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access |
title_fullStr | Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access |
title_full_unstemmed | Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access |
title_short | Beamforming and Reflection Coefficient Control for Multiantenna Backscatter Communication With Nonorthogonal Multiple Access |
title_sort | beamforming and reflection coefficient control for multiantenna backscatter communication with nonorthogonal multiple access |
topic | Backscatter communication beamforming nonorthogonal multiple access reflection coefficient successive interference cancellation |
url | https://ieeexplore.ieee.org/document/9400362/ |
work_keys_str_mv | AT gerardosacarelo beamformingandreflectioncoefficientcontrolformultiantennabackscattercommunicationwithnonorthogonalmultipleaccess AT yunheekim beamformingandreflectioncoefficientcontrolformultiantennabackscattercommunicationwithnonorthogonalmultipleaccess |