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Article: Robust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information

TitleRobust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information
Authors
Keywordsblock coordinate descent
channel state information
dynamic metasurface antenna
Millimeter-wave
near-field
non-orthogonal multiple access
Issue Date2024
Citation
IEEE Transactions on Wireless Communications, 2024 How to Cite?
AbstractFor millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication systems, we propose an innovative near-field (NF) transmission framework based on dynamic metasurface antenna (DMA) technology. In this framework, a base station (BS) utilizes the DMA hybrid beamforming technology combined with the NOMA principle to maximize communication efficiency between near-field users (NUs) and far-field users (FUs). In conventional communication systems, obtaining channel state information (CSI) requires substantial pilot signals, significantly reducing system communication efficiency. We propose a beamforming design scheme based on position information to address with this challenge. This scheme does not depend on pilot signals but indirectly obtains CSI by analyzing the geometric relationship between user position information and channel models. However, in practical applications, the accuracy of position information is challenging to guarantee and may contain errors. We propose a robust beamforming design strategy based on the worst-case scenario to tackle this issue. Since this problem is a multi-variable coupled non-convex problem, we employ a dual-loop iterative joint optimization algorithm to update beamforming using block coordinate descent (BCD) and derive the optimal power allocation (PA) expression. We analyze its convergence and complexity to verify the proposed algorithm's performance and robustness thoroughly. We validate the theoretical derivation of the CSI error bound through simulation experiments. Numerical results show that our proposed scheme performs better than traditional beamforming schemes. Additionally, the transmission framework exhibits strong robustness to NU and FU position errors, laying a solid foundation for the practical application of mmWave NOMA communication systems. The NF transmission framework for mmWave NOMA communication systems based on DMA technology proposed in this work shows significant advantages in improving communication sum rate, reducing reliance on pilot signals, and coping with position errors. This provides new insights for the future development of mmWave NOMA communication technology.
Persistent Identifierhttp://hdl.handle.net/10722/353245
ISSN
2023 Impact Factor: 8.9
2023 SCImago Journal Rankings: 5.371
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXiu, Yue-
dc.contributor.authorZhao, Yang-
dc.contributor.authorYang, Songjie-
dc.contributor.authorZhang, Yufeng-
dc.contributor.authorNiyato, Dusit-
dc.contributor.authorDu, Hongyang-
dc.contributor.authorWei, Ning-
dc.date.accessioned2025-01-13T03:02:50Z-
dc.date.available2025-01-13T03:02:50Z-
dc.date.issued2024-
dc.identifier.citationIEEE Transactions on Wireless Communications, 2024-
dc.identifier.issn1536-1276-
dc.identifier.urihttp://hdl.handle.net/10722/353245-
dc.description.abstractFor millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication systems, we propose an innovative near-field (NF) transmission framework based on dynamic metasurface antenna (DMA) technology. In this framework, a base station (BS) utilizes the DMA hybrid beamforming technology combined with the NOMA principle to maximize communication efficiency between near-field users (NUs) and far-field users (FUs). In conventional communication systems, obtaining channel state information (CSI) requires substantial pilot signals, significantly reducing system communication efficiency. We propose a beamforming design scheme based on position information to address with this challenge. This scheme does not depend on pilot signals but indirectly obtains CSI by analyzing the geometric relationship between user position information and channel models. However, in practical applications, the accuracy of position information is challenging to guarantee and may contain errors. We propose a robust beamforming design strategy based on the worst-case scenario to tackle this issue. Since this problem is a multi-variable coupled non-convex problem, we employ a dual-loop iterative joint optimization algorithm to update beamforming using block coordinate descent (BCD) and derive the optimal power allocation (PA) expression. We analyze its convergence and complexity to verify the proposed algorithm's performance and robustness thoroughly. We validate the theoretical derivation of the CSI error bound through simulation experiments. Numerical results show that our proposed scheme performs better than traditional beamforming schemes. Additionally, the transmission framework exhibits strong robustness to NU and FU position errors, laying a solid foundation for the practical application of mmWave NOMA communication systems. The NF transmission framework for mmWave NOMA communication systems based on DMA technology proposed in this work shows significant advantages in improving communication sum rate, reducing reliance on pilot signals, and coping with position errors. This provides new insights for the future development of mmWave NOMA communication technology.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Wireless Communications-
dc.subjectblock coordinate descent-
dc.subjectchannel state information-
dc.subjectdynamic metasurface antenna-
dc.subjectMillimeter-wave-
dc.subjectnear-field-
dc.subjectnon-orthogonal multiple access-
dc.titleRobust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TWC.2024.3511719-
dc.identifier.scopuseid_2-s2.0-85212340772-
dc.identifier.eissn1558-2248-
dc.identifier.isiWOS:001422950400009-

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