Dual-polarized Base Station Antenna Design using Machine Learning-Assisted Optimization Method

Wang, Subin; Wu, Qi; Chen, Yu; Wang, Haiming; Wang, Hong; Yin, Weishuang

doi:10.1109/aps/ursi47566.2021.9704698

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B Machine Learning Assisted Base Station Parameter Optimization1

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2024

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Cited by 4 publications

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“…Machine learning's impact on handover parameter optimization in self-organizing networks has been substantial [17]- [19]. Wang et al [20] innovated base station design optimization using machine learning techniques. Power allocation optimization in heterogeneous environments, as demonstrated in [21], is another principal use case.…”

Section: B Machine Learning Assisted Base Station Parameter Optimizationmentioning

confidence: 99%

Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)

Jayakumar,

Conte

2024

2024 IEEE 21st Consumer Communications &Amp; Networking Conference (CCNC)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: B Machine Learning Assisted Base Station Parameter Optimizationmentioning

confidence: 99%

Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)

Jayakumar,

Conte

2024

2024 IEEE 21st Consumer Communications &Amp; Networking Conference (CCNC)

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CeDA-BatOp 2.0: Enhanced Framework for Base Station Parameter Optimization and Automation with Joint Optimization, Controlled Drift Analysis and Pseudo-Labeling

Jayakumar,

Conte

2023

2023 9th International Conference on Computer and Communications (ICCC)

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Optimal Design of Wideband Bandpass SIW Filters for 5G Millimeter-Wave Applications

Yang

Wang

et al. 2021

2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE)

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Dual-polarized Base Station Antenna Design using Machine Learning-Assisted Optimization Method

Cited by 4 publications

References 3 publications

Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)

Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)

CeDA-BatOp 2.0: Enhanced Framework for Base Station Parameter Optimization and Automation with Joint Optimization, Controlled Drift Analysis and Pseudo-Labeling

Optimal Design of Wideband Bandpass SIW Filters for 5G Millimeter-Wave Applications

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