Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems

Research article (IEEE Transactions on Green Communications and Networking, 2021) · cited 41× · AI/ML
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Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems

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Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-beam-selection-with-low-complexity-hybrid-beamforming-design-for-5g-massive-mimo-systems
MLA “Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-beam-selection-with-low-complexity-hybrid-beamforming-design-for-5g-massive-mimo-systems.
BibTeX @misc{4ortxyz_machine-learning-based-beam-selection-with-low-complexity-hybrid-beamforming-design-for-5g-massive-mimo-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-beam-selection-with-low-complexity-hybrid-beamforming-design-for-5g-massive-mimo-systems}, note = {Accessed: 2026-05-24}}
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