Deep Learning Based Analog Beamforming Design for Millimetre Wave Massive MIMO System

Rajdeep Singh Sohal; Vinit Grewal; Jaipreet Kaur; Maninder Lal Singh

doi:10.1007/s11277-022-09766-z

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JOURNAL ARTICLE

Deep Learning Based Analog Beamforming Design for Millimetre Wave Massive MIMO System

Rajdeep Singh Sohal Vinit Grewal Jaipreet Kaur Maninder Lal Singh

Year: 2022 Journal: Wireless Personal Communications Vol: 126 (1)Pages: 701-717 Publisher: Springer Science+Business Media

DOI: 10.1007/s11277-022-09766-z

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Keywords:

Computer science MIMO Beamforming Robustness (evolution) Base station Channel state information Precoding Spectral efficiency Artificial neural network Channel (broadcasting) Maximization Electronic engineering Telecommunications Wireless Artificial intelligence Mathematical optimization Mathematics Engineering

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Millimeter-Wave Propagation and Modeling

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Microwave Engineering and Waveguides

Physical Sciences → Engineering → Electrical and Electronic Engineering

Deep Learning Based Analog Beamforming Design for Millimetre Wave Massive MIMO System

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