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GitHub / khinthandarkyaw98 / Optimization-of-Transmit-Beamforming-and-RIS-Coefficients-Using-Channel-Covariances-in-MISO-Downlink

Neural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khinthandarkyaw98%2FOptimization-of-Transmit-Beamforming-and-RIS-Coefficients-Using-Channel-Covariances-in-MISO-Downlink
PURL: pkg:github/khinthandarkyaw98/Optimization-of-Transmit-Beamforming-and-RIS-Coefficients-Using-Channel-Covariances-in-MISO-Downlink

Stars: 3
Forks: 1
Open issues: 1

License: None
Language: Python
Size: 3.55 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago

Topics: cvxpy, neural-networks, numpy, optimization, pydot, python, reconfigurable-intelligent-surfaces, scipy, semidefinite-programming, tensorflow, wireless-communication

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