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Machine Learning-Enhanced Beamforming in RIS-Assisted 6G SAGIN IoT Principles Applications and Management by Ranjani .S is a document available to read on EtoBox.
What is Machine Learning-Enhanced Beamforming in RIS-Assisted 6G SAGIN IoT Principles Applications and Management about?
The document discusses the integration of Machine Learning-Enhanced Beamforming with Reflective Intelligent Surfaces (RIS) in 6G Space-Ground Integrated Networks (SAGIN) for IoT applications. It highlights the potential of RIS to improve signal transmission and reduce costs while addressing challenges in wireless communication systems. The paper also introduces a sparse Bayesian super-resolution estimation method for optimizing channel estimation in RIS-assisted networks, emphasizing its effectiveness in en
- Author
- Ranjani .S
- Language
- EN