Al-Rizzo Hussain
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Researcher
Unknown Researcher
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Biography and Research Information
OverviewAI-generated summary
Al-Rizzo Hussain's research focuses on advancements in wireless communication systems, particularly for future 6G networks. His work investigates the application of deep reinforcement learning for enhancing spectral efficiency in downlink beamforming. Hussain also explores the use of Maximum Ratio Transmission to improve pedestrian safety at crosswalks within vehicular-to-everything (V2X) environments. Additionally, his research involves channel modeling using deep neural networks in the context of Reconfigurable Intelligent Surface (RIS)-powered wireless communication systems. He has published five papers and has an h-index of 1.
Metrics
- h-index: 1
- Publications: 5
- Citations: 3
Selected Publications
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Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning (2026)
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Maximum Ratio Transmission for Pedestrians’ Safety at Crosswalks in An Outdoor V2X Environment at 28 GHz (2026)
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Channel Modeling using Deep Neural Network with RIS-powered Wireless Communication Systems (2026)
Collaboration Network
Top Collaborators
- Channel Modeling using Deep Neural Network with RIS-powered Wireless Communication Systems
- Channel Modeling using Deep Neural Network with RIS-powered Wireless Communication Systems
- Maximum Ratio Transmission for Pedestrians’ Safety at Crosswalks in An Outdoor V2X Environment at 28 GHz
- Maximum Ratio Transmission for Pedestrians’ Safety at Crosswalks in An Outdoor V2X Environment at 28 GHz
- Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning
- Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning
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