Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Al-Rizzo Hussain

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Unknown Researcher

1 h-index 5 pubs 3 cited

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

  • Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning (2026)
    Sensors 3 citations DOI OpenAlex
  • Maximum Ratio Transmission for Pedestrians’ Safety at Crosswalks in An Outdoor V2X Environment at 28 GHz (2026)
    Wireless World Research and Trends Magazine DOI OpenAlex
  • Channel Modeling using Deep Neural Network with RIS-powered Wireless Communication Systems (2026)
    Wireless World Research and Trends Magazine DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

6 Collaborators 4 Institutions 3 Countries

Top Collaborators

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