Al-Rizzo Hussain Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

UA Little Rock
Last publication 2026 Last refreshed 2026-05-16

unknown

5 pubs

Research Areas

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Lab Website

OverviewAI-generated summary

Al-Rizzo Hussain's research centers on advancements in wireless communication systems, particularly focusing on next-generation technologies like 6G. His work investigates the application of deep reinforcement learning to enhance spectral efficiency in downlink beamforming, a critical aspect of future wireless networks. Hussain also explores the use of Maximum Ratio Transmission for improving pedestrian safety at crosswalks within Vehicle-to-Everything (V2X) communication environments, specifically at the 28 GHz frequency band. Additionally, his research includes the development of channel modeling techniques utilizing deep neural networks, with an emphasis on Reconfigurable Intelligent Surface (RIS)-powered wireless communication systems. Hussain has a total of five publications and collaborates with Kumud S. Altmayer at the University of Arkansas at Little Rock.

Metrics

  • Publications: 5

Selected Publications

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

View all publications on OpenAlex →

Collaboration Network

6 Collaborators 4 Institutions 3 Countries

Top Collaborators

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