Optimization Techniques for RISs - AI/ML webinar

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Special Presentation on “A Comprehensive Overview of Optimization Techniques for RISs”

by Dr. Hao Zhou (MgGill University, Canada)

Hosted by Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, February 15^th, 2024 @ 12:00 UTC

Registration Link: https://bit.ly/FN-AIML-15Feb2024

Topic:

Optimization Techniques for RISs

Abstract:

Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key enabler for envisioned 6G networks, for the purpose of improving the network capacity, coverage, efficiency, and security with low energy consumption and low hardware cost. However, integrating RISs into the existing infrastructure greatly increases the network management complexity, especially for controlling a significant number of RIS elements. To unleash the full potential of RISs, efficient optimization approaches are of great importance. This talk will provide a comprehensive overview of state-of-the-art optimization techniques for RIS-aided 6G, e.g., model-based, heuristic, and especially machine learning (ML) algorithms. It will present in-depth analyses of the features, advantages, and difficulties of using various optimization techniques. In addition, it will also present some novel techniques for RIS-optimization, e.g., combining heuristic algorithms with machine learning techniques to enable higher flexibility.