AI/ML For Wi-Fi – Phase 2: POCs

TRENDS AND OPPORTUNITIES

Wi-Fi continues to grow in complexity with features such as MU-MIMO, OFDMA, and multi-link operations, while high-throughput applications including AR/VR, gaming, and AI intensify performance demands.

Meeting these expectations requires more intelligent network optimization.

Artificial Intelligence (AI) and Machine Learning (ML) have become essential, leveraging large data sets to deliver actionable insights.

Applied to Wi-Fi, AI/ML can analyze extensive telemetry, predict issues, and automate decisions that enhance user experience and streamline network management.

BUSINESS & MARKET BENEFITS

This project aims to explore comprehensive applications of Artificial Intelligence/Machine Learning (AI/ML) in Wi-Fi.

Leveraging the diverse WBA membership, the initiative focuses on collecting and training models for industry-wide benefits which develop robust, scalable AI/ML solutions for end-to-end Wi-Fi optimization and disruptive services.

• Compose a report on AI/ML enablement for end-to-end Wi-Fi deployments.
• Conduct a thorough analysis encompassing business investments, growth prospects, critical use cases, technical and business challenges, market needs, and solution evaluations.

EXPECTED OUTCOMES

Phase 1 will deliver a detailed report on AI/ML enablement for end-to-end Wi-Fi, covering business investments, growth potential, key use cases, challenges, market needs, and current solutions. It will identify gaps, outline collaboration opportunities for standardization and certification, and assess future AI/ML direction in Wi-Fi.

Phase 2 will expand on these findings, proposing solutions that address identified opportunities and executing POCs with partners such as residential operators. Additional priorities include establishing standardization frameworks, enabling data sharing and anonymization, promoting open-source interoperability, defining AI/ML benchmarking and certification, and addressing trust, governance, and policy requirements.