Opportunity

CanadaBuys #UWORFPEW-1884

Reconfigurable Intelligent Surface and Workstations for Smart Radio Environment Lab

Posted

June 10, 2026

Respond By

June 30, 2026

Identifier

UWORFPEW-1884

NAICS

334290, 334220, 541715, 541512

The University of Western Ontario is seeking proposals for advanced wireless research infrastructure: - Government buyer: - University of Western Ontario (Western) - Procurement Services department - Products and services requested: - Supply and installation of a Reconfigurable Intelligent Surface (RIS) system - Enables experimental research in AI-driven next-generation (6G) wireless communication networks - Supports intelligent control of wireless propagation environments, real-time channel modeling, and hardware-aware system optimization - Capable of operation in both low-frequency (3.5 GHz – 5 GHz) and high-frequency (26 GHz – 30 GHz) bands - Allows controlled manipulation of signal reflection, phase shifting, and beamforming - High-performance computing workstations - For real-time AI/ML-based channel estimation and system-level evaluation - Unique or notable requirements: - RIS equipment must support research validation for RIS-assisted wireless communications - System must enable controlled manipulation of wireless signals for laboratory experimentation - No specific OEMs, vendors, or part numbers are named in the notice - Estimated budget: CAD $179,000 plus HST - Detailed technical requirements and quantities are available in the tender documents

Description

This solicitation invites offers for the supply and installation of a Reconfigurable Intelligent Surface (RIS) to establish Canada's first RIS-enabled Smart Radio Environment laboratory at Western University. The equipment will support research in AI-driven wireless communication networks, intelligent wireless environment control, real-time channel modeling, and system optimization. It will validate RIS-assisted wireless communications across low and high-frequency bands and include high-performance workstations for AI/ML-based channel estimation and system evaluation. Deployment will occur at the Thompson Engineering Building and will support research by graduate students, postdoctoral fellows, and faculty in wireless communications and related fields.

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