Cognitive Millimetre Wave Technologies

AI Powered Wireless Infrastructure Innovation

Transform Your mmWave Wireless Infrastructure with Plug-and-Play Cognitive Embedded Systems

Millimetre Wave Communications: A $153 Billion Market Facing Critical Technical Limitations

The mmWave communications market is projected to reach $153.4 billion by 2034 (39.7% CAGR), driven by AI data centres, 5G/6G networks, satellite links, automotive radars, and critical communications systems. However, scalable mmWave deployment is impeded by core technical constraints that fixed-function architectures cannot address.

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^ Markets & Markets (2024)   * UK government (2024)    † Statistica (2023)    ∞ European Space Agency (2025)

Challenges that undermine the performance and reliability of mission-critical mmWave links

  • Spatio-temporally varying path loss - degrading transmission and reliability

  • Co-channel interference in dense RF environments

  • High-energy consumption of RF front-ends

  • Vulnerabilities to eavesdropping, jamming and Denial-of-Service

  • Fixed function hardware configurations unable to adapt to dynamic operating conditions

Our Solution: Cognitive Embedded Systems

AI-powered embedded systems that optimise mmWave communications in real-time, transforming technical constraints into strategic advantages.

Integrated Plug-and-Play Hardware
Embedded low-power processing, high-speed memory integration, and application-specific interfaces

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On-Device Edge Intelligence
Lightweight ML/inference models for real-time, on-board optimisation

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Adaptive RF Management
Cognitive spectrum control, adaptive modulation, and interference mitigation across Ka-, Q/V-, E-, and W-bands

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Predictive Maintenance & Resilience
Real-time fault detection, dynamic tuning, and autonomous cognitive healing

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Enhanced Energy Efficiency
Intelligent power management reducing consumption by up to 40% compared with fixed-function hardware

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Scalable, Future-Proof Design
Customisable for AI data centres, satellite, 5G/6G, automotive radar, and supports emerging 6G protocols

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Applications & Market Veticals

Digital illustration of a connected autonomous vehicle system with a car, communication towers, satellite dish, control units, and shield icon representing cybersecurity.

Satellite Communications: Enhanced payload efficiency, adaptive beamforming and reliability

AI Data Centres: High-bandwidth mmWave RF links as energy-efficient alternatives to optic fibre

Automotive Radar: Adaptive performance tuning in dynamic driving environments

5G/6G Networks: Cognitive backhaul optimisation and interference management

Critical Communications: Mission-critical reliability for defence and emergency services

Quantified Performance Gains

46% improvement in signal reliability via adaptive channel management

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46% improvement in signal reliability via adaptive channel management

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20-40% energy savings compared to fixed function architectures

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46% improvement in signal reliability via adaptive channel management

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Resources & Use Cases

Resources - Millimetre Wave Technologies
Operational Limitations of Solid-State Power Amplifiers in mmWave Satellite Communications: Critical Challenges for Next-Generation Systems
Millimetre Wave Technologies
Operational Limitations of Solid-State Power Amplifiers in mmWave Satellite Communications: Critical Challenges for Next-Generation Systems
Millimetre Wave Technologies

Explore the critical performance barriers of millimetre-wave Solid-State Power Amplifiers in Q/V-, E-, and W-bands and their impact on next-generation satellite constellations. Discover why output power, efficiency, thermal management, and architectural constraints demand revolutionary approaches—unlocking the path to ultra-high-throughput, resilient space communications.

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Millimetre Wave Technologies
High Power Amplifiers in Modern Data Centres: Engineering Challenges and Market Opportunities
Millimetre Wave Technologies, AI Integration
High Power Amplifiers in Modern Data Centres: Engineering Challenges and Market Opportunities
Millimetre Wave Technologies, AI Integration

Discover how Gallium Nitride (GaN) and next-gen semiconductor technologies are reshaping high-power RF amplification in next-generation data centres. This white paper dives into technical specifications, market trends, linearization techniques, and AI-driven optimization across RF and millimetre-wave bands—offering actionable insights for engineers and decision-makers alike.

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Millimetre Wave Technologies, AI Integration

Development Stage, Next Steps and Strategic Partnerships

Current Stage:

  • Laboratory validation with confirmed performance gains

  • Digital twins and lightweight ML models have been developed

  • Edge-inference optimisation has been demonstrated

Next Steps

  • Prototype refinement and field trials

  • Minimum viable product development

  • Preparation for commercial launch

Strategic Partnerships

Seeking collaborations with system integrators, technology partners, research institutions and investors for deployment, capability enhancement, advanced R&D and accelerated growth.

Currently prioritising UK-based partnerships to leverage national innovation funding and regulatory alignment.