ElasticMIMO™

Silicon

Edge
Software

Cloud Analytics
& Control

The increasing multitude of connected devices and the growing complexity of Wi-Fi applications
including Internet and data, 4K video, IoT, smart home apps and more, is straining Wi-Fi beyond
its capabilities. Integrated Wi-Fi Chips, edge software and cloud technology delivering the best
Wi-Fi experience, anywhere, anytime and on any device.

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ElasticMIMO™

The right MIMO configuration, when and where you need it.

image/svg+xml Rigid MIMO (Conventional WiFi) Elastic MIMOTM (Celeno's WiFi) HWRangeLimit 2.4GHz 2.4GHz 2X2 3X3 4X4 5X5 6X6 5GHz 5GHz 2X2 3X3 4X4 5X5 6X6 ElasticMIMO

Celeno’s ElasticMIMO™ combines disruptive silicon architecture (available in the CL8000 product family) and optimization engine to dynamically allocate a 8T8R radio chains bank between the 2.4GHz, 5GHz and in the future 6GHz bands, as and when appropriate, to ensure the best user experience.

The dynamic allocation is driven by self-learning the actual Wi-Fi usage patterns, allowing the Wi-Fi Access Point to self-adapt accordingly, resulting in an elastic MIMO configuration that ranges from 2x2 to 6x6 per Wi-Fi band as and when needed. This is as opposed to conventional systems, hard-wired when shipped. This dynamic allocation delivers up to two times higher Wi-Fi network performance in a typical home environment compared to a conventional, rigid 4x4 (2.4GHz) + 4x4 (5GHz) MIMO configuration. The solution addresses the #1 challenge for Wi-Fi – delivering high-quality experience anywhere, anytime and on any device based on real Wi-Fi usage patterns.

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Silicon

High-performance silicon with above standard features in a cost-effective small form-factor package, improving Wi-Fi efficiency, performance and coverage
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Argus

Argus is Celeno’s in-silicon RF and DSP-based spectrum analyzer and intelligence engine. This engine seamlessly scans the spectrum and enables longer periods of characterizations of all the channels. In turn, these valuable insights can be fed to and used by RRM (Radio Resource Management), power true Zero-Wait DFS and enable dynamic channel change which adaptively chooses the least crowded or best channel for the device without interrupting service, thus maximizing system performance in dense and interfered environments.
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Smart Antenna Steering (SAS)

Smart Antenna Steering (SAS) algorithms enhance performance and coverage in different environments and at different ranges, both horizontally and vertically. The algorithms constantly triangulate the spatial location and position of each client device and selects the best antenna set ensuring that the Wi-Fi radio waves are best focused in space on each client.
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Edge Software

Edge software to enable a managed solution for single and/or multi-Access Point Wi-Fi
networks, optimizing network performance and capacity.
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OptimizAIR™

OptimizAIR™ enables the provisioning, enforcement and dynamic allocation of Wi-Fi resources per multiple virtual networks (SSID) per service, per device and per traffic direction all served by the same Wi-Fi Access Point. It allows various applications to be served simultaneously over Wi-Fi with different enforced priority and capacity.
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ControlAIR™

ControlAIR™ is smart multi-AP Wi-Fi controller software that enables multiple smart Wi-Fi access points, repeaters, extenders, IoT hubs and gateways to be deployed in harmonious and synchronized co-existence. ControlAIR enables intelligent network behavior such as client handover and load balancing between Wi-Fi cells, client steering, spectrum management, and more.
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Cloud Analytics & Control

Cloud software for multi-network self-optimization, delivering full system
visibility, analytics, alerts, and automated control.
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SupervizAIR™

Cloud Analytics & Control enables a monitoring, data logging, analytics and reporting platform for large scale Wi-Fi networks, providing visibility on network, AP and device health over time. The cloud platform analyzes the data and optimizes the system configuration accordingly. When sub-optimal conditions that cannot be autonomously resolved are identified, the system triggers intelligent alerts for predictive fault prevention and proactive maintenance.