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5G Network Automation, Optimization and Analytics

CLOUD-NATIVE SOLUTIONS

Built on cloud-native systems to deliver solutions with high availability and dynamic scalability to meet the needs of 5G enterprise networks and  4G/5G HetNets of nationwide service providers.

REAL-TIME OPTIMIZATION

Improve the agility, performance and reliability of the LTE/5G networks with real-time RAN optimization.

LOWER OPERATING COSTS

Deliver operational efficiencies through automation of network deployment, optimization and maintenance.

AI ANALYTICS & INSIGHT

AI-based solutions delivering a broad spectrum of network intelligence, insight and deep learning for 5G autonomous network optimization.

Support for traditional and O-RAN architectures

AirHop solutions provide multi-vendor real-time coordinated RAN optimization for traditional RAN architectures with the eSON platform and for O-RAN based architectures with eSON xApps on O-RAN compliant near-real-time RIC platforms.

Delivering significant improvements in network performance

spectral efficiency gains
30%
increase in edge user data rates
75%
reduction in handover failures
80%

Commercially hardened solutions

AirHop real-time RAN optimization solutions have been deployed in commercial networks since 2016 and are currently managing 10s of thousands of macro cells and 100s of thousands of small cells (outdoor and enterprise indoor) in service provider networks.  AirHop eSON is supporting both traditional RAN architectures as well as cloud-native disaggregated Open-RAN solutions in the field.

CUSTOMERS & PARTNERS


 

UPCOMING EVENTS

CES 2021

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January 11th – January 14th, 2021 , Virtual
https://www.ces.tech

 Futurenet World 2021

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April 20th – April 21st, 2021 , Virtual
https://www.futurenetworld.net

MEDIA

AirHop is mentioned as part of the ABI 5G research report in this article on MarketWatch.

Find us on the current issue of AGL magazine, article on P. 14

Meeting the Wireless Demand Challenge Through SON-Optimized Ultra-Dense Small Cells

5G SON for MIMO

Significant Spectral Efficiency Gains Case Study

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