Resource library

RF Planning

Datasheet

Planet Cloud – Simplify your wireless network design

Simplify your wireless network planning, improve radio network design efficiency and roll out next generation networks faster with Planet Cloud

RF Planning

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Ellipse – Ensure your backhaul design and dimensioning seamlessly supports your mobile network

Deliver efficient backhaul dimensioning and microwave link planning with Ellipse

RF Planning

Datasheet

Planet - Deliver wireless network designs with AI-powered RF planning solution

Intelligently plan and optimize 2G, 3G, 4G and 5G networks with Planet’s powerful capabilities

Cloud

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NLA Cloud Platform™

Plan, test and assure your network with a single cloud-native platform for unparalleled scalability and optimal TCO.

RAN Optimization

Case Study

Ensuring Optimal Quality of Experience with Subscriber-Aware Network Optimization

Vipnet, a pioneer in the Croatian mobile telecommunications market services, serves over 2 million subscribers every day. In 2011, rapid expansionof the operator’s 3G network ampli ed the challengesalready faced by its optimization and quality team to keepup with traf c growth on the Croatian providers’ network.

RAN Optimization

Case Study

Ooredoo Oman Adopts Xeus to Increase Daily Network Optimization Workflow Efficiency

Ooredoo Oman was founded and registered in the Sultanate of Oman in December 2004. It launched its service in March 2005 as the challenger mobile operator in Oman operating under the name Nawras.

5G

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From 2G, to IoT and 5G - Make Timely and Accurate Planning and Optimization Decisions

Infovista’s Planet is an innovative, market-leading RF planning and optimization solution that helps mobile operators plan and optimize the performance of current and emerging technologies such as IoT and 5G.

5G

Datasheet

Superior Planning, Management and Optimization of Next-Generation Backhaul Networks

The pressure on mobile operators to upgrade and expand legacy transmission infrastructure for LTE and LTE-Advanced backhaul is here to stay.