Ellipse | 5G Backhaul Network Planning| Infovista

Product Overview

Ellipse is state-of-the art software for the planning, dimensioning and optimization of any wireless or wired backhaul network. It is an integrated component of the Infovista RAN planning suite designed to plan and optimize the transmission links for 4G/LTE expansion and deployment of 5G networks, including microwave radio midhaul, backhaul and fronthaul links either using wireless or wired technologies.

Relying on trusted engineering methods, Ellipse incorporates all the latest ITU and 3GPP specifications required for the most accurate and efficient transport network design and optimization. More than just another microwave engineering tool, Ellipse is a carrier-grade platform that supports the entire backhaul lifecycle, from design to optimization, and offers unique automated design and reporting capabilities allowing ISPs to expedite their backhaul engineering activities.

Enhanced to support the design of the latest 5G X-haul technologies relying on point-to-point and/or point-to-multipoint wireless transmission, Ellipse helps you to easily upgrade your transport network and secure backhaul availability and capacity.

Key Benefits

Get your backhaul 5G-ready

5G network and mobile usages are driving strong backhaul capacity needs. Ellipse helps you to proactively plan and upgrade large transmission networks in support of 5G. Consider mmWave frequencies, line of sight (LOS) and non-line-of-sight connections. Analyse the impact of carrier aggregation, MIMO, multiband links and adaptive modulation for your 5G transport planning.

Transport networks fit for 5G use cases

The introduction of 5G globally is driving RAN densification, new network architectures, and innovative use cases with stringent performance requirements in terms of throughput, latency and reliability – putting new constraints on transport. Supporting the latest wireless backhaul technologies and new spectrum, Ellipse helps you to quickly plan your transport network upgrade that will meet these heavy 5G requirements.

Control backhauling costs

Managing combined wired and wireless backhaul networks, Ellipse allows you to accurately forecast and dimension required backhaul upgrades, based on least-cost routing and capacity assessments, and determine fiber vs. microwave backhaul feasibility. By assigning channels using smart and proven algorithms, best usage of your spectrum asset is garanteed to maximise ROI.

Secure robust transport capacity

Simulation accuracy is paramount for software analyses to be realized in the real world. With accurate backhaul design, the right link dimensioning can be achieved that brings on capacity in stages when required and provides the highest backhaul link reliability. Scale capacity requirements to determine if near-term plans can grow to meet the anticipated 5G capacity requirements.

Features & Use Cases

Simulation accuracy for link performance analysis

Ellipse features a full path-profile analysis that includes Fresnel zone clearance, multiple k-factors, terrain/clutter/building visualization, reflection analysis and antenna height optimization. The software also includes multiple propagation models, rain rate models, water vapor models, performance models as well as diversity models to ensure simulation accuracy.

LOS and NLOS backhaul planning

The advanced reflection analyses aid small-cell backhaul planning on high frequencies in urban areas – a key capability in support of 5G mmWave network deployment. Additionally, detailed interference analysis and Automatic Channel Allocation allow transmission planning engineers to cost efficiently, and meet reliability, capacity, quality and availability targets.

Seamless integration with Planet

Ellipse can be integrated directly with Planet. Allowing for transmission links - planned and existing - to be viewed directly within the RAN software means RF and transmission engineers can coordinate their activities, aware of resources and requirements when dimensioning, operating and optimizing their network.

Learn more about Planet