VIAVI GEOoptimize Automated Network Performance Optimization Solution
Automated mobile network performance optimization driven by geo-located, subscriber-centric intelligence, delivered as a service or as a solution.
Overview
GEOoptimize is a modular automated network performance optimization solution from VIAVI, deployed either as a service or as a solution. It addresses the non-uniformity and growing complexity of mobile networks, where manual optimization of coverage and capacity is no longer practical. Traditional approaches focus on the cell and analyze use cases in isolation, which makes them hard to relate to the subscriber experience.
GEOoptimize applies subscriber-centric, geo-located intelligence to automated optimization. Combined with predictive decision making, it analyzes KPIs in parallel, allowing the user to adjust the sensitivity of one service (for example VoLTE) against another (for example 4G Data).
In addition to improving coverage and capacity, GEOoptimize can be used to reduce energy consumption at cell sites. According to VIAVI, over 70% of a network's energy is consumed in the RAN, so reductions there can lower both carbon footprint and operating cost.
Position in the VIAVI geolocation portfolio
ariesoGEO locates, stores and analyzes data from mobile connection events to create a store of location intelligence. GEOperformance uses that intelligence for subscriber-centric performance engineering, identifying network areas of concern. GEOoptimize uses the same intelligence to perform automated network performance engineering. It can co-exist with traditional SON methods and complement their capability.
Key Features
- Modular approach, deployable as a service or as a solution
- Automated network performance optimization using geo-located, subscriber-centric intelligence
- Predictive decision making
- Parallel KPI analysis with adjustable sensitivity between services such as VoLTE and 4G Data
- Coverage and capacity improvement
- Energy consumption reduction at cell sites
- Co-exists with and complements traditional SON methods
Applications
- Mobile network coverage optimization
- Mobile network capacity optimization
- RAN energy saving
- Subscriber-centric performance engineering
- Mobile network analytics