Extreme non-uniformity of mobile networks, together with ever increasing complexity, means that manually optimizing the network to provide the best coverage and capacity whenever subscribers need it is no longer an option. Traditional approaches have typically focused on the cell with use cases analyzed in isolation making them hard to relate to the subscribers’ experience.

VIAVI has a unique approach that brings the power of subscriber-centric, geo-located intelligence to automated network performance optimization. Together with predictive decision making, GEOoptimize can analyze KPIs in parallel enabling the user to finely adjust the sensitivity of one service (e.g. VoLTE) against another service (e.g. 4G Data).

As well as improving coverage and capacity, GEOoptimize can be employed to reduce energy consumption at cell sites. With over 70% of a network’s energy consumed in the RAN, this can not only reduce carbon footprint but can also deliver significant cost savings.

ariesoGEO locates, stores, and analyzes data from mobile connection events, creating a store of location intelligence. GEOperformance transforms the intelligence delivering subscriber-centric performance engineering, identifying network areas of concern. GEOoptimize harnesses this intelligence to deliver automated network performance engineering.

GEOoptimize can co-exist with traditional SON methods, complementing their capability.