FES leverages its advanced FES-IQ software suite to squeeze more capacity from limited network and capital resources and deliver dramatic improvements in network efficiency and performance. FES software is built on FES's foundation of RAN and core network engineering subject matter expertise.

FES-IQ business intelligence features include network capacity and performance forecasting, crowd-sourced RF and data consumption measurement analytics, and replay of network performance during special events. Utilizing these features together is especially useful for small cell and 5G network design where site placement is critical.

FES-IQ has the unique ability to accurately forecast network performance and capacity under future traffic and spectrum scenarios, even for individual buildings. This gives advance warning of future problems. Take action before users experience problems on your network. Identify precisely where and when to add equipment and spectrum to sustain future performance, and proactively tap extra capacity sitting unused in your network to save money and sustain performance. Create a "future proof" network design. Optimize timing for spectrum migration from older to newer technologies. Identify worst future offender sites in advance of spectrum harvesting on legacy technologies and balance traffic to maximize the customer experience across all technologies.

FES-IQ also allows the import data such as planned sites, friendly landlords, fiber runs, coverage predictions, drive and walk test data and more for improved and comprehensive decision making. FES-IQ is vendor agnostic, highly customizable, scalable to the largest deployments, and accessible on computers, tablets, and smartphones.

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San Francisco, California AT&T LTE Cell IDs

San Francisco, California AT&T LTE Cell IDs

Boston, Massachusetts Building Capacity Forecasting

Boston, Massachusetts Building Capacity Forecasting

Special Event Performance Replay

Special Event Performance Replay

Performance forecasting for site decommissioning analysis

Performance forecasting for site decommissioning analysis

FES-IQ Project Tracker

FES-IQ Project Tracker

Dublin, Ireland Vodafone LTE Signal Level (RSRP)

Dublin, Ireland Vodafone LTE Signal Level (RSRP)

Tel Aviv, Israel Cellcom LTE Data Consumption

Tel Aviv, Israel Cellcom LTE Data Consumption

Manhattan, New York Best Network per Building for LTE RS SNR

Manhattan, New York Best Network per Building for LTE RS SNR

Boston, Massachusetts Data Consumption by App and Network

Boston, Massachusetts Data Consumption by App and Network

Optimizing spectrum migration timing using FES-IQ LTE performance forecasting

Optimizing spectrum migration timing using FES-IQ LTE performance forecasting