We are the first company to use
AI-driven algorithms to increase network performance
Interference
The challenge in modern communication networks, like 5G/4G, is managing interference.
Aglocell utilizes AI-based algorithms to detect interference and improve network performance of infill areas between cell sites. These algorithms significantly enhance signal-to-interference plus noise ratio (SINR) in low band frequencies. This improvement leads to higher floor speed throughput.
Infill Maximizer
Algocell's patent pending Infill Maximizer increases SINR to improve cell edge signal quality and speeds.
The Infill Optimizer detects low signal quality areas between 5G/4G sites and makes adjustments to increase SINR. These improvements lead to higher floor speed throughput and reduces low-band exhaustion issues. Excessive interference is a primary factor in reducing overall system efficiency.
Layer Maximizer
Aglocell's patented Layer Maximizer adjusts reselection parameters with massive what if calculations.
Aglocell Layer Maximizer algorithms unlock underutilized mobile capacity by optimizing traffic distribution and inter-frequency handovers. Aglocell creates significant capacity and throughput improvements as well as opportunities for expansion capex savings.
Unlocking Wireless Efficiency
Mobile Network Performance Solutions
Aglocell AI-based algorithms get down to the granular details that cause throughput and network capacity issues and provide changes to maximize network capacity and low end speeds.
Request A Live Demo
Simply request a live demo and we’ll set up a time to demonstrate the solution using data on the Aglocell
Simply request a live demo and we’ll set up a time to demonstrate the solution using anonymized data on the Aglocell Cloud. We’ll review the use cases, solution architecture and actual field trialed results. In addition, we’ll demonstrate how data is simply shared between your data and our software automatically if your data is already in the cloud. For data that’s not in the cloud including for example one-time reference data we’ll demonstrate how easily its uploaded.