By Modupe Gbadeyanka
To address throughput degradation in Africa, MTN Benin and Ericsson have deployed artificial Intelligence (AI) and Machine Learning (ML) algorithms for efficient predictions.
It was learned that a network management system utilizing AI and ML was designed to address throughput degradation, ultimately providing improved customer satisfaction. This is building on the existing Ericsson Operation Engine designed to provide data-driven network operations, including state-of-the-art AI-enabled Cognitive Software for network optimization.
The ongoing rise of connected devices has led to increased spectrum requirements putting a strain on certain sites. Ericsson devised its latest algorithms to act on highly accurate predictions of future lower throughput based on historical data.
As a result, MTN Benin can maximize the use of the available spectrum, in turn improving user experience through reliable and best-in-class network experience for MTN Benin’s subscribers.
“Throughput degradation, one of the most common issues in network management, has been successfully solved thanks to our joint efforts with Ericsson.
“The most crucial aspect we are looking for is speed to service, the increased use of connected devices and the corresponding rise in network traffic. Ericsson has offered us the best available solution with their proactive AI and ML solutions, identifying the issue before it materializes.
“By utilizing Ericsson’s solution for designing creative network solutions, we hope to provide a more individualized approach to network management, thereby boosting customer satisfaction and successfully contributing to the government’s ambition to be the leading provider of digital services in West Africa,” the chief executive of MTN Benin, Ms Uche Ofodile.
Also commenting, the Vice President and Head of Global Customer Unit MTN and Customer Unit MTN Africa at Ericsson Middle East and Africa, Mr Hossam Kandeel, said, “It is a pleasure to support accelerating MTN Benin’s automation journey, with remarkable positive effects on end-user experience, network performance and operational efficiency.
“We are able to provide highly accurate predictions of future limited throughput – anticipating throughput challenges and offering zero-touch corrective action. This collaboration is aligned with our goal of transforming network operations and optimization to a proactive data-driven approach – building on Ericsson’s AI-Based Cognitive software and Operations Engine.”
The AI and ML solution is multi-faceted in its benefits as it addresses throughput degradation most efficiently by anticipating it, offering zero-touch corrective action, increasing throughput for Service-Level Agreements (SLAs), and making the best use of network resources.
