We have developed an independent view of the potential use cases for Intel’s Link Quality Prediction (LQP) technology.

Intel’s Link Quality Prediction (LQP) technology uses machine learning techniques and a rich set of historical and real-time data feeds to dynamically predict the quality of any given Radio Access Network (RAN) link and optimise application level behaviour. 

One of the first uses of the technology has been with SK Telecom, who are collaborating with Intel to train LQP to conduct automated network management. The LQP prediction engine can also be used for other network planning and management tasks to further improve network performance and reduce operating costs.

This report outlines our analysis and unveils one of the first cases studies, detailing how SK Telecom is collaborating with Intel to train LQP to conduct automated network management.

By combining our deep technical expertise, broad telecoms experience and commercial insight, we provide a unique evaluation of LQP and its potential role in the emerging 5G ecosystem.

Download the report

Media downloads

link-quality-prediction.pdf
Author
Michal Gabrielczyk