Telefonaktiebolaget Lm Ericsson (Publ)

Rebeca Beatriz Perez Lainez

Roberto David Carnero Ros

There is provided a Congestion Prediction Engine 'CPE' of a Policy and Charging Control 'PCX'' architecture. The PCC architecture also has a congestion database, a Policy and Charging Enforcement Function &#x201c;PCEF&#x201d; device and a Policy and Charging Roles Function &#x201c;PCRF&#x201d; node. The CPE includes a processing unit of the CPE which defines a currently applicable congestion prediction. The CPE includes a network; interface unit of the CPE which defines from the congestion database actual congestion data for a latest time period. The processing unit of the CPE determines a subsequent congestion prediction for a subsequent time period by comparing the currently applicable congestion prediction with the actual congestion data and by applying machine learning techniques. The CPE includes a memory of the CPE in which the currently applicable congestion prediction is replaced with the subsequent congestion prediction. The network interface unit of the CPE sends to a network entity the currently applicable congestion prediction so the PCRF can make a policy decision with quality of service &#x201c;QoS&#x201d; based on the currently applicable congestion prediction, upon establishment or modification of an IP Connectivity Access Network &#x201c;IP-CAN&#x201d; session for a user. A Policy and Charging Rules Function &#x201c;PCRF&#x201d; node of a Policy and Charging Control &#x201c;PCC&#x201d; architecture for making policy decisions based on network congestion. There is provided a method of a Congestion Prediction Engine &#x201c;CPE&#x201d; of a Policy and Charging Control &#x201c;PCC&#x201d; architecture and a method of making policy decisions at a Policy and Charging Control &#x201c;PCC&#x201d; architecture based on network congestion.

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Madrid, Spain

Rebeca Beatriz Perez Lainez