Proactive resource allocation optimization in LTE with inter-cell interference coordination
This paper presents a distributed, dynamic self-organizing network (SON) solution for downlink resources in an LTE network, triggered by support vector regression instances predicting various traffic loads on the nodes in the network. The proposed SON algorithm pro-actively allocates resources to nodes which are expected to experience traffic spikes before the higher traffic load occurs, as opposed to overloaded nodes reacting to a resource-exhaustion condition. In addition, the solution ensures inter-cell interference coordination is maintained across the LTE cells/sectors.
lte son support vector regression machine learning ricartagrawala icic