METHOD AND SYSTEM FOR MULTI-BATCH REINFORCEMENT LEARNING VIA MULTI-IMITATION LEARNING

Abstract

A method in a server comprises receiving, from a plurality of base stations, user equipment, UE, state information, wherein the UE state information includes whether a plurality of UEs in cells served by the plurality of base stations are in an idle mode or an active mode; predicting a traffic load of a target base station among the plurality of base stations, based on the UE state information; determining cell reselection priorities for a plurality of cells served by the target base station, based on the predicted traffic load; transmitting, to the target base station, the cell reselection priorities; and reselecting a cell for an idle mode UE camped in one of the plurality of cells, based on the cell reselection priorities.

IPC Classifications