Transmit power optimization in mobile networks with nomadic base stations

The problem of optimal transmit power management in cellular networks to limit the inter-cell interferences in LTE-A and 5G networks is of growing importance, as the complexity of the network raises with the increasing number of connected devices and number of cells within the network. One of the proposed solutions to mitigate network overloading is to use nomadic cells. When nomadic cells are deployed to serve a temporal increase of traffic volume in specific area, the transmission power of neighbor base stations needs to be adapted to limit the inter-cell interferences. We analyze the problem of neighborhood selection for the optimization, to define what part of the networks needs to be reconfigured when new base station is added. We propose a novel, sampling based local TX power reconfiguration method. We evaluate the method, showing that it allows to select very few neighboring cells which need to be reconfigured (in majority of cases less than 10) and achieve similar efficacy as using global optimization, with total offered throughput different by less than 1% comparing to the global reconfiguration.