1 research outputs found
Transmit power optimization in cellular networks with nomadic base stations
The increasing demand for cellular network capacity can be mitigated through
the installation of nomadic eNodeB, which serve a temporal increase of traffic
volume in specific area. When nomadic cells are deployed, the transmission
power of neighbor base stations needs to be optimized 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 evaluate the iterative approach, with increasing
range of neighboring cells being reconfigured and propose a novel, sampling
based local TX power reconfiguration method, which is evaluated by a numerical
model in both regular (honeycomb) topology and in realistic topology reflecting
locations of cells in a city. The analysis confirms that the proposed algorithm
allows to select very few neighboring cells which need to be reconfigured (in
majority of the cases less than 10 cells) and achieve similar efficacy as
global optimization, with total network throughput different by less than 1\%
comparing to the global optimization