A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks
Abstract
When deploying a new mobile technology such as LTE, it is crucial to identify the factors that affect the
radio network in terms of capacity and quality of service. In this context, network coverage is arguably
the single most influential factor. This work presents a metaheuristic-optimization approach that automatically
adapts the parameters of a signal-propagation model. The optimization procedure is performed per
cell, enabling the calculation of accurate network-coverage predictions. The evaluation of the proposed
approach is carried out on two different regions in Slovenia, where Telekom Slovenije, d.d., provides LTE
coverage. The results show radio-propagation predictions of improved quality when compared to manual
and analytical methods.
radio network in terms of capacity and quality of service. In this context, network coverage is arguably
the single most influential factor. This work presents a metaheuristic-optimization approach that automatically
adapts the parameters of a signal-propagation model. The optimization procedure is performed per
cell, enabling the calculation of accurate network-coverage predictions. The evaluation of the proposed
approach is carried out on two different regions in Slovenia, where Telekom Slovenije, d.d., provides LTE
coverage. The results show radio-propagation predictions of improved quality when compared to manual
and analytical methods.
Full Text:
PDF
This work is licensed under a Creative Commons Attribution 3.0 License.