A geometric programming solution for the mutual-interference model in HetNets

Abstract: It is well known that the use of heterogeneous networks and densification strategies will be crucial to handle the wireless cellular traffic increase that is foreseen in the forthcoming years. Hence, the scientific community is putting effort into the proposal and assessment of radio resource management solutions for this type of deployments. For that, an accurate modeling of the underlying resources is mandatory. In this letter, we propose a mutual-interference model, which enables a precise estimation of the signal-to-interference and noise ratio (SINR), compared with the widespread constant-load alternative. This is of utter relevance, since the SINR has a direct influence on the spectral efficiency and, consequently, on the resources to be allocated. We also propose a transformation of the corresponding resource assignment problem, so that it can be solved using geometric programming techniques. The validity of this transformation is assessed by comparing the corresponding solution with the one that would have been obtained exploiting a heuristic approach (simulated annealing).

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Diez L., Popescu G., Agüero R.,

 Fuente: IEEE Communications Letters, 2016, 20(9), 1876-1879

Editorial: Institute of Electrical and Electronics Engineers Inc.

 Fecha de publicación: 01/09/2016

Nº de páginas: 4

Tipo de publicación: Artículo de Revista

DOI: 10.1109/LCOMM.2016.2592914

ISSN: 1089-7798,1558-2558

Proyecto español: TEC2012-38754-C02-01 ; TEC2015-71329-C2-1-R

Url de la publicación: https://doi.org/10.1109/LCOMM.2016.2592914