@article{10902/10960,
year = {2016},
month = {9},
url = {http://hdl.handle.net/10902/10960},
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).},
organization = {This work has been supported by the Spanish Government (Ministerio de Economía y Competitividad, Fondo Europeo de Desarrollo Regional, FEDER) by means of the projects COSAIF, Connectivity as a Service: Access for the Internet of the Future (TEC2012-38754-C02-01), and ADVICE, Dynamic provisioning of connectivity in high density 5G wireless scenarios (TEC2015-71329-C2-1-R)},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
publisher = {IEEE Communications Letters, 2016, 20(9), 1876-1879},
title = {A geometric programming solution for the mutual-interference model in HetNets},
author = {Díez Fernández, Luis Francisco and Popescu, George-Pantelimon and Agüero Calvo, Ramón},
}