Research Article
A novel spectrum allocation scheme in femtocell networks using improved graph theory
@ARTICLE{10.4108/eai.13-12-2017.154701, author={Feng Li and Lili Yang}, title={A novel spectrum allocation scheme in femtocell networks using improved graph theory}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={3}, number={12}, publisher={EAI}, journal_a={COGCOM}, year={2017}, month={12}, keywords={Femtocell, spectrum allocation, graph theory}, doi={10.4108/eai.13-12-2017.154701} }- Feng Li
Lili Yang
Year: 2017
A novel spectrum allocation scheme in femtocell networks using improved graph theory
COGCOM
EAI
DOI: 10.4108/eai.13-12-2017.154701
Abstract
In this paper, we propose a novel spectrum allocation scheme by using graph coloring and taking QoS thresholds into account. The goal of our proposed method is to reduce interference among femtocells deployed densely and improve spectral efficiency after reaching user’s QoS threshold. We design an interference-based graph model by detecting terminals’ transmit power between femtocell stations and classifying the interference levels according to the coloring algorithm. Spectrum resource is allocated based on the QoS requirement of each user in a centralized way. Unlike other spectrum allocation method using graph theory, we take many significant factors into account in this paper in order to attain a more practical spectrum optimization solution. The simulation results show that when the scheme is deployed in femtocells with high density, it can effectively reduce the interference within same layer and improve system capacity along with spectrum efficiency.
Copyright © 2017 Feng Li and Lili Yang, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
