A novel spectrum allocation scheme in femtocell networks using improved graph theory

Li, Feng and Yang, Lili (2017) A novel spectrum allocation scheme in femtocell networks using improved graph theory. EAI Endorsed Transactions on Cognitive Communications, 3 (12): e3. ISSN 2313-4534

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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.

Item Type: Article
Uncontrolled Keywords: Femtocell, spectrum allocation, graph theory
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 10 Sep 2020 14:15
Last Modified: 10 Sep 2020 14:15
URI: https://eprints.eudl.eu/id/eprint/211

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