Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

A Novel Spectrum Allocation Scheme in Femtocell Networks Using Improved Graph Theory

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_18,
        author={Feng Li and Lili Yang and Jiangxin Zhang and Li Wang},
        title={A Novel Spectrum Allocation Scheme in Femtocell Networks Using Improved Graph Theory},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Femtocell Spectrum allocation Graph theory},
        doi={10.1007/978-3-030-00557-3_18}
    }
    
  • Feng Li
    Lili Yang
    Jiangxin Zhang
    Li Wang
    Year: 2018
    A Novel Spectrum Allocation Scheme in Femtocell Networks Using Improved Graph Theory
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_18
Feng Li1, Lili Yang1,*, Jiangxin Zhang1, Li Wang1
  • 1: Zhejiang University of Technology
*Contact email: yll@zjut.edu.cn

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. 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.