Research Article
QoS Graph Coloring Spectrum Allocation for Femtocell in Macro/Femto Heterogeneous Network
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694624, author={Zhou Xu and Yu He and Xiao Xu and Fei Peng}, title={QoS Graph Coloring Spectrum Allocation for Femtocell in Macro/Femto Heterogeneous Network}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={interference mitigation cognitive radio spectrum allocation graph coloring qos heterogeneous network}, doi={10.1109/ChinaCom.2013.6694624} }- Zhou Xu
Yu He
Xiao Xu
Fei Peng
Year: 2013
QoS Graph Coloring Spectrum Allocation for Femtocell in Macro/Femto Heterogeneous Network
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694624
Abstract
To deploy femtocells overlaying the macrocell as a two-tier network is one of the most promising architectures. It improves indoor signal coverage and system capacity. However, the deployment of femtocells also brings severe intra-tier and cross-tier co-channel interferences which will degrade the performance of heterogeneous network (HetNet). Cognitive Radio (CR) technology provides a feasible solution, via sharing the spectrum by way of learning and reconfiguring. By incorporating CR technology into femtocells, we proposed a spectrum allocation scheme based on the QoS Graph Coloring (QGC) algorithm. The aim is to mitigate the interferences and maximize the spectrum efficiency. Furthermore, we took different QoS targets into consideration and achieved a tradeoff between fairness and spectrum efficiency. The simulation results demonstrated that the proposed scheme outperformed the conventional scheme and parallel scheme by providing better spectrum efficiency and average throughput.