Paper Info
Title
A graph-based resource allocation scheme with interference coordination in small cell networks
Abstract
We present a novel graph-based resource allocation and interference coordination framework to mitigate downlink interference in small cell networks. In our scheme, two types of clusters from the original network are generated, namely cell-cluster and user-cluster. We first divide small cells into cell-clusters according to their neighboring relationships in the network and examine the network morphology under different neighborhood bounds. Then we develop another graph clustering scheme to group the users in each cell-cluster into user-clusters with minimum intra-cluster interference. Finally, we employ a proportional fair scheduling scheme to assign subchannels among the user-clusters and allocate power using water-filling method. The simulation results show that our method achieves a significant improvement in spectral efficiency compared to previous works under both co-channel and orthogonal deployments.
Year
DOI
Venue
2014
10.1109/GLOCOMW.2014.7063600
GLOBECOM Workshops
Keywords
Field
DocType
graph-based resource allocation scheme,radiofrequency interference,user-cluster,cellular radio,cell-cluster,interference coordination,resource allocation,downlink interference,small cell networks,water-filling method,graph theory,network morphology
Radio resource management,Computer science,Scheduling (computing),Computer network,Resource allocation,Small cell,Spectral efficiency,Interference (wave propagation),Clustering coefficient,Proportionally fair,Distributed computing
Conference
ISSN
Citations 
PageRank 
2166-0069
3
0.44
References 
Authors
17
6
Name
Order
Citations
PageRank
Li Zhou114311.80
Rukhsana Ruby216322.82
Haitao Zhao3112.10
Xiaoting Ji430.44
Jibo Wei541944.40
Victor C. M. Leung69717759.02