Title
Cluster-Based Joint Cell Association and Interference Coordination Control in Heterogeneous Networks
Abstract
In this paper, a joint control method for the user association and almost blank sub-frame (ABSF) based interference coordination (IC) technique in heterogeneous cellular networks is proposed. The optimization objective is simultaneously improving system throughput and guaranteeing proportionally fairness. Usually, user and base station (UE-BS) association is performed before ABSF rate determination, which is suboptimal with respect to UE- BS association. We formulate the joint optimization of UE-BS association and ABSF rate as a combinatorial optimization problem. To deal with it, we proposed an iterative method to discover the ABSF rate, the optimal association and the optimal resource blocks(RBs) allocation that can maximum long-term average throughput. Besides, as we cannot know the interference before user-association and resource allocation, we proposed a graph-based BS clustering method to estimate the interference before user-association and resource allocation. Simulation results show the efficiency of our proposed scheme.
Year
DOI
Venue
2016
10.1109/VTCFall.2016.7880933
2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)
Keywords
Field
DocType
cluster-based joint cell association,interference coordination control,user association,almost blank subframe,ABSF,IC technique,heterogeneous cellular network,optimization objective,UE-BS association,user and base station association,combinatorial optimization problem,iterative method,resource block,RB,maximum long-term average throughput,resource allocation,graph-based BS clustering method
Resource management,Base station,Iterative method,Computer science,Computer network,Resource allocation,Cellular network,Throughput,Heterogeneous network,Cluster analysis
Conference
ISSN
ISBN
Citations 
2577-2465
978-1-5090-1702-7
0
PageRank 
References 
Authors
0.34
9
5
Name
Order
Citations
PageRank
Liang Chen161.81
Lin Ma274.24
Yubin Xu310525.36
Victor C. M. Leung49717759.02
Xiaolu Wang574.22