Paper Info
Title
Interference coordination and resource allocation in dense small cell networks
Abstract
Densification of the radio access network and massive connectivity are envisaged to significantly increase the capacity of future radio access networks, well beyond 4G capabilities. This comes at the price of a harsher interference environment and an increased complexity of radio resource management (RRM), to the extent that today's RRM protocols may no longer be efficient. In this article we propose an inter-cell interference coordination mechanism that departs from the conventional concept of trading cell-centre spectral efficiency for cell-edge spectral efficiency, but rather aims at improving spectral efficiency in the entire service area. This is achieved by coordinating and optimizing access point transmission blanking on a fast time-scale while scheduling mobile stations in the direction of least interference. Simulation results indicate that the spectral efficiency can effectively be improved over the entire service area, with up to 200% increase of cell-edge users capacity and an increased average network capacity up to 30% compared to traditional reuse-1 schemes.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037390
Global Communications Conference
Keywords
Field
DocType
4G mobile communication,access protocols,intercarrier interference,radio access networks,resource allocation,4G capability,RRM protocols,access point transmission,cell-centre spectral efficiency,cell-edge spectral efficiency,dense small cell networks,harsher interference environment,inter-cell interference,interference coordination,massive connectivity,mobile stations,radio access network,radio resource management,resource allocation
Resource management,Radio resource management,Computer science,Computer network,Resource allocation,Small cell,Spectral efficiency,Interference (wave propagation),Channel allocation schemes,Radio access network,Distributed computing
Conference
ISSN
Citations 
PageRank 
2334-0983
2
0.38
References 
Authors
4
1
Name
Order
Citations
PageRank
Pablo Soldati136430.34