Title
Two-level scheme to maximise the number of guaranteed users in downlink femtocell networks
Abstract
In this study, the authors study the downlink resource allocation optimisation in femtocell networks, to maximise the number of guaranteed users whose data rate requirements are fully met. The spectral access of femtocell networks is based on orthogonal frequency division multiple access. In their work, two challenges are solved. The first is the intractable inter-cell interference coordination brought about by the transmission delay in backhaul connections, and the second is the incorporation of physical interference model into problem formulations. To solve these problems, the authors propose a novel two-level resource allocation scheme, implemented in both radio resource management controller and femtocell base stations, based on the maximisation of the number of guaranteed users. Notably, their proposed scheme is efficient and requires low overhead. Simulation results show that the proposed scheme offers significant performance improvement in both the percentage of guaranteed users and spectrum spatial reuse over existing methods proposed in the literature.
Year
DOI
Venue
2014
10.1049/iet-com.2013.0944
IET Communications
Keywords
Field
DocType
intractable intercell interference,spectral access,optimisation,physical interference model,radio links,radiofrequency interference,orthogonal frequency division multiple access,spectrum spatial reuse,transmission delay,ofdm modulation,radio resource management controller,downlink resource allocation optimisation,resource allocation scheme,guaranteed users,femtocellular radio,backhaul connections,downlink femtocell networks,femtocell base stations
Radio resource management,Femtocell,Backhaul (telecommunications),Transmission delay,Computer network,Orthogonal frequency-division multiple access,Resource allocation,Mathematics,Telecommunications link,Performance improvement
Journal
Volume
Issue
ISSN
8
16
1751-8628
Citations 
PageRank 
References 
1
0.35
6
Authors
5
Name
Order
Citations
PageRank
Kan Wang110.35
Hongyan Li2173.00
Jianpeng Ma310.35
Liu Peng4716.17
Hao Pan5111.31