Paper Info
Title
Cubic spline extrapolation for uplink channel quality prediction in LTE-A with carrier aggregation.
Abstract
In the context of wireless communications, an accurate channel state information is the key to a correct radio resource management. In the uplink of long-term evolution advanced, obtaining up-to-date channel state information relies on user equipments that send sounding signals throughout the available bandwidth. This procedure is quite challenging when considering the ever increasing bandwidth demands and the introduction of carrier aggregation. Information from many radio resource blocks becomes outdated and unreliable for scheduling operations. Besides, interference values are much more variant than in the downlink due to changes in the position of interferers and their transmission power. This work proposes the introduction of a cubic spline extrapolation method to obtain a prediction horizon that allows extending the reliability of the channel quality evaluation along time. Although very high interference levels and variations thereof imply no gains, the mechanism succeeds with moderate interference, situation that can be provided by interference cancellation strategies. Copyright (C) 2015 John Wiley & Sons, Ltd.
Year
DOI
Venue
2017
10.1002/ett.2950
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
Field
DocType
Volume
Spline (mathematics),Uplink channel,Data mining,Algorithm,Extrapolation,Engineering,LTE Advanced
Journal
28.0
Issue
ISSN
Citations 
SP2.0
2161-3915
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Maria A. Lema1608.33
Mario García-lozano211625.39
Silvia Ruiz35611.06