Cubic spline extrapolation for uplink channel quality prediction in LTE‐A with carrier aggregation. Issue 2 (25th May 2015)

• Record Type: Journal Article
• Authors: Lema, Maria A.; García‐Lozano, Mario; Ruiz, Silvia
• Other Names: Xiang Wei guestEditor.; Zheng Kan guestEditor.; Niyato Dusit guestEditor.; Militano Leonardo guestEditor.; Araniti Giuseppe guestEditor.
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 28:Issue 2(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2015-05-25
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.2950
• Languages: English
• ISSNs: 2161-5748

Abstract

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 Information from many radio resource blocks becomes outdated and unreliable for scheduling operations.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 © 2015 John Wiley & Sons, Ltd. Abstract : To assure the correct functioning of other radio resource management procedures, channel state information must be reliable. In the uplink, this is a difficult task. This paper proposes the use of cubic splines and interference cancellation techniques to improve the channel quality information of the user at the evolved node B.