NDLI: Estimation of link-layer quality parameters in a system-level LTE simulator

Content Provider	IEEE Xplore Digital Library
Author	Muñoz, P. de la Bandera, I. Barco, R. Ruiz, F. Toril, M. Luna-Ramírez, S.
Copyright Year	2010
Description	Author affiliation: University of Málaga, Communications Engineering Dept., Spain, Campus de Teatinos. 29071 (Muñoz, P.; de la Bandera, I.; Barco, R.; Ruiz, F.; Toril, M.; Luna-Ramírez, S.)
Abstract	The Long-Term Evolution (LTE) is the next generation of current mobile telecommunication networks. LTE has a new flat radio-network architecture and a significant increase in spectrum efficiency. In this paper a link level implementation in a system-level LTE simulator is proposed. There are two important functions at link level to increase the network capacity: Link Adaptation and Dynamic Scheduling. These functions are based on user connection quality. A physical layer abstraction is performed to predict link-layer performance with a low computational cost. In this manner, realistic OFDM (Orthogonal Frequency Division Multiplexing) channel realizations with multi-path fading propagation conditions are generated at this layer to obtain an accurately value of Signal-to-Interference Ratio (SIR) for each subcarrier. Thus, a method to aggregate SIR measurements of several OFDM subcarriers into a single scalar value is described. Finally, the previously calculated SIR is then used to estimate Block Error Rate (BLER), which is used in the Link Adaptation and Dynamic Scheduling functions.
Starting Page	1
Ending Page	5
File Size	1399797
Page Count	5
File Format	PDF
ISBN	9781424469512
e-ISBN	9781424469536
e-ISBN	9781424469529
DOI	10.1109/IB2COM.2010.5723613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Phase shift keying OFDM Computational modeling Interference Encoding
Content Type	Text
Resource Type	Article

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