DocumentCode :
2780985
Title :
Channel Prediction for Link Adaptation in LTE Uplink
Author :
Sahlin, Henrik
Author_Institution :
Baseband Res., Ericsson AB, Gothenburg, Sweden
fYear :
2012
fDate :
3-6 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Link adaptation is the process of selecting Modulation and Coding Scheme (MCS) and Precoder Matrix Index (PMI) based on channel quality measures. Here a Signal to Interference and Noise Ratio (SINR) estimate is used as quality measure, which is calculated from channel and noise covariance estimates. An SINR expression is derived within the current paper which is designed for a Minimum Mean Square Error (MMSE) equalizer with a single tap channel model, which is an equalizer suitable for uplink Long Term Evolution (LTE). Channel estimates from Sounding Reference Signal (SRS) are used for this link adaptation. Illustrations are given in the current paper of the performance impact of the time delay between transmissions of SRS to the time instant when the result of the link adaptation is used. Furthermore, a channel predictor is proposed in order to reduce the impact of this delay. Simulations results indicate the benefits of using the proposed channel predictor, in terms of link level throughput.
Keywords :
Long Term Evolution; channel estimation; mean square error methods; precoding; radio links; LTE uplink; MMSE equalizer; SINR; channel covariance estimation; channel prediction; channel quality measure; coding scheme; link adaptation; link level throughput; minimum mean square error equalizer; modulation scheme; noise covariance estimation; precoder matrix index; signal to interference and noise ratio estimation; single tap channel model; sounding reference signal; uplink Long Term Evolution; Channel estimation; Covariance matrix; Demodulation; Interference; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location :
Quebec City, QC
ISSN :
1090-3038
Print_ISBN :
978-1-4673-1880-8
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2012.6398940
Filename :
6398940
Link To Document :
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