DocumentCode :
2337729
Title :
WLC27-1: A Novel Two-step Channel Prediction Technique for Supporting Adaptive Transmission in OFDM/FDD System
Author :
Ko, SangJun ; Heo, Joo ; Chang, KyungHi
Author_Institution :
Grad. Sch. of Inf. Technol. & Telecommun., Inha Univ., Incheon
fYear :
2006
fDate :
Nov. 27 2006-Dec. 1 2006
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces a novel channel prediction technique for OFDM/FDD system to support adaptive modulation and coding (AMC) scheme over rapidly time-varying multipath fading channel. Most channel prediction techniques assume that there is no channel variation in the predefined time duration, e.g., a slot. As a result, those techniques can not compensate the degradation of packet error rate (PER) performance resulting from the rapid variation of channel over the slot duration. In this paper, we propose a novel channel prediction technique that considers the time-varying nature of channel over the duration of interest. Simulation results show that the AMC scheme of OFDM/FDD system utilizing the proposed channel prediction technique can guarantee the target PER of 1% without any loss of system throughput compared with the case supported by the conventional channel prediction under ITU-R Veh A 30 km/h.
Keywords :
OFDM modulation; adaptive codes; adaptive modulation; channel coding; fading channels; frequency division multiplexing; modulation coding; multipath channels; time-varying channels; AMC; OFDM-FDD system; adaptive modulation-coding; adaptive transmission; time-varying multipath fading channel; two-step channel prediction technique; Adaptive systems; Degradation; Fading; Feedback; Information technology; Modulation coding; OFDM modulation; Predictive models; Radio transmitters; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
ISSN :
1930-529X
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2006.769
Filename :
4151399
Link To Document :
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