DocumentCode :
3000421
Title :
Prediction of channel information in multi-user OFDM systems
Author :
Jeon, Jae-Hoon ; Lee, Yong-Hwan
Author_Institution :
Seoul Nat. Univ., Seoul
Volume :
2
fYear :
2006
fDate :
6-9 Aug. 2006
Firstpage :
468
Lastpage :
472
Abstract :
Channel information is indispensable to employ advanced channel aware technologies such as packet scheduling and adaptive modulation and coding (AMC). In this paper, we first investigate the delay effect of instantaneous signal to interference and noise power ratio (SINR) on the spectral efficiency of multi-user orthogonal frequency division multiplexing (OFDM) systems that employ packet-based channel aware technologies. To alleviate the performance degradation due to delayed channel information, we consider the use of predicted channel gain for link adaptation with packet scheduling. It is shown that the use of predicted channel gain can significantly enhance the spectral efficiency particularly in high mobility environments. For practical realization of an optimum predictor, we propose a grouped minimum mean square error (MMSE) prediction scheme, which can substantially reduce the implementation complexity without noticeable performance degradation. Finally, the proposed scheme is verified by computer simulation.
Keywords :
OFDM modulation; least mean squares methods; multi-access systems; packet switching; adaptive modulation and coding; channel state information; link adaptation; minimum mean square error prediction; multiuser orthogonal frequency division multiplexing; packet scheduling; performance degradation; predicted channel gain; spectral efficiency; Computer simulation; Degradation; Delay effects; Interference; Mean square error methods; Modulation coding; OFDM modulation; Performance gain; Scheduling algorithm; Signal to noise ratio; MMSE prediction; OFDM; channel state information; packet scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
ISSN :
1548-3746
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2006.382314
Filename :
4267392
Link To Document :
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