Link adaptation of MIMO-OFDM systems using hidden Markov model for high speed railway

Author

Lin, Kun-Yi ; Lin, Hsin-Piao ; Tseng, Ming-Chien

Author_Institution

Inst. of Comput. & Commun. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan

fYear

2010

fDate

Oct. 31 2010-Nov. 3 2010

Firstpage

324

Lastpage

328

Abstract

A link adaptation scheme for MIMO-OFDM systems over high speed rail environment is addressed in this paper. In this study, a selection method of MIMO transmission mode and the modulation and coding scheme (MCS) according to the Rician channel K-factor from our previous work is considered. A hidden Markov model of time-varying Rician channel K-factor is constructed by using the real measured channel data on the high speed rail train. With the constructed hidden Markov model, the time correlation of Rician channel K-factor can be obtained and the time-varying K-factor value can be generated. By using the hidden Markov model, the K-factor value can be predicted to facilitate link adaptation since the K-factor may vary during feedback, especially in high mobility scenario. Simulation results show an average throughput improvement of 5Mbps.

Keywords

MIMO communication; OFDM modulation; hidden Markov models; railways; telecommunication channels; MIMO transmission mode; MIMO-OFDM systems; coding scheme; hidden Markov model; high speed railway; link adaptation; modulation scheme; time-varying Rician channel K-factor; Adaptation model; Hidden Markov models; Modulation; Rails; Rician channels; Throughput; K-factor; Link adaptation; Rician channel; hidden Markov model; high speed railway; modulation and coding scheme;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (APCC), 2010 16th Asia-Pacific Conference on

Conference_Location

Auckland

Print_ISBN

978-1-4244-8128-6

Electronic_ISBN

978-1-4244-8127-9

Type

conf

DOI

10.1109/APCC.2010.5679714

Filename

5679714