Multiobjective optimization for pre-DFT combining in coded SIMO-OFDM systems

  • Authors:
  • Yinman Lee;Yun-Jung Hsieh;Hong-Wei Shieh

  • Affiliations:
  • Graduate Institute of Communication Engineering, National Chi Nan University, Taiwan, R.O.C.;Graduate Institute of Communication Engineering, National Chi Nan University, Taiwan, R.O.C.;Graduate Institute of Communication Engineering, National Chi Nan University, Taiwan, R.O.C.

  • Venue:
  • IEEE Communications Letters
  • Year:
  • 2010

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Abstract

For coded SIMO-OFDM systems, pre-DFT combining was previously shown to provide a good trade-off between error-rate performance and processing complexity. Max-sum SNR and max-min SNR are two reasonable ways for obtaining these combining weights. In this letter, we employ multiobjective optimization to further reveal the suitability and limitation of these two criteria. Our results show that: 1) Neither maxsum SNR nor max-min SNR is universally good; 2) For better error-rate performance, the means for weight calculation should be adapted according to the capability of the error-correcting code used, and multiobjective optimization can help in the determination.