Predictive transmit beamforming for MIMO-OFDM in time-varying channels with limited feedback

  • Authors:

  • Jae Yeun Yun;Sae-Young Chung;Jihoon Choi;Yong-Up Jang;Yong H. Lee

  • Affiliations:

  • Mobile Device & Access Network R&D Center: SK telecom, Sungnam, South Korea;Korea Advanced Institute of Science and Technology, Daejon, South Korea;Samsung Electronics: Co. LTD., Suwon, South Korea;Korea Advanced Institute of Science and Technology, Daejon, South Korea;Korea Advanced Institute of Science and Technology, Daejon, South Korea

  • Venue:
  • IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
  • Year:
  • 2007

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Abstract

A limited feedback-based transmit beamforming technique for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is investigated in time-varying channels. The performance of the system is significantly degraded by outdated feedback information even when the channel varies slowly. To compensate for the impairment in time-varying channels, the optimal transmit beamforming vector for a future channel, which maximizes the expected effective channel gain, is derived by applying the autoregressive (AR) model to the channels. These are obtained at the receiver. Following this, schemes for the selection of beamforming vectors are proposed to reduce the feedback amount. These can effectively reduce the amount of feedback information by utilizing both the frequency and time correlation of transmit beamforming vectors. Simulation results show that the proposed techniques outperform existing schemes in terms of the bit error rate (BER) performance with the same amount of feedback.