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Statistical Transceiver Designs with ICI Reduction for MIMO-OFDM Systems

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Abstract

In this paper, transceiver designs that take into account inter-carrier interferences (ICI) in the framework of game theory for multiple-input multiple-output orthogonal frequency division multiplexing systems are presented. With statistical channel state information at the transmitter, two transceivers: minimal mean-squared-error equalizer and minimal mean-squared-error decision-feedback equalizer are designed. The transceiver designs with the objective of minimizing the expectation of detection mean squared error become a complicated strategic non-cooperative game problem. In the paper, heuristic algorithms based on the best reply dynamic in game theory are proposed, whose convergence to Nash equilibrium can be numerically verified. Compared with traditional transceivers which ignore ICI effect by assuming perfect orthogonality between subcarriers, our designs require a moderate increase in design complexity. Nevertheless, the proposed transceivers have the same implementation complexity as the traditional counterparts. Numerical results verify that the proposed transceivers are more robust to ICI effect from the perspective of bit error rate than the traditional ones.

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Authors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong

    Fengyong Qian & Shuhung Leung

  2. The Communication and Information Security Lab, Shenzhen Graduate School of Peking University, Shenzhen, China

    Fengyong Qian, Ruikai Mai & Yuesheng Zhu

Authors
  1. Fengyong Qian
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  2. Shuhung Leung
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  3. Ruikai Mai
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  4. Yuesheng Zhu
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Correspondence to Yuesheng Zhu.

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Qian, F., Leung, S., Mai, R. et al. Statistical Transceiver Designs with ICI Reduction for MIMO-OFDM Systems. Wireless Pers Commun 71, 821–837 (2013). https://doi.org/10.1007/s11277-012-0846-5

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  • DOI: https://doi.org/10.1007/s11277-012-0846-5

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