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<p>Although&#xa0;movable antenna (MA) systems offer significant performance gains via spatial reconfiguration, they suffer from severe degradation under practical imperfect channel state information (CSI). To address this, this paper proposes a robust joint design of antenna position optimization and precoding. We model stochastic errors in angular parameters and path gains and develop a Robust Monte Carlo Orthogonal Matching Pursuit (RMC-OMP) algorithm. The algorithm effectively suppresses pseudo-correlation peak interference caused by CSI errors through statistically averaging matching scores across multiple channel error realizations, while strictly ensuring the half-wavelength spacing constraint. Simulation results demonstrate that the RMC-OMP retains <InlineEquation ID="IEq1"><EquationSource Format="TEX">\(85.6\%\)</EquationSource><EquationSource Format="MATHML"><math><mrow><mn>85.6</mn><mo>%</mo></mrow></math></EquationSource></InlineEquation> of the sum rate achievable with perfect CSI. This validates the proposed algorithm’s strong robustness for 6G MA systems.</p>

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Robust beamforming and position optimization for movable antenna enabled 6G wireless communications

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月1日

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  • Yu Chen,
  • Yongliang Sun

摘要

Although movable antenna (MA) systems offer significant performance gains via spatial reconfiguration, they suffer from severe degradation under practical imperfect channel state information (CSI). To address this, this paper proposes a robust joint design of antenna position optimization and precoding. We model stochastic errors in angular parameters and path gains and develop a Robust Monte Carlo Orthogonal Matching Pursuit (RMC-OMP) algorithm. The algorithm effectively suppresses pseudo-correlation peak interference caused by CSI errors through statistically averaging matching scores across multiple channel error realizations, while strictly ensuring the half-wavelength spacing constraint. Simulation results demonstrate that the RMC-OMP retains \(85.6\%\)85.6% of the sum rate achievable with perfect CSI. This validates the proposed algorithm’s strong robustness for 6G MA systems.