AI 中文总结
该研究针对MU-MIMO-OFDM系统，提出一种掩码兼容、削波感知的预编码方案，通过MMSE-BCD结合ADMM算法优化，在多约束下降低MSE，性能优于基准方案。
AI 中文摘要
正交频分复用（OFDM）因能简化均衡而被广泛应用于频率选择性信道，但也会产生大信号峰值、带外（OOB）发射和频谱泄漏。针对多用户多输入多输出（MU-MIMO）-OFDM系统的下行链路预编码/合并，我们在每个子载波的发射功率限制、每个天线的带外频谱掩码约束、每个天线的峰值幅度（削波）约束下，最小化用户的均方误差（MSE）总和，这些约束用于限制发射频谱和波形峰值，以降低功率放大器饱和、非线性失真和频谱再生。所得到的非凸问题采用基于最小均方误差（MMSE）的块坐标下降（BCD）方法处理，其中合并器采用闭式更新，预编码子问题采用带闭式更新的交替方向乘子法（ADMM）算法。仿真结果表明，与知名基准方案相比，该方法具有明显性能增益。
英文摘要
Orthogonal frequency-division multiplexing (OFDM) is widely adopted in frequency-selective channels for its ability to simplify equalization, yet it also causes large signal peaks, out-of-band (OOB) emissions, and spectral leakage. We study downlink precoding/combining for multi-user multiple-input multiple-output (MU-MIMO)--OFDM systems by minimizing the sum of the users' mean-squared errors (MSEs) under per-subcarrier transmit-power limits, per-antenna OOB spectral-mask constraints, and per-antenna peak-amplitude (clipping) constraints, which confine the emitted spectrum and limit waveform peaks to reduce power-amplifier saturation, nonlinear distortion, and spectral regrowth. The resulting nonconvex problem is handled by a minimum mean-squared error (MMSE) based block coordinate descent (BCD), with a closed-form combiner update and an alternating direction method of multipliers (ADMM) algorithm with closed-form updates for the precoder subproblem. Simulations show clear gains over well-known benchmark schemes.
CommentsThis paper is accepted for presentation at the 2026 IEEE Global Communications Conference, Symposium on Signal Processing for Communications
