频谱高效的MIMO-OFDM：基于随机复用的低复杂度解决方案
Spectral-Efficient MIMO-OFDM: Low-Complexity Solution based on Random Multiplexing
AI总结：
该研究提出基于随机复用预编码与OAMP估计器的低复杂度MIMO-OFDM系统，兼容5G，经理论分析与数值验证，可提升频谱效率，是6G及后续无线网络的有前景方案。
AI中文摘要：
本文提出一种低复杂度预编码MIMO-OFDM系统，通过在子载波间有意压缩信息符号以提升频谱效率（SE）。该方案利用强大的随机复用机制进行预编码，采用线性复杂度的正交近似消息传递（OAMP）估计器进行符号检测，完全兼容现有第五代（5G）架构。我们还基于复制对称（RS）公式提供理论分析，证实了该系统在采用的压缩率方面的优势，验证了有趣的相变行为。数值结果与分析一致，相较于传统MIMO-OFDM方案，在可达速率和误码率（BER）方面实现显著提升，使该方案成为6G及后续无线网络的有前景解决方案。
英文摘要：
This paper presents a low-complexity precoded MIMO-OFDM system for achieving improved spectral efficiency (SE) via intentionally compressing information symbols among subcarriers. Particularly, the proposed scheme leverages the powerful random multiplexing mechanism for precoding, and adopts the linear-complexity orthogonal approximate message passing (OAMP) estimator for symbol detection, where the compatibility with the existing fifth generation (5G) architectures is fully preserved. We further provide the theoretical analysis based on the replica-symmetric (RS) formula. This analysis confirms the advantages of the proposed system with respect to the adopted compression ratios, where an interesting phase transition behavior is verified. Numerical results coincide with our analysis and demonstrate significant improvements in terms of achievable rates and bit error rate (BER) compared to conventional MIMO-OFDM counterpart, making the proposed scheme a promising solution to 6G and beyond wireless networks.
