基于电磁信息论的多用户超大规模MIMO的互信息研究

Research on Mutual Information for Multi-user Extremely Large-scaleMIMO Systems Based on Electromagnetic Information Theory

利用随机场对多个连续孔径超大规模多输入多输出(Extremely Large-scale MIMO,XL-MIMO)之间的近场通信进行建模,推导了多用户干扰和不同噪声情况下多用户XL-MIMO系统的互信息表达式。相比传统离散分析方法有更高的准确度,并且分析了离散点数、噪声功率等关键因素对XL-MIMO系统互信息的影响。此外,基于模型探究了信号波长、噪声功率和端到端距离与互信息收敛时最大离散点数之间的关系,并与单用户情况进行了相关对比,为XL-MIMO系统信号处理算法的设计与模型调谐提供了一定参考。

This paper models near-field communication between multiple consecutive aperture Extremely Large-scale Multiple-Input Multiple-Output(XL-MIMO)antennas using random fields.Mutual information expression for XL-MIMO system with multiple-user interference and different noise conditions is derived,which offers higher accuracy than traditional discrete analysis methods.Eeffects of key factors such as number of discrete points and noise power on mutual information of XL-MIMO systems are also analyzed.Additionally,relationship between signal wavelength,noise power,end-to-end distance and the maximum number of discrete points for achieving convergence in mutual information is explored based on the model,and compared with the single-user scenario,providing valuable insights for the design of signal processing algorithms and tuning of models in XL-MIMO systems.