AI 中文总结
针对大规模阵列系统中用户端电磁暴露问题，建立多用户上行链路HMIMO模型及SAR模型，通过改进的迭代注水算法解决频谱效率最大化问题，仿真表明该算法能在满足SAR约束时有效提升系统SE。
AI 中文摘要
全息多输入多输出（HMIMO）通过实现对大孔径的连续电磁场控制，已成为未来无线系统的一项有前途的技术。然而，在大规模阵列系统中，用户端的电磁暴露已成为一个日益重要的问题。本文通过建立多用户上行链路HMIMO模型来解决这一问题，其中建立了一个物理上一致的比吸收率（SAR）模型来量化电磁暴露。在此基础上，通过改进的迭代注水算法解决了频谱效率（SE）最大化问题。仿真结果表明，该算法在满足SAR约束的同时有效地提高了系统SE。
英文摘要
Holographic multiple-input multiple-output (HMIMO) has emerged as a promising technology for future wireless systems by enabling continuous electromagnetic (EM) field control over large apertures. However, user-side EM exposure has become an increasingly important concern in large-scale array systems. This paper addresses this issue by developing a multiuser uplink HMIMO model, where a physically consistent specific absorption rate (SAR) model is established to quantify the EM exposure. On this basis, a spectral efficiency (SE) maximization problem is addressed by developing a modified iterative water-filling algorithm. Simulation results demonstrate that the proposed algorithm effectively improves the system SE while satisfying the SAR constraints.
Comments6 pages, 4 figures, to appear on IEEE Transactions on Vehicular Technology
