AI 中文总结
本文研究OFDM无小区大规模MIMO在硬件损伤下的上行性能，提出统一分析框架推导闭式表达式，并采用失真感知合并与最大最小公平资源分配以缓解性能下降。
AI 中文摘要
本文研究了在影响低成本接入点和无线前传收发器的硬件损伤存在下，基于OFDM的无小区大规模MIMO系统的上行链路性能。我们考虑一种采用功能拆分选项8的集中式架构，其中采样基带信号通过工作在毫米波或亚太赫兹频率的无线前传链路从接入点转发到中央处理单元。开发了一个统一的分析框架，以表征接入链路和前传链路上硬件失真的总体影响。特别地，在硬件受损的传输和接收下，推导了信道估计和上行链路频谱效率的闭式表达式。为了减轻由此产生的性能下降，考虑了用于无线前传的失真感知线性接收合并。此外，开发了一个最大最小公平资源分配框架，以联合优化上行链路发射功率、前传发射功率和前传时间扩展因子。
英文摘要
This paper studies the uplink performance of OFDM-based cell-free massive MIMO systems in the presence of hardware impairments affecting both low-cost access points and wireless fronthaul transceivers. We consider a centralized architecture with functional split option~8, where the sampled baseband signals are forwarded from the access points to the central processing unit through wireless fronthaul links operating at mmWave or sub-THz frequencies. A unified analytical framework is developed to characterize the aggregate impact of hardware distortions across the access and fronthaul links. In particular, closed-form expressions are derived for channel estimation and uplink spectral efficiency under hardware-impaired transmission and reception. To mitigate the resulting performance degradation, distortion-aware linear receive combining is considered for the wireless fronthaul. Moreover, a max-min fair resource allocation framework is developed to jointly optimize the uplink transmit powers, fronthaul transmit powers, and fronthaul time expansion factor.
Comments5 pages, 2 figures, to be presented at IEEE SPAWC 2026
