中继辅助MIMO的物理层方面
Physical-Layer Aspects of Repeater-Assisted MIMO
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中文总结 AI 辅助
本文研究网络控制中继辅助MIMO的物理层设计，涵盖硬件损伤、增益控制等，并探讨其在ISAC中扩展非视距感知、增强弱回波检测的潜力，但受限于噪声与校准误差，需联合优化。
中文摘要 AI 辅助
网络控制中继（NCR）正作为低成本、频带选择性的有源散射体出现，无需回程或严格的相位同步即可重塑无线传播环境。我们研究了中继辅助多输入多输出（RA-MIMO）网络的物理层设计，包括硬件损伤、增益与激活控制、双工方式、信道状态信息获取以及宽带延迟效应。随后，我们讨论了集成感知与通信（ISAC），其中中继可以扩展非视距（NLoS）可见性，提高目标可观测性，并增强弱回波检测。然而，这些增益受到放大噪声、杂波、反馈和校准误差的限制，这促使在ISAC中针对群体中继部署进行联合优化和增益控制框架的研究。
英文摘要
Network-controlled repeaters (NCRs) are emerg- ing as low-cost, band-selective active scatterers that can re- shape the wireless propagation environment without backhaul or tight phase synchronization. We study physical-layer design for repeater-assisted multiple-input multiple-output (RA-MIMO) networks, such as hardware impairments, gain and activation control, duplexing, channel-state information acquisition, and wideband delay effects. We then discuss integrated sensing and communication (ISAC), where repeaters can extend non- line-of-sight (NLoS) visibility, improve target observability, and enhance weak-echo detection. These gains, however, are limited by amplified noise, clutter, feedback, and calibration errors, motivating joint optimization and gain control frameworks for swarm repeater deployments within ISAC.
发表机构
- Linköping University（林雪平大学）
- The University of Electro-Communications（电气通信大学）
- Ericsson Research, Ericsson（爱立信研究，爱立信）
机构由 AI 辅助整理，请以论文原文为准。
