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arXiv 2402.11547cs.ITeess.SPmath.IT
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混合RIS与子连接有源分区:性能分析与传输设计

Hybrid RIS With Sub-Connected Active Partitions: Performance Analysis and Transmission Design

Konstantinos Ntougias, Symeon Chatzinotas, Ioannis Krikidis

AI总结:

本研究提出新型混合RIS结构,其中至少一个反射子表面采用子连接有源设计,通过联合优化发射和RIS波束赋形权重,在满足功耗约束下提升多用户下行链路的能量效率,并分析渐近信噪比,揭示性能权衡。

摘要:

新兴的反射智能表面(RIS)技术有望通过无源反射波束赋形来增强无线通信系统的容量。然而,乘积路径损耗限制了其性能增益。全连接(FC)有源RIS,即将反射型功率放大器集成到RIS单元中,最近被引入以应对这一问题。此外,子连接(SC)有源RIS和混合FC有源/无源RIS变体,采用有限数量的反射型功率放大器,已被提出以提供节能效果。然而,它们在平衡不同容量需求和功耗约束方面的灵活性有限。在此方向上,本研究引入了新型混合RIS结构,其中至少一个反射子表面(RS)采用SC有源RIS设计。在单用户单输入单输出设置中,分析了FC有源/无源和所提出的混合RIS变体的渐近信噪比。此外,在每个场景中联合优化发射和RIS波束赋形权重,以在基站和有源RS的功耗约束下最大化混合RIS辅助多用户多输入单输出下行链路的能量效率。数值仿真和分析结果突出了所提出的RIS设计相对于基准的性能增益,揭示了非平凡的权衡,并提供了有价值的见解。

英文摘要:

The emerging reflecting intelligent surface (RIS) technology promises to enhance the capacity of wireless communication systems via passive reflect beamforming. However, the product path loss limits its performance gains. Fully-connected (FC) active RIS, which integrates reflect-type power amplifiers into the RIS elements, has been recently introduced in response to this issue. Also, sub-connected (SC) active RIS and hybrid FC-active/passive RIS variants, which employ a limited number of reflect-type power amplifiers, have been proposed to provide energy savings. Nevertheless, their flexibility in balancing diverse capacity requirements and power consumption constraints is limited. In this direction, this study introduces novel hybrid RIS structures, wherein at least one reflecting sub-surface (RS) adopts the SC-active RIS design. The asymptotic signal-to-noise-ratio of the FC-active/passive and the proposed hybrid RIS variants is analyzed in a single-user single-input single-output setup. Furthermore, the transmit and RIS beamforming weights are jointly optimized in each scenario to maximize the energy efficiency of a hybrid RIS-aided multi-user multiple-input single-output downlink system subject to the power consumption constraints of the base station and the active RSs. Numerical simulation and analytic results highlight the performance gains of the proposed RIS designs over benchmarks, unveil non-trivial trade-offs, and provide valuable insights.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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