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arXiv 2310.06754cs.ITcs.PFmath.IT
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RIS辅助OFDM蜂窝网络性能分析的随机几何框架

A Stochastic Geometry Framework for Performance Analysis of RIS-assisted OFDM Cellular Networks

Institut national de recherche en sciences et technologies du numérique (INRIA)(法国国家数字研究学院);Ecole Normale Supérieure(巴黎高等师范学院);Nokia Networks France(诺基亚法国网络)

Guodong Sun, Francois Baccelli, Ke Feng, Luis Uzeda Garcia, Stefano Paris

AI总结:

本文提出随机几何框架,建模RIS为Matérn簇过程,分析RIS辅助OFDM蜂窝网络的下行覆盖概率与遍历速率,并验证批量无源波束成形下参数影响。

摘要:

可重构智能表面(RIS)技术允许在复杂蜂窝网络中工程化空间分集。本文提供了一个用于RIS辅助网络系统级性能评估的框架,特别是下行覆盖概率和遍历速率。为了考虑基站(BS)和RIS空间部署的固有随机性,我们将RIS的放置建模为以关联BS为条件的点过程(PP),其中BS由泊松点过程(PPP)建模。这些RIS点过程可根据部署策略进行调整。我们重点将RIS建模为Matérn簇过程(MCP),其中每个RIS簇是一个有限PPP,其支撑集是以关联BS为中心的圆盘。我们假设系统采用正交频分复用(OFDM)技术以利用RIS提供的多径分集。当RIS作为批量无源波束成形器运行时,可以评估覆盖概率和遍历速率。所得解析表达式提供了一种通用方法,用于评估关键RIS相关参数(如批量大小和RIS密度)对系统级性能的影响。为了展示该框架的广泛适用性,我们还分析了一种RIS部署变体,其中RIS部署在覆盖空洞周围。解析表达式的数值评估和蒙特卡洛模拟共同验证了所提出的分析方法,并为未来RIS辅助蜂窝网络的设计提供了有价值的见解。

英文摘要:

The reconfigurable intelligent surface (RIS) technology allows one to engineer spatial diversity in complex cellular networks. This paper provides a framework for the system-level performance assessment of RIS-assisted networks and in particular downlink coverage probability and ergodic rate. To account for the inherent randomness in the spatial deployments of base stations (BSs) and RISs, we model the placements of the RISs as point processes (PPs) conditioned on the associated BSs, which are modeled by a Poisson point process (PPP). These RIS PPs can be adapted based on the deployment strategy. We focus on modeling the RISs as a Matérn cluster process (MCP), where each RIS cluster is a finite PPP with support a disc centered on the association BS. We assume that the system uses the orthogonal frequency division multiplexing (OFDM) technique to exploit the multipath diversity provided by RISs. The coverage probability and the ergodic rate can be evaluated when RISs operate as batched powerless beamformers. The resulting analytical expressions provide a general methodology to evaluate the impact of key RIS-related parameters, such as the batch size and the density of RISs, on system-level performance. To demonstrate the framework's broad applicability, we also analyze a RIS placement variant where RISs are deployed around coverage holes. Numerical evaluations of the analytical expressions and Monte-Carlo simulations jointly validate the proposed analytical approach and provide valuable insights into the design of future RIS-assisted cellular networks.

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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