用智能表面提升通信网络覆盖，应对季节性遮挡问题
Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaul
- 基于随机几何模型分析智能表面辅助的接入与回传网络
- 仿真显示智能表面可有效提升用户最小速率达标概率
- 适合研究5G/6G无线网络优化与智能反射面部署的学者
本文研究可重构智能表面（RIS）对集成接入与回传（IAB）网络覆盖范围的影响。采用有限随机几何模型，考虑用户设备（UE）在有限区域内的随机分布及分层规划架构，分析服务覆盖率，定义为满足用户最低速率需求的概率。对比了仅使用IAB、IAB+RIS回传以及网络控制中继（NCR）等多种场景。重点考察广域IAB结合RIS的设计架构与部署方案，揭示其在应对季节性树叶遮挡时的冲突与协同效应。仿真结果表明，RIS在提升覆盖方面具有潜力，但实际部署仍面临挑战。
原文摘要 · Abstract (English)
In this paper, we study the impact of reconfigurable intelligent surfaces (RISs) on the coverage extension of integrated access and backhaul (IAB) networks. Particularly, using a finite stochastic geometry model, with random distributions of user equipments (UEs) in a finite region, and planned hierachical architecture for IAB, we study the service coverage probability defined as the probability of the event that the UEs' minimum rate requirements are satisfied. We present comparisons between different cases including IAB-only, IAB assisted with RIS for backhaul as well as IAB assisted by network controlled repeaters (NCRs). Our investigations focus on wide-area IAB assisted with RIS through the lens of different design architectures and deployments, revealing both conflicts and synergies for minimizing the effect of tree foliage over seasonal changes. Our simulation results reveal both opportunities and challenges towards the implementation of RIS in IAB.
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