This survey provides a comprehensive analysis of the integration of Reconfigurable Intelligent Surfaces (RIS) with edge computing, underscoring RIS’s critical role in advancing wireless communication networks. The examination begins by demystifying edge computing, contrasting it with traditional cloud computing, and categorizing it into several types. It further delves into advanced edge computing models like Multi-Access Edge Computing (MEC), Vehicle Fog Computing (VFC), and Vehicle Edge Computing (VEC) and challenges. Progressing deeper, the survey explores RIS technology, categorizing it into passive, active, and hybrid RIS, and offers an in-depth analysis of Beyond Diagonal RIS (BD-RIS), including reflective, transmissive, and Simultaneous Transmit and Reflect (STAR) modes. Subsequently, the study assesses RIS’s applications within edge computing, revealing its diverse use cases and strategies for performance analysis. The discussion comprises how RIS-driven computation can elevate rates, reduce latency, and contribute to an eco-friendly edge computing approach through better Energy Efficiency (EE). The survey also scrutinizes RIS’s role in bolstering security within edge computing. To aid comprehension, each subsection is complemented by summary tables that meticulously elaborate on, compare, and evaluate the literature, focusing on aspects like system models, scenarios, RIS details, Channel State Information (CSI), offloading types, employed schemes, methodologies, and proposed solutions. This organized approach ensures a cohesive and thorough exploration of the survey’s diverse topics. By illustrating the synergy between RIS and edge computing, the study provides valuable insights or lessons learned for enhancing wireless networks, paving the way for future breakthroughs in communication technologies. Before conclusion, the survey also identifies ongoing challenges and future research directions in RIS-assisted edge computing, emphasizing the vast potential of this field.

中文翻译：

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可重构智能表面辅助多接入边缘计算网络综述：现状与未来挑战


该调查对可重构智能表面 （RIS） 与边缘计算的集成进行了全面分析，强调了 RIS 在推进无线通信网络方面的关键作用。该检查首先揭开边缘计算的神秘面纱，将其与传统云计算进行对比，并将其分为几种类型。它进一步深入研究了先进的边缘计算模型，如多接入边缘计算 （MEC）、车辆雾计算 （VFC） 和车辆边缘计算 （VEC） 和挑战。该调查深入探讨了 RIS 技术，将其分为无源、有源和混合 RIS，并对超越对角线 RIS （BD-RIS） 进行了深入分析，包括反射式、透射式和同步发射和反射 （STAR） 模式。随后，该研究评估了 RIS 在边缘计算中的应用，揭示了其多样化的使用案例和性能分析策略。讨论包括 RIS 驱动的计算如何提高速率、减少延迟，并通过提高能源效率 （EE） 为环保的边缘计算方法做出贡献。该调查还仔细审查了 RIS 在加强边缘计算安全性方面的作用。为了帮助理解，每个小节都辅以汇总表，这些表格详细阐述、比较和评估文献，重点关注系统模型、场景、RIS 详细信息、信道状态信息 （CSI）、卸载类型、采用的方案、方法和建议的解决方案等方面。这种有组织的方法确保了对调查的不同主题的有凝聚力和彻底的探索。 通过说明 RIS 和边缘计算之间的协同作用，该研究为增强无线网络提供了宝贵的见解或经验教训，为通信技术的未来突破铺平了道路。在结论之前，该调查还确定了 RIS 辅助边缘计算的持续挑战和未来研究方向，强调了该领域的巨大潜力。