EWOC - Enabling Virtualized Wireless and Optical Coexistence for 5G and Beyond

EWOC项目旨在开发一种新型的融合光无线网络解决方案，该解决方案依赖于灵活的、可虚拟化的基础设施，需要实现超越5G （B5G）要求的全面资源优化。将通过合并光学层虚拟化、高频毫米波传输、多天线技术、小区致密化、基于地面光纤（ToF）的飞蜂窝连接和云无线接入网（C- RAN）架构等使能概念，寻求根本性的创新。EWOC将以高容量、低延迟通信（40-90 GHz频率）为目标，为5G基线提高50倍提供基础。这就需要开发新颖的飞蜂窝技术，并与第一轮传统部署无缝共存。这种情况还需要新颖的信道模型和仿真方法，以在覆盖、吞吐量和密度限制之间实现所需的权衡。EWOC将依靠光纤部署实现ToF连接，作为C-RAN架构的“附加功能”，支持具有不同需求的多功能服务的资源管理。场景兼容的光前传虚拟化技术，旨在提供超越最先进资源优化的成本效益，将通过新颖的光收发器方案和基于软件定义网络的数字信号处理技术来追求。研究和培训学科将作为实现科学和社会经济目标的基石，这些目标包括增加容量、覆盖范围、灵活性、频谱效率、成本效益、供应商不可知性和可升级性。EWOC为促进这种跨学科创新提供了一个框架，不同学科的模型和方法具有很强的互操作性。因此，EWOC培训网络旨在从专题和跨学科的角度为ESRs提供科学和专业成长的机会。

EWOC project aims at developing a novel converged optical wireless network solution relying on a flexible, virtualizable infrastructure, required for full resource optimisation beyond 5G (B5G) requirements. Fundamental innovation will be sought through merging of the enabling concepts of optical layer virtualization, high frequency mm-wave transmission, multiple antenna technology,cell densification, terra-over-fiber (ToF) based femtocell connectivity and cloud radio access network (C- RAN) architecture. EWOC will aim at high capacity, low latency communications (40-90 GHz frequency), providing the basis for a 50-fold improvement over the 5G baseline. This necessitates development of novel, femto-cell technology, and seamless coexistence with first round legacy deployment. Such scenario also requires novel channel models and simulation methodologies to attain the desired trade-off betweencoverage, throughput and densification limits. EWOC will rely on fiber-optic deployment towards ToF connectivity, as an "added on feature" for the C-RAN architecture supporting resource management of versatile services with varying demands. Scenario compliant optical fronthaul virtualisation techniques, designed to provide cost effective beyond state-of-the-art resource optimisation, will bepursued through novel optical transceiver schemes and software defined network-based digital signal processing techniques.Research and training disciplines will serve as building blocks towards the scientific and socio-economic goals of increased capacity, coverage, flexibility, spectral efficiency, cost effectiveness, vendor agnosticism, and upgradability.EWOC provides a framework for promotion of such interdisciplinary innovation, with strong interoperability of models and methodologies from different disciplines. As such, EWOC training network is designed to foster opportunities for scientific and professional growth of ESRs from both topical and interdisciplinary.