In order to meet the requirements of services and applications envisioned for post-5G and 6G networks, research efforts are heading towards the convergence of architectures aiming to support the wide variety of new compute-demanding and latency-sensitive applications in the context of Tactile Internet. In this article, we study the resource allocation and association of users with different delay requirements in a shared-backhaul fiber-wireless (FiWi) enhanced Heterogeneous Cloud Radio Access Network (h-cran) with Multi-access Edge Computing (mec) and offloading. As opposed to traditional resource and association management, we propose a decentralized algorithm based on a full dual decomposition of the optimization problem to operate the network. Results show that this approach outperforms the traditional one in terms of average delay and energy consumption, achieving up to 80% average delay improvement in high-load scenarios.

中文翻译：

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H-CRAN 光纤无线网络中融合触觉互联网和 MEC 服务的分散协调

为了满足为后 5G 和 6G 网络设想的服务和应用程序的要求，研究工作正朝着架构融合的方向发展，旨在支持触觉互联网背景下的各种新的计算需求和延迟敏感的应用程序. 在本文中，我们研究了具有多接入边缘计算 (mec) 和卸载功能的共享回程光纤无线 (FiWi) 增强型异构云无线电接入网络 (h-cran) 中具有不同延迟要求的用户的资源分配和关联. 与传统的资源和关联管理相反，我们提出了一种基于优化问题的完全对偶分解的去中心化算法来操作网络。