...
首页> 外文期刊>Computer networks >Edge computing optimization for efficient RRH-BBU assignment in cloud radio access networks
【24h】

Edge computing optimization for efficient RRH-BBU assignment in cloud radio access networks

机译:边缘计算优化,可在云无线接入网中高效地分配RRH-BBU

获取原文
获取原文并翻译 | 示例
           

摘要

Cloud Radio Access Network (C-RAN) has been proposed as a promising architecture to overcome the challenges of next generation mobile networks (5G). The main concept of C-RAN is to decouple the Base-Band Units (BBU) and the Remote Radio Heads (RRH), and place the BBUs in common edge data centers (or BBU pools) for centralized processing. The optimal assignment of RRHs (or antennas) to edge data centers when jointly optimizing the fronthaul latency and resource consumption is one of the key issues in the deployment of C-RAN. This problem is NP-Hard and network operators need new assignment algorithms that can scale with large problem sizes and find good solutions in acceptable times. In this paper, we first model our constrained resource allocation problem by an exact approach based on Integer Linear Programming (ILP) formulation. Then, and for sake of scalability, we propose new heuristic algorithms with reduced complexity to rapidly achieve optimal (or near-optimal) solutions for the assignment of antennas demands to the available edge data centers. Simulation results highlight the efficiency and scalability of our proposed approximation algorithms and their ability to provide good solutions in negligible times. (C) 2019 Elsevier B.V. All rights reserved.
机译:已经提出了云无线电接入网(C-RAN)作为有希望的架构,以克服下一代移动网络(5G)的挑战。 C-RAN的主要概念是将基带单元(BBU)和远程无线头(RRH)分离,并将BBU放在公共边缘数据中心(或BBU池)中进行集中处理。联合优化前传延迟和资源消耗时,将RRH(或天线)分配给边缘数据中心的最佳配置是C-RAN部署中的关键问题之一。问题是NP-Hard,网络运营商需要新的分配算法,这些算法可以解决大问题并在可接受的时间内找到好的解决方案。在本文中,我们首先使用基于整数线性规划(ILP)公式的精确方法对受限资源分配问题进行建模。然后,出于可扩展性的考虑,我们提出了具有降低的复杂度的新启发式算法,以快速实现将天线需求分配给可用边缘数据中心的最佳(或接近最佳)解决方案。仿真结果突出了我们提出的近似算法的效率和可扩展性,以及它们在可忽略的时间内提供良好解决方案的能力。 (C)2019 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号