通信学报 ›› 2018, Vol. 39 ›› Issue (9): 94-109.doi: 10.11959/j.issn.1000-436x.2018156

• 论文Ⅱ:光传输系统与光网络优化 • 上一篇    下一篇

带有混合能量供电的TWDM-PON与C-RAN联合架构资源分配机制

王汝言1,2,徐宁宁1,2   

  1. 1 重庆邮电大学通信与信息工程学院,重庆 400065
    2 重庆高校市级光通信与网络重点实验室,重庆 400065
  • 修回日期:2018-08-10 出版日期:2018-09-01 发布日期:2018-10-19
  • 作者简介:王汝言(1969-),男,湖北浠水人,博士,重庆邮电大学教授、博士生导师,主要研究方向为泛在网络、多媒体信息处理等。|徐宁宁(1993-),女,河南漯河人,重庆邮电大学硕士生,主要研究方向为光无线融合网络。
  • 基金资助:
    国家自然科学基金资助项目(61371097);国家自然科学基金资助项目(61771082);重庆高校创新团队计划基金资助项目(CXTDX201601020)

Resource allocation mechanism in the TWDM-PON and C-RAN joint architecture with hybrid energy supply

Ruyan WANG1,2,Ningning XU1,2   

  1. 1 School of Telecommunication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2 Optical Communication and Network Key Laboratory of Chongqing,Chongqing,400065,China
  • Revised:2018-08-10 Online:2018-09-01 Published:2018-10-19
  • Supported by:
    The National Natural Science Foundation of China(61371097);The National Natural Science Foundation of China(61771082);Chongqing University Innovation Team Construction Project Funded Projects(CXTDX201601020)

摘要:

针对现有虚拟化云无线接入网络资源利用率低、能耗高、用户服务质量无法得到保证等问题,提出一种带有混合能量供电的能耗感知虚拟化资源分配机制。根据不同网络设备的能量来源和能量消耗情况,建立能量到达模型和能量消耗模型;进而,在保障用户服务质量的前提下,考虑比例公平和能耗优化,利用异步更新的分布式算法对不同类型虚拟云无线接入网和用户虚拟基站分配资源和能量,从而有效提高网络能量效率。仿真结果表明,所提资源分配机制能够降低能耗,同时有效地减小了时延,提高了吞吐量。

关键词: 云无线接入网, 网络虚拟化, 时波分复用无源光网络, 能量收集, 资源共享分配

Abstract:

Aiming at the problems of low resource utilization rate,high energy consumption and poor user service quality in the existing virtualized Cloud Radio Access Network,an energy-aware virtualized resource allocation mechanism with hybrid energy supply was proposed.According to the energy sources and energy consumption of different network devices,energy arrival and energy consumption models were established.Furthermore,under the premise of guaranteeing the quality of user services,considering proportional fairness and energy consumption optimization,distributed algorithms based on asynchronous update were used to allocate resources and harvested energy for different types of virtual cloud radio access networks and user virtual base stations to effectively improve the energy efficiency of network.The simulation results show that the proposed resource allocation mechanism can reduce energy consumption while effectively reducing the latency and improving the throughput.

Key words: cloud radio access network, network virtualization, time and wavelength division multiplexing-passive optical network, energy harvesting, resource sharing allocation

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