能耗和时延感知的虚拟化云无线接入网络资源分配机制

王汝言; 徐宁宁; 吴大鹏

doi:10.11999/JEIT180063

能耗和时延感知的虚拟化云无线接入网络资源分配机制

doi: 10.11999/JEIT180063

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

基金项目: 国家自然科学基金(61371097, 61771082)，重庆市高校创新团队建设计划(CXTDX201601020)

详细信息

作者简介:
王汝言：男，1969年生，博士，教授，研究方向为泛在网络、全光网络理论与技术、多媒体信息处理等

徐宁宁：女，1993年生，硕士生，研究方向为光无线融合网络

吴大鹏：男，1979年生，博士，教授，研究方向为泛在无线网络、社会计算、互联网服务质量控制等

通讯作者:
徐宁宁　753113493@qq.com

中图分类号: TP393.04
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出版历程
- 收稿日期: 2018-01-16
- 修回日期: 2018-09-26
- 网络出版日期: 2018-10-19
- 刊出日期: 2019-01-01

Energy Consumption and Delay-aware Resource Allocation Mechanism for Virtualization Cloud Radio Access Network

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

Funds: The National Natural Science Foundation of China (61371097, 61771082), Chongqing Funded Project of Chongqing University Innovation Team Construction (CXTDX201601020)

摘要

摘要:
针对现有虚拟化云无线接入网络(C-RAN)资源利用率低、能耗高、用户服务质量无法得到保证等问题，该文提出一种能耗和时延感知的虚拟化资源分配机制。根据虚拟化C-RAN的网络特点及业务流量特征，考虑资源约束和比例公平，建立能耗和时延优化模型。进而，利用启发式算法为不同类型虚拟C-RAN和用户虚拟基站分配资源，完成资源的全局优化配置。仿真结果表明，所提资源分配机制在提高网络资源利用率的同时，不但使能耗节省了62.99%，还使时延降低了32.32%。
- 云无线接入网 /
- 网络虚拟化 /
- 时波分复用无源光网络 /
- 资源分配
Abstract:
To solve the problems of low resource utilization rate, high energy consumption and poor user service quality in the existing virtualized Cloud Radio Access Network (C-RAN), a virtual resource allocation mechanism based on energy consumption and delay is proposed. According to the network and traffic characteristics of the virtualized C-RAN, considering the resource constraints and proportional fairness, an energy consumption and delay optimization model is established. Furthermore, a heuristic algorithm is used to allocate resources for different types of virtual C-RAN and user virtual base stations to complete resource global optimization configuration. Simulation results show that the proposed resource allocation mechanism can effectively save energy by 62.99% and reduce the latency by 32.32% while improving the network resource utilization.
- Cloud Radio Access Network (C-RAN) /
- Network virtualization /
- Time and Wavelength Division Multiplexing-Passive Optical Network (TWDM-PON) /
- Resource allocation

HTML全文

图 1 小规模网络中不同业务流量下的能耗比较

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图 2 小规模网络中不同业务流量下的总业务时延比较

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图 3 12点时刻时延和能耗的权衡

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图 4 动态和静态算法的能耗比较

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图 5 动态和静态算法的总业务时延比较

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