课题基金 / 基金详情

Smart Infrastructures for Radio Access as a Service (SIRAS) - Software-defined Wireless Access Networks for Future Generations

Smart Infrastructures for Radio Access as a Service (SIRAS) - Software-defined Wireless Access Networks for Future Generations
无线接入即服务 (SIRAS) 的智能基础设施 - 面向下一代的软件定义无线接入网络
批准号:
RGPIN-2014-06119
负责人:
Leung, Victor
金额:
$5.9万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

Leung, Victor的其他基金

相似基金

相关文献

中文摘要
翻译
为了满足无线数据流量的指数级增长,预计到2020年全球将超过300艾字节/年,移动服务提供商正在部署异构网络,以微型、微型和飞蜂窝增强传统的大蜂窝,并利用混合的无线接入技术(RAT),如3G/4G蜂窝和802.11n/ac。然而,RAT的进步并没有与促进其有效部署的系统架构的新发展相匹配。新的无线系统架构应该可扩展以提供更大的容量,可编程以支持新功能和先进的RAT,并自组织以实现“即插即用”部署。我们建议通过解决重要的研究问题来填补这些空白,从而导致SIRAS,即无线接入即服务(RAaaS)的智能基础设施的发展,通过利用新兴的云计算和虚拟化技术,实现具有成本效益和效率的下一代无线接入,这些技术很有前途,但尚未广泛探索无线接入网络的方法。SIRAS将云计算的效率以及软件定义网络(SDN)的可控性和可编程性扩展到无线接入网络,同时利用分布式天线系统和软件定义无线电(SDR)的最新进展。我们设想,SIRAS用分布式架构取代当前的集中式蜂窝架构,采用大规模分布式天线系统和自主小蜂窝,这些分布式架构使用适合特定环境的几种支持的RAT之一协作为单个流量流提供所需的服务质量(QoS),其中分布式交互由采用SDN技术的扩展控制平面协调。资源分配在每个流的基础上进行优化。这种分布式架构将通过按需利用云计算资源,结合本地资源,以具有成本效益和可扩展的方式虚拟化管理和信号处理功能,从而使RAaaS成为可能。因此,预计SIRAS能够通过增加基础设施容量和保证QoS,在成本、能源、复杂性和延迟方面立即有效地提供移动服务,无论何时何地出现需求。为了实现这一愿景,我们建议在无线接入网络研究中追求新的方向,开发新的架构,协议和管理算法,以实现上述SIRAS的潜在优势。本研究项目的总体目标是为这一新的研究方向做出根本性的贡献,这将对下一代无线接入网络产生重大影响。具体而言,我们在拟议项目中的工作将分为以下相互关联的研究任务:(A)实现多rat虚拟化RAaaS的SIRAS架构设计,(B)增强和优化RAaaS无线电和核心网资源分配的算法设计,(C)基于sdn的协议设计,实现SIRAS中流量负载均衡和管理功能虚拟化,(D)分布式算法和协议设计,支持虚拟化SIRAS无线电接入节点之间的认知和协作操作,(E) SIRAS测试平台开发和实验。这些任务将通过新颖的设计和性能评估,通过理论建模和计算机模拟来完成。利用所提出的微调实验测试平台,在SIRAS中为上述任务提出的有前途的技术将在现实条件下实施和评估,以进行概念验证演示和可能的商业化。
英文摘要
To meet the exponential growth of wireless data traffic, anticipated to exceed 300 Exabytes/year worldwide by 2020, mobile service providers are deploying heterogeneous networks that augment conventional macro-cells with micro-, pico-, and femto-cells, and are utilizing a mix of radio access technologies (RAT) like 3G/4G cellular and 802.11n/ac. However, advances in RAT have not been matched by new development of system architectures that facilitate their efficient deployment. New wireless system architectures should be scalable to provide increased capacity, programmable to support new functions and advanced RAT, and self-organized to enable “plug-and-play” deployment. We propose to fill these gaps by addressing important research problems leading to the development of SIRAS, Smart Infrastructures for Radio Access as a Service (RAaaS) to enable cost effective and efficient future generation wireless access by leveraging emerging cloud computing and virtualization techniques, which are promising but not yet widely explored approaches for wireless access networks. SIRAS extends the efficiency of cloud computing and the controllability and programmability of software-defined networks (SDN) to wireless access networks, while exploiting recent advances in distributed antenna systems and software defined radios (SDR). We envisage that SIRAS replaces the current centralized cellular architecture with a distributed architecture employing massively distributed antenna systems and autonomous small cells that collaborate to provide the required Quality of Service (QoS) to individual traffic stream using one of several supported RAT that is appropriate for the specific environment, where the distributed interactions are coordinated by an extended control plane that employs SDN techniques, and resource allocation is optimized on a per-flow basis. This distributed architecture would enable RAaaS by utilizing cloud computing resources in an on-demand basis, in combination with local resources, to virtualize management and signal processing functions in a cost effective and scalable manner. SIRAS is thus expected to be able to offer mobile services by increased infrastructure capacities and guaranteed QoS instantly and efficiently in cost, energy, complexity and latency wherever and whenever the demand arises. To realize this vision, we propose to pursue a new direction in wireless access networking research to develop new architecture, protocols and management algorithms that realize the potential benefits of SIRAS described above. The overall objective of this research project is to make fundamental contributions to this new research direction, which will have significant impacts on future generation wireless access networks. Specifically, our work in the proposed project will be divided into the following inter-related research tasks: (A) SIRAS architectural design to enable virtualized RAaaS for multi-RAT, (B) Algorithm design to enhance and optimize allocation of radio and core network resources for RAaaS, (C) SDN-based protocol design to enable traffic load balancing and management function virtualization in SIRAS, (D) Design of distributed algorithms and protocols to support cognitive and cooperative operations among virtualized SIRAS radio access nodes, and (E) SIRAS testbed development and experimentations. These tasks will be accomplished through novel design and performance evaluations by means of theoretical modeling and computer simulations. Utilizing the proposed fine-tuned experimental testbed, promising techniques proposed for aforementioned tasks in SIRAS will be implemented and evaluated under realistic conditions for proof-of-concept demonstrations and possible commercialization.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2022
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2021
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2020
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2019
  • 负责人:
    Leung, Victor
  • 依托单位:
海外基金