EARS: CogCloud: A Spectrum-Efficient and Green Cloud Platform for Radio-As-A-Service Over a Cognitive Radio Substrate

EARS：CogCloud：基于认知无线电底层的无线电即服务的频谱效率高的绿色云平台

• 批准号: 1443966
• 负责人: Jian Tang
• 金额: $ 59.67万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1443966&HistoricalAwards=false
• 关键词: EARS; CogCloud; Spectrum; Efficient; Green

Virtualization has been widely used in cloud computing to achieve performance isolation among multiple tenants, and to improve resource utilization and energy efficiency. However, research on wireless virtualization is still in its infancy. Due to the rapid growth in wireless networks in the last two decades and the fact that much of the prime wireless spectrum has already been allocated for specific service providers or services for exclusive use, the scarcity in the spectrum has become a serious concern. On the other hand, recent measurements have shown that the licensed spectrum is severely under-utilized. This has led to significant interest in cognitive radio transmission strategies.The objective of this project is to develop a spectrum-efficient cloud platform, namely CogCloud, to enable Radio-as-a-Service (RaaS) over a cognitive radio substrate, and minimize its energy consumption by designing a two-level closed-loop control framework that leverages cloud-level and BS-level optimization for coarse-grained and fine-grained control respectively over radio resources and wireless users. CogCloud is expected to have the following desirable properties: 1) RaaS for multiple independent Mobile Virtual Network Operators (MVNOs): Radio resources in a cognitive radio substrate are provided as a service to multiple independent MVNOs; 2) performance isolation: Changes in an MVNO (such as the number of wireless users, their traffic load, etc) do not affect the performance of wireless users of other MVNOs; 3) spectrum efficiency: spectrum availability is fully exploited by cognitive radios and efficiently managed by the cloud to support QoS-enabled wireless communications; 4) energy efficiency: the cognitive radio substrate and its radio resources are operated in the most energy-efficient way. To achieve these goals, the project is organized into four cohesive research thrusts: 1) system architecture design and implementation; 2) cloud-level optimization; 3) BS-level optimization for fine-grained control; and 4) validation and performance evaluation.The project is expected to make a significant impact on the advancement of cloud computing, cognitive radio networking and green communications, and advance public understanding of emerging research areas, such as wireless virtualization and cloud-based radio access networks (RANs), via publications, seminars, workshops and international collaborations. Special efforts are made to engage students from under-represented groups.

虚拟化已被广泛用于云计算中，以实现多个租户之间的性能隔离，并提高资源利用率和能源效率。但是，关于无线虚拟化的研究仍处于起步阶段。由于过去二十年来无线网络的迅速增长，并且事实上，许多主要的无线频谱已经为特定的服务提供商或服务分配了供独家使用，因此频谱中的稀缺性已成为一个严重的问题。另一方面，最近的测量结果表明，许可光谱严重不足。这引起了人们对认知无线电传输策略的重大兴趣。该项目的目标是开发一个频谱有效的云平台，即Cogcloud，即在认知无线电基板上实现无线电服务（RAAS），并通过设计两级式置换式范围，并通过设计优化的范围覆盖范围的范围越来越高，并最大程度地减少其能量消耗，并将其最小化。资源和无线用户。预计CogCloud具有以下理想的属性：1）多个独立移动虚拟网络运营商（MVNOS）的RAA：认知无线电基板中的无线电资源作为多个独立MVNOS的服务； 2）性能隔离：MVNO的更改（例如无线用户的数量，其流量负载等）不会影响其他MVNO的无线用户的性能； 3）频谱效率：频谱可用性由认知无线电完全利用，并通过云有效管理以支持启用QoS的无线通信； 4）能源效率：认知无线电基材及其无线电资源以最节能的方式运行。为了实现这些目标，该项目分为四个凝聚力的研究作用：1）系统体系结构设计和实施； 2）云级优化； 3）BS级优化用于细粒度控制； 4）验证和绩效评估。预计该项目将对云计算，认知无线电网络和绿色通信的进步产生重大影响，并通过出版物，研讨会，研讨会和国际合作提高公众对新兴研究领域的了解，例如无线虚拟化和基于云的无线电访问网络（RANS）。做出了特殊的努力，以吸引来自代表性不足的群体的学生。