EARS: SAVANT - High Performance Dynamic Spectrum Access via Inter Network Collaboration
EARS: SAVANT - High Performance Dynamic Spectrum Access via Inter Network Collaboration
批准号:
1247764
负责人:
Dipankar Raychaudhuri
金额:
$45.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2016-12-31
中文摘要
该项目旨在通过无线资源管理中的网络间协作实现显著的频谱效率提升。所提出的SAVANT(经由网络间协作的频谱访问)架构基于一种新的协议接口,用于在相邻网络之间传播频谱使用信息、策略和算法,以使频谱共存算法能够减少干扰并提高频谱打包效率。一种新的域间频谱协调协议(ISCP)正在开发中,以使独立的网络能够协商无线资源管理策略,并可选择合并无线资源控制器以进行联合优化。将进行的研究范围包括ISCP协议的设计/验证、涉及网络协作的替代算法评估、原型实现和性能评估。该项目的方法包括分析、模拟和实验原型的混合。建立了无线电定位、传播和干扰的通用分析模型,并利用ISCP协议框架将其纳入网间协作的仿真研究中。这些仿真模型有望提供对要使用的协作无线资源优化算法类型的洞察,以及对ISCP开销、复杂性和性能的定量评估。该项目还包括一个实验原型轨道,其中使用新兴的软件定义网络(SDN)技术来开发具有多个协作网络的概念验证系统。建议的ISCP网络间协议具有大幅提高无线频谱利用率的潜力,因此可能会影响未来的行业标准。该项目还将编写教育材料,对研究生进行软件定义的网络和无线系统培训。
英文摘要
This project is aimed at achieving significant spectrum efficiency gains through inter network collaboration in radio resource management. The proposed SAVANT (spectrum access via inter network collaboration) architecture is based on a new protocol interface for dissemination of spectrum usage information, policies and algorithms between neighboring networks to enable spectrum coexistence algorithms that reduce interference and improve spectrum packing efficiency. A new inter-domain spectrum coordination protocol (ISCP) is being developed to enable independent networks to negotiate radio resource management policies and optionally merge radio resource controllers for joint optimization.The scope of research to be conducted includes ISCP protocol design/validation, evaluation of alternative algorithms involving network collaboration, prototype implementation and performance evaluation. The methodology for the project involves a mix of analysis, simulation and experimental prototyping. Generalized analytical models for radio localization, propagation and interference are developed and incorporated into simulation studies of inter-network cooperation using the ISCP protocol framework. These simulation models are expected to provide insight into the type of collaborative radio resource optimization algorithm to be used along with quantitative evaluation of ISCP overhead, complexity and performance. The project also includes an experimental prototyping track in which emerging software-defined network (SDN) technology is used to develop a proof-of-concept system with multiple collaborating networks. The proposed ISCP inter-network protocol has the potential for large gains in wireless spectrum utilization, and could thus influence future industry standards. The project will also produce educational materials for training of graduate students in software-defined networking and wireless systems.
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