基于无线传感器网络的认知无线网络业务案例评估

O. Grøndalen, M. Lahteenoja, Pål Grønsund
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引用次数: 20

摘要

本文提出并评估了在典型的欧洲城市部署传感器网络辅助认知无线电系统的三种商业案例场景。第一个也是主要的商业案例是基于频谱共享,几个频谱所有者建立一个合资企业,这个合资企业以一种认知的方式获得使用所有这些频谱所有者“未使用”的频谱资源的权利。然后,我们研究了频谱代理的商业案例,频谱代理是一个部署、建立和运营传感器网络的实体,并向一个或多个认知无线电运营商出售传感信息或频谱机会信息。最后,我们分析了一个没有现有基础设施或频率许可的新进入者的潜力,它使用传感器网络辅助认知无线电系统来提供游牧移动宽带服务。研究发现,频谱共享业务案例是所研究系统的最佳可能案例之一,因为合资运营商可以免费访问母公司的频率资源,对主要系统有详细的了解,并且与拥有运营商共享基础设施的可能性很大。然而,由于所研究的系统是一个创新的概念,因此一些假设的参数是不确定的,应该指出的是,商业案例计算的主要价值是确定影响盈利能力的关键方面,以便未来的研究和开发工作可以集中在他们身上。研究发现,最关键的方面是固定传感器的密度、固定传感器的运行成本和所需的新认知基站的数量。
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Evaluation of business cases for a cognitive radio network based on wireless sensor network
This paper proposes and evaluates three business case scenarios for deployment of a sensor network aided cognitive radio system in a typical European city. The first and main business case is based on spectrum sharing, where several spectrum owners establish a joint venture and this joint venture gets the rights to use the “unused” spectrum resources of all those spectrum owners in a cognitive way. Then we study the business case of a spectrum broker, an entity that deploys, builds and operates a sensor network and sells either sensing information or information on spectrum opportunities to one or more cognitive radio operators. Finally we analyze the potential of a new entrant without existing infrastructure or frequency licenses, that uses a sensor network aided cognitive radio system to offer a nomadic mobile broadband service. It is found that the spectrum sharing business case is one of the best possible cases for the studied system because the joint venture operator has free access to frequency resources of the mother companies, detailed knowledge of the primary systems and good possibilities for sharing infrastructure with the owning operators. However, since the studied system is an innovative concept and some of the assumed parameters are therefore uncertain, it should be noted that the main value of the business case calculations is to identify critical aspects influencing the profitability so that future research and development work can focus on them. It is found that the most critical aspects are the fixed sensor density, the fixed sensor operational costs and the number of new cognitive base station sites required.
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