Collaborative Research: Applying Behavioral-Ecological Network Models to Enhance Distributed Spectrum Access in Cognitive Radio

合作研究：应用行为生态网络模型增强认知无线电中的分布式频谱接入

• 批准号: 1638618
• 负责人: Bilal Khan
• 金额: $ 29.7万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638618&HistoricalAwards=false
• 关键词: Collaborative; Research; Applying; Behavioral; Ecological

The scientists identify fair resource sharing methods as a critical concern in the design of smart radio networks. The researchers note that fair sharing of resources is of fundamental importance in human communities, and propose to apply social network methods to the design of dynamic spectrum access systems. By applying the experience from a mature field, they plan to solve some of the more complex issues related to spectrum sharing in a constantly changing technical environment.In drawing the connection from the problem of resource-sharing in Cognitive Radio (CR), to models of solutions found within human/animal societies, the proposed research evaluates the extent to which our models of patterns of co-use in biological systems can be profitably leveraged within the context of distributed uncoordinated CR societies to enable individuals and groups to maximize their utility. Of particular relevance to this endeavor is recent ethnographic research on foraging networks of indigenous peoples and human foragers, which has found social relations to be a critical context in which natural selection acts on resource use and co-use behaviors. These findings concerning human behavior lie at the forefront of anthropology, revealing the tensions between sharing networks and optimal strategies and altering our understanding of past human social evolution, and by extension, our vision of the future evolution of artificial CR societies.

科学家们将公平的资源共享方法确定为智能无线电网络设计中的一个关键问题。 研究人员指出，资源的公平共享在人类社会中具有根本的重要性，并建议将社会网络方法应用于动态频谱接入系统的设计。 通过应用成熟领域的经验，他们计划在不断变化的技术环境中解决与频谱共享相关的一些更复杂的问题。在将认知无线电（CR）中的资源共享问题与人类/动物社会中的解决方案模型联系起来时，拟议的研究评估了我们的合作模式模型在多大程度上生物系统中的使用可以在分布式不协调的CR社会的背景下有利地利用，以使个人和团体能够最大化其效用。与这一奋进特别相关的是最近对土著人民和人类觅食者觅食网络的人种学研究，该研究发现社会关系是自然选择对资源使用和共同使用行为起作用的关键背景。这些关于人类行为的发现处于人类学的最前沿，揭示了共享网络和最佳策略之间的紧张关系，改变了我们对过去人类社会进化的理解，进而改变了我们对人工CR社会未来进化的看法。