Collaborative Research: Wireless Packet Radio Network Architecture

合作研究：无线分组无线网络架构

• 批准号: 9979343
• 负责人: Bijan Jabbari
• 金额: $ 14.7万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9979343&HistoricalAwards=false
• 关键词: Collaborative; Research; Wireless; Packet; Radio

This research involves a novel adaptive and scalable wireless network architecture utilizing a mixture of cellular and packet radio network topologies for broadband multimedia communications. The architecture enables rapid adaptability to traffic, channel and interference conditions and will result in significant reductions in transmit power and potential throughput improvements. We investigate techniques that, by coordination among physical, data link, and network layers enable significant improvements in capacity and quality of service relative to the current state-of-the-art. The main thrust of our research consists of selective use of multiuser detection; self-organization; and adaptive routing. We consider multiuser detection techniques that exploit information available at the data link layer. Specifically, we are investigating the benefits of error detection side information in aiding interference cancellation and suppression. Research in self-organizing involves network connectivity optimization and allocation of resources. This optimization adapts network to topological changes on a relatively longer time scale. Network adaptation to physical and application layer attributes is primarily accomplished via adaptive routing. The investigators are evaluating the suitability of centralized and distributed, or perhaps hybrid, routing approaches. It is desired to provide rapid adaptation to changes in traffic and channel conditions, including interference, as well as changes in quality of service requirements.

这项研究涉及一种新型的自适应和可扩展的无线网络架构，利用蜂窝和数据包无线电网络拓扑的混合物用于宽带多媒体通信。该体系结构可以快速适应流量，渠道和干扰条件，并将大大降低发射功率和潜在吞吐量的改进。我们研究了技术，通过物理，数据链路和网络层之间的协调，相对于当前的最新目前，服务能力和服务质量可以显着提高。我们研究的主要目的包括选择性使用多源检测。自组织；和自适应路由。我们考虑利用数据链路层可用信息的多源检测技术。具体而言，我们正在研究错误检测侧信息的好处，以帮助取消和抑制。自组织的研究涉及网络连通性优化和资源分配。该优化使网络适应了相对较长的时间尺度上的拓扑变化。网络适​​应物理和应用程序层属性主要是通过自适应路由来完成的。研究人员正在评估集中和分布或混合路线方法的适用性。希望快速适应流量和渠道条件的变化，包括干扰以及服务需求质量的变化。