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的自适应和可扩展的无线网络体系结构，该体系结构使用蜂窝和分组无线网络的混合拓扑结构来进行宽带多媒体通信。该架构能够快速适应业务、信道和干扰条件，并将显著降低发射功率和潜在的吞吐量改进。我们研究通过物理层、数据链路层和网络层之间的协调，实现相对于当前最先进水平的容量和服务质量的显著改进的技术。我们的研究主要包括选择性地使用多用户检测、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用户检测技术。具体地说，我们正在调查错误检测辅助信息在帮助干扰消除和抑制方面的好处。自组织研究涉及到网络连通性的优化和资源的分配。这种优化使网络适应相对较长时间尺度上的拓扑变化。网络对物理层和应用层属性的适配主要通过自适应路由来完成。研究人员正在评估集中式和分布式，或者可能是混合的路由方法的适用性。期望提供对业务和信道条件的变化(包括干扰)以及服务质量要求的变化的快速适应。