NeTS-WN: Cross-Layer Optimizations and Adaptive Protocols for Opportunistic and Collaborative Cognitive Radio Networks

本项目的重点是在协作认知无线电网络（CRN）的最佳资源分配和控制。CRN的目标是通过对可用频谱的机会性接入，实现更高的空间重用、可编程连接和更高的网络可用性，从而提高网络资源的利用率。研究议程包括集中的分析配方，旨在优化操作的底部三层，以及分布式路由和介质访问协议，实现这种优化的结果。联合优化的频谱，传输功率和CR通信速率将被认为是在几个主要的（频谱许可）无线电网络（PRN）的存在。将假定没有来自PRN的反馈。将研究几个配方，不同的信道动态（间接，用户移动性），优化窗口（数据包与流时间尺度），和可用性或其他功率屏蔽的假设。除了单跳优化，该项目还将考虑在数据包和流时间尺度上的多通道、多路径优化。优化结果将被集成到分布式信道接入和路径发现/维护协议的机会CRN的设计。取决于感兴趣的频带，CR传输上的固定功率掩码可能可用或不可用。将为这两种情况制定协议。在没有固定功率屏蔽的情况下，将进行PR干扰的统计建模，并将其用于MAC协议的设计中，该MAC协议支持对PR接收的中断率的概率保证。治疗将扩展到无连接和面向连接的应用程序。该项目的跨学科性质预计将对民用和军用应用中使用的许多无线技术产生深远的影响，包括传感器网络，网状网络，军用无线电和无线局域网。该优化框架提供了一种通用方法，该方法可以显著提高资源受限的无线网络的性能、连接性和互操作性。

The focus of this project is on optimal resource allocation and control in collaborative cognitive radio networks (CRNs). Through opportunistic access to the available spectrum, CRNs aim at improving the utilization of network resources by achieving higher spatial reuse, programmable connectivity, and increased network availability. The research agenda includes centralized analytical formulations that aim at optimizing the operation of the bottom three layers as well as distributed routing and medium access protocols that implement the outcomes of such optimization. Joint optimization of spectrum, transmission powers, and rates for CR communications will be considered in the presence of several primary (spectrum-licensed) radio networks (PRNs). No feedback from the PRNs will be assumed. Several formulations will be studied, which differ in the assumptions made on the channel dynamics (indirectly, user mobility), optimization window (packet vs. flow time scale), and availability or otherwise of power masks. Besides one-hop optimizations, the project will also consider multi-channel, multi-path optimizations at the packet and the flow time scales. The optimization results will then be integrated into the design of distributed channel access and path discovery/maintenance protocols for opportunistic CRNs. Depending on the frequency bands of interest, fixed power masks on CR transmissions may or may not be available. Protocols will be developed for both cases. In the absence of a fixed power mask, statistical modeling of PR interference will be conducted and used in the design of a MAC protocol that supports a probabilistic guarantee on the outage rate of PR receptions. The treatment will extend to both connectionless and connection-oriented applications. The cross-disciplinary nature of this project is expected to have a profound impact on many wireless technologies used in both civilian and military applications, including sensor networks, mesh networks, military radios, and wireless LANs. The optimization framework provides a general methodology that can significantly improve the performance, connectivity, and inter-operability of resource-constrained wireless networks in general.