NeTS-ProWin: Collaborative Research: Dynamic Spectrum MAC with Multiparty Support in Adhoc Networks

net - prowin：协作研究——Adhoc网络中具有多方支持的动态频谱MAC奖励saswati Sarkar，宾夕法尼亚大学摘要动态频谱管理的重大进展和对大部分无线电频谱不可避免的放松管制将彻底改变未来的无线网络、服务和应用。这将导致频谱高效认知无线电的时代，这将使未来十年部署完全不同的无线电架构、算法和协议成为可能。本课题研究针对这种新环境设计一种新的可编程媒体访问控制（MAC）层。MAC必须规范未来可编程无线电设备如何使用频谱感知通信算法有效地相互交互。在我们的研究中，我们使用决策科学的工具，如随机控制、优化、图论和估计理论，将MAC设计建模为决策问题。我们通过一个由可编程无线电组成的实验实现来验证MAC的设计。该研究的预期结果包括可编程MAC系统的设计，该系统可以实现一类新的应用，包括增强可靠性通信和频谱高效组通信。所提出的可编程MAC平台及其软件的最终实现将使新的智能频谱感知算法和应用的开发成为可能。研究结果将提供一套基础算法，可用于社区开发新的频谱感知无线电系统。这项研究促进了若干攸关生命的活动，例如搜索和救援任务以及救灾行动。这项研究也将丰富参与院校的教育课程，并促进代表性不足的群体参与工程。

NeTS-ProWiN: Collaborative Research - Dynamic Spectrum MAC with Multiparty Support in Adhoc NetworksAward 0435306Saswati Sarkar, University of PennsylvaniaAbstractMajor advances in dynamic spectrum management and the inevitable deregulation of large portions of the radio spectrum will revolutionize future wireless networks, services, and applications. This will lead to an era of spectrum efficient cognitive radios that will enable the deployment of radically different radio architectures, algorithms, and protocols over the next decade. This project is studying the design of a new programmable media access control (MAC) layer for this new environment. The MAC must regulate how future programmable radio devices can efficiently interact with each other using spectrum-aware communication algorithms. In our study, we model the MAC design as decision problems using tools from decision sciences such as stochastic control, optimization, graph theory and estimation theory. We validate the design of the MAC through an experimental implementation consisting of programmable radios. The expected results from the research include the design of a programmable MAC system that can enable a class of new applications, including enhanced reliability communications and spectrum-efficient group communications. The resulting implementation of the proposed programmable MAC platform and its software will enable the development of new intelligent spectrum-aware algorithms and applications. The results of the research will provide a set of foundation algorithms that can be used by the community developing new spectrum-aware radio systems. The research facilitates several life-critical activities e.g., search and rescue missions and disaster relief operations. The research will also enrich the education curriculum of the participating institutions and foster the participation of under-represented groups in engineering.