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

NETS-ProWiN：协作研究-在自组织网络中支持多方的动态频谱MAC奖宾夕法尼亚大学Saswati Sarkar奖0435306摘要动态频谱管理方面的重大进展以及不可避免的大部分无线电频谱的放松管制将彻底改变未来的无线网络、服务和应用。这将导致一个频谱高效的认知无线电时代，这将使在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。本项目正在研究为这种新环境设计一种新的可编程媒体访问控制(MAC)层。MAC必须规范未来的可编程无线电设备如何使用频谱感知通信算法高效地相互作用。在我们的研究中，我们利用随机控制、最优化、图论和估计理论等决策科学的工具，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。研究的预期结果包括设计一种可编程的MAC系统，该系统可以支持一类新的应用，包括增强的可靠性通信和频谱效率高的群组通信。拟议的可编程MAC平台及其软件的最终实施将使新的智能频谱感知算法和应用程序的开发成为可能。研究结果将为社区开发新的频谱感知无线电系统提供一套基础算法。这项研究促进了几项对生命至关重要的活动，例如搜救任务和救灾行动。这项研究还将丰富参与院校的教育课程，并促进代表不足的群体参与工程学。

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.