EAGER: SC2: A Simple, Robust, and Flexible Framework for Collaborative Spectrum Sharing

无线通信正在深刻地影响着这个星球上绝大多数人的日常生活。对网络容量永无止境的需求促使人们采取了一种完全不同的频谱利用方式。该项目的工作将使新的协作频谱共享方法成为可能，这将影响任何直接或间接依赖无线通信的人的生活。该项目的主要目标是研究、开发和实现协作频谱共享的技术解决方案概念，并在与其他竞争方法的正面交锋中测试其性能。关键研究领域集中在敏捷、可重构无线电、射频环境理解、网络范围上下文化、推理以及与其他协作和竞争无线电网络的协作。该项目将利用基于机器学习原理的简单而强大的技术，解决创建协作智能无线电的关键构建模块。

Wireless communications are affecting deeply the daily lives of the overwhelming majority of people on this planet. The insatiable demand for network capacity has motivated an entirely different approach on spectrum utilization. The work in this project will enable new collaborative spectrum sharing approaches that will impact the lives of anybody relying directly or indirectly on wireless communications. The main objective of this project is to research, develop, and implement technical solution concepts for collaborative spectrum sharing and to test their performance in head-to-head scrimmages with other competing approaches. The key research areas focus on agile, reconfigurable radios, RF environmental understanding, network wide contextualization, reasoning and collaboration with other collaborating, and yet competing, radio networks. The project will address key building blocks to create a collaborative intelligent radio using simple but robust techniques building on machine learning principles.