Spectral Tweets: A Community Paradigm for Spatio-temporal Cognitive Sensing and Access

无线通信、网络和使用微型设备的计算的进步已经汇合，即使在传统的“低技术”经济部门也大大提高了生产率。另一方面，对无线电频谱的需求将超过频谱效率的进步。需要创新和实用的动态频谱感知和基于测量的频谱接入模式来弥合差距，并在不久的将来支持需求和国民经济。现在广泛接受的是，有效的频谱感知必须是一个合作的奋进，涉及许多传感器采取相对稀疏的测量跨空间，时间和频率。这个项目的愿景和出发点是，今天的智能手机和平板电脑是众包频谱感知的理想平台，这是一个可行的方式来创建一个频谱感知网络，跨越我们的生活和工作空间。但是，所有这些设备是否都可以协调起来，生成本地频谱图，揭示传输机会，并实现智能动态访问？一个吸引人的想法是将Twitter作为一种服务模型来多播短“光谱”推文。设备将根据GPS信息与当地社区挂钩，并设置“机器人”来跟踪附近其他设备的推文。

Advances in wireless communication, networking, and computation using miniaturized devices have come to a confluence that has greatly improved productivity even in traditionally "low-tech" sectors of the economy. The flip side is that demand for radio spectrum is on track to outpace advances in spectral efficiency. Innovative and pragmatic dynamic spectrum sensing and measurement-based spectrum access modalities are needed to bridge the gap, and support demand and the national economy in the not-so-distant future. It is now widely accepted that effective spectrum sensing must be a collaborative endeavor, involving many sensors taking relatively sparse measurements across space, time, and frequency. The vision and starting point of this project is that today's smart phones and tablets are ideal platforms for crowdsourcing spectrum sensing, and this is a viable way to create a spectrum sensing web that spans across much of our living and working space. But can all these devices be coordinated to produce local spectrum maps, reveal transmission opportunities, and enable intelligent dynamic access? An appealing idea is to employ Twitter as a service model to multicast short "spectral tweets." Devices will hook up to local communities based on GPS information, and set up "bots" to follow tweets from other devices in the neighborhood.