NeTS: Small: Spatial Spectrum Sensing-Based Device-to-Device (D2D) Networks

移动数据应用的持续增长预计将在未来十年引发移动流量的大幅增长。卸载蜂窝网络流量的用户设备之间的直接设备到设备（D2D）通信具有成为解决这一移动数据挑战的解决方案的组成部分的巨大潜力。在这个项目中，研究人员将引入一种新的频谱接入模型，称为基于传感的D2D通信，以显着提高移动宽带网络的整体网络频谱效率。在基于传感的D2D中，用户利用空间频谱传感来探索底层蜂窝网络频带内的时间和空间频谱传输机会。配备空间频谱传感，这些用户可以有效地利用可用的未占用蜂窝频谱，同时为传统的基站到设备用户提供足够的保护。该项目将为未来的移动宽带网络提供一种新的使能技术，并将通过提供基于软件和硬件的实施和实验活动，有效地丰富教育材料。该研究项目有三个相互关联的重点。在第一个推动力中，将利用检测理论和随机几何，开发基于传感的D2D的理论分析和实际设计的综合框架，将用户驱动的空间频谱传感与整体网络性能联系起来。在第二个重点中，将确定基于感知的D2D的最佳系统设计和资源分配。现有技术，如分布式缓存和毫米波通信，将集成到基于传感的D2D中。在第三个要点中，将使用软件和硬件试验台来评估所开发方案的性能，以获得实际性能的想法。该研究的关键方面是，该项目的成功将导致目前流行的无线网络设计方法的重大转变，并可以在现实系统假设下提供对移动数据增长挑战的全面响应。

The continuing growth of mobile data applications is expected to trigger a large increase in mobile traffic over the next decade. Direct device-to-device (D2D) communications between user devices that offload cellular network traffic has a great potential to be an integral part of the solution to address this mobile data challenge. In this project, the researchers will introduce a novel spectrum access model, called sensing-based D2D communication, to significantly improve the overall network spectral-efficiency of a mobile broadband network. In sensing-based D2D, users utilize spatial spectrum sensing to explore temporal and spatial spectrum transmission opportunities within the underlying cellular network bands. Equipped with spatial spectrum sensing, these users can efficiently utilize the available non-occupied cellular spectrum while providing enough protection to legacy base-station-to-device users. This project will result in a new enabling technology for future mobile broadband networks and will also effectively enrich educational materials by providing software and hardware-based implementation and experimental activities.The research project has three interconnected thrusts. In the first thrust, a comprehensive framework for both theoretical analysis and practical design of sensing-based D2D that connects the user-driven spatial spectrum sensing to the overall network performance will be developed, using detection theory and stochastic geometry. In the second thrust, optimal system design and resource allocation of sensing-based D2D will be identified. Existing techniques, such as distributed caching and millimeter wave communications, will be integrated into sensing-based D2D. In the third thrust, the performance of the developed schemes will be evaluated using both software and hardware test-beds to obtain ideas on real-world performance. The key aspect of the proposed research is that the success of the project will lead to a big shift from currently popular design methodologies used for wireless networks and can provide a comprehensive response to mobile data growth challenge under realistic system assumptions.