Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay made Practical

脏纸上的盲文复写：无缝频谱底层变得实用

基本信息

批准号：
2118002
负责人：
Nikolaos Sidiropoulos
金额：
$ 38.8万
依托单位：
University of Virginia Main Campus
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118002&HistoricalAwards=false
关键词：
Blind Carbon Copy Dirty Paper

项目摘要

From smart homes to smart cars and highways, and from smart health to precision agriculture, emerging technologies will soon demand ubiquitous connectivity for billions of wireless devices. The demand for more spectrum has finally started to outweigh resistance to spectrum reuse. There is currently strong impetus for introducing innovative spectrum sharing modalities that enable improved spectrum utilization and seamless cohabitation, without requiring tight coordination across legacy, scientific, government, military, and commercial users. Spectrum underlay is a promising paradigm towards this end. It provisions secondary transmissions that operate without disturbing the primary user. Practical means of accomplishing this without requiring tight coordination between the primary and the secondary system have remained elusive, however. This project develops practical spectrum underlay solutions which enable reliable secondary communication in scenarios where this would otherwise seem untenable: without primary-secondary coordination or channel state information, under potentially strong and time-varying interference from the primary system. The scope of potential applications includes Internet of Things (IoT), vehicular, and local area (e.g., WiFi) networks in congested spectrum areas.Ensuring United States leadership in spectrum research, technologies, and commercial/scientific applications requires investments in spectrum sharing innovations and developing a well-educated and diverse spectrum workforce. This projects makes contributions towards both of these goals. The proposed research builds upon the principal investigator's prior work on statistical signal processing, machine learning, and matrix theory, as well as practical communications engineering -- an ideal combination to educate and engage diverse graduate and undergraduate students on the board and in the lab. The research will develop state-of-the-art theory and engineering solutions geared towards practical implementation. The scope of the work includes the following synergistic components, organized in five thrusts: T1) Incorporating finite alphabet and error control coding constraints into the basic algebraic framework. T2) Developing multi-access and random interleaving solutions to ``orthogonalize'' multiple secondary transmissions in multiuser settings. T3) Analyzing performance under fading scenarios, with adaptive modulation and coding. T4) Addressing key engineering issues, namely, secondary user synchronization and analog-to-digital conversion, which are challenging when the secondary signal is much weaker than the interfering primary signal. T5) Developing a software radio testbed and conducting experiments to validate the proposed solutions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

从智能家园到智能汽车和高速公路，从智能健康到精确农业，新兴技术很快就需要数十亿个无线设备的无限连通性。对更多频谱的需求终于开始超过对频谱重复使用的抵抗力。目前有强大的动力来引入创新的频谱共享方式，可以改善光谱利用率和无缝同居，而无需在遗产，科学，政府，军事和商业用户之间进行紧密的协调。频谱底漆是朝着这一目标的有希望的范式。它提供的次要传输在不打扰主要用户的情况下运行。但是，实现这一目标的实际手段而不需要在主要系统和二级系统之间进行严格的协调，但仍然难以捉摸。该项目开发了实践频谱底层解决方案，该解决方案可以在否则看来是站不住脚的方案中可靠的二级通信：在潜在的强度且随时间变化的干扰下，如果没有初级广播协调或渠道状态信息。潜在应用的范围包括物联网（IoT），车辆和本地（例如WiFi）网络在拥挤的频谱区域中。在光谱研究，技术和商业/科学应用方面保持美国领导地位，需要在各种创新和发展良好的和发展良好的谱系工作方面进行投资。该项目为这两个目标做出了贡献。拟议的研究基于主要研究者在统计信号处理，机器学习和矩阵理论以及实践通信工程方面的先前工作，这是一种理想的组合，可以在董事会和实验室中教育和吸引多样化的毕业生和本科生。该研究将开发针对实际实施的最新理论和工程解决方案。工作范围包括以下协同组件，以五个推力组织：T1）将有限字母和错误控制编码约束纳入基本代数框架。 T2）开发多访问和随机交织的解决方案，以``正交化''多次二次传输。 T3）在褪色方案下分析性能，并具有自适应调制和编码。 T4）解决关键工程问题，即二级用户同步和模数转换，当次级信号比干扰主信号弱得多时，这具有挑战性。 T5）开发一个软件无线电测试台和进行实验以验证拟议的解决方案。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。