NeTS: Small: Spectrum Sharing Systems for Wireless Networks: Performance and privacy challenges

消费者移动无线设备数量和性能的快速增长加速了对无线电频谱需求的增长。近年来，为了解决已分配频谱频带的拥塞问题并提供持续的增长机会，国家和国际监管机构已采取措施，确定蜂窝和Wi-Fi等移动无线服务使用的新频谱。不幸的是，无数其他系统和服务已经在使用可能对移动无线有用的频率范围内的频谱。由于为渴求频谱的移动无线服务开放新的未受限制频段的机会有限，监管机构正转向在日益广泛的系统类型之间共享频谱，作为唯一的手段。在最近的两个例子中，美国联邦通信委员会（Federal Communications Commission）为蜂窝服务拍卖了气象卫星服务和美国海军雷达使用的两个频段，这引发了人们对现有服务受到干扰以及现有服务维护其运营隐私能力的担忧。本项目探讨了构建频谱共享系统和严格检查设计交易的一般框架。频谱共享系统的设计目标分为性能、隐私和复杂性三大类。该项目将进行正式的优化分析，研究各种网络之间的资源（时间、频率和功率）分配，根据这些网络的频谱效用，在受干扰约束的情况下实现性能最大化。由于影响频谱共享所需的无线系统的操作信息，如位置、频率、使用时间和对干扰的敏感性，可能被认为是敏感的，因此本项目将回答是否、在什么条件下以及如何设计频谱共享系统来保护它所启用的系统的关键隐私水平。为此，该项目将考虑操作场景的范围、对手利用技术和混淆策略，以保护隐私，为分析开发相关的度量标准。

The rapid increase in the quantity and capability of consumer mobile wireless devices has accelerated the growth in demand for radio frequency spectrum. In recent years, to address congestion in allocated spectrum bands and allow for continued growth opportunities, national and international regulators have taken steps to identify new spectrum for use by mobile wireless services such as cellular and Wi-Fi. Unfortunately, myriad other systems and services already make use of spectrum in the frequency ranges that could be useful for mobile wireless. With limited opportunities to open up new unencumbered bands for spectrum hungry mobile wireless services, regulators are turning to spectrum sharing among increasingly broad system types as their only recourse. In two recent examples, the US Federal Communications Commission auctioned for cellular services two bands used by meteorological satellite services and US Navy radars, raising concerns about the interference to the incumbent services as well as the ability of incumbent services to maintain the privacy of their operations. This project explores a general framework for architecting spectrum sharing systems and examining design trades rigorously. The design goals of a spectrum sharing system will fall into three categories, namely, performance, privacy and complexity. The project will conduct formal optimization analysis to study the allocation of resources (time, frequency and power) among the various networks in terms of the resulting utility of the spectrum for those networks to maximize performance subject to interference constraints. Since the operational information about wireless systems needed to effect spectrum sharing, such as locations, frequencies, time of use, and susceptibility to interference, may be considered sensitive, this project will answer whether, under what conditions, and how a spectrum sharing system can be designed to protect a critical level of privacy for the systems it enables. To do so, the project will consider the scope of operational scenarios, adversary exploitation techniques, and obfuscation strategies to protect privacy, developing relevant metrics for the analysis.