SpecEES: Collaborative Research: CoSeC-RAN: Cognitive Secure Cloud RAN for Efficient Spectrum Sharing

下一代无线网络将具有容量更大、信息传输速度更快和多样性等特点。无线行业一直在改变传统的基于许可的频谱接入策略，通过利用未经许可的频谱。这就导致了动态频谱接入（DSA），在这种情况下，频谱的未授权使用应避免损害已授权用户，或应确保与其他未授权用户公平共享频谱。DSA给业务操作带来了额外的负担，因为需要在动态变化的资源上产生收入，同时向潜在用户提供预期的服务质量。然而，现有的高级频谱共享方法并没有很好地解决核心问题。相反，需要在时间、空间和频谱维度上实现更精细的频谱共享。此外，在如此精细的尺度上，必须考虑人类行为，并将经济学纳入频谱共享的工具集。最后，最近的网络安全问题要求这样一个系统应将安全和隐私纳入其核心。该项目为下一代DSA解决方案设计和开发先进的频谱共享技术，将频谱、定价和隐私联系起来。该项目由安全、运营管理、决策科学、无线通信、网络和优化方面的专家组成的跨学科团队进行。这项研究的基本结果可以实现变革性的认知无线电网络管理和运营解决方案。该项目支持多名研究生。俄亥俄州立大学和内布拉斯加州大学林肯分校拟议的合作研究项目将为内布拉斯加州农村和俄亥俄州城市地区的工业界和学术界提供教育。该项目探索了四个主要目标：(1)采用认知安全云无线接入网络（CoSeC-RAN）架构的安全频谱资源计量解决方案。在网络中保留数字基带数据会导致更准确的资源分配和定价决策。(2)先进的安全和隐私保护解决方案。新颖的CoSeC-RAN架构使新的方向能够在保护用户隐私的同时为网络提供安全性。(3)动态定价算法，根据可用容量和客户负荷实时更新价格。这些定价算法反映了可用容量和需求的非平稳和随机特性。客户特定的带宽需求和确保客户隐私的机制被纳入算法设计中。(4)信息不完全的频谱感知方法。CoSeC-RAN利用来自网络的不完整信息估计次要用户位置的主要信号，以确保干扰最小。开发的解决方案经过大规模模拟和全市试验台的实验严格测试。

Next generation wireless networks will be characterized by larger volume, faster information transfer, and diversity. Wireless industry has been altering conventional license-based spectrum access policies through approaches utilizing unlicensed spectrum. This leads to dynamic spectrum access (DSA), where unlicensed use of a spectrum should avoid harm to licensed users, or should ensure a fair share of spectrum with other unlicensed users. DSA places an additional burden on business operations because revenue needs to be generated over dynamically changing resources, while providing expected quality of service to potential users. Yet, existing high-level approaches for spectrum sharing are not well poised to solve the core problem. Instead, finer-scale spectrum sharing in time, space, and spectrum dimensions is required. Furthermore, at such finer scales, it is essential to consider human behaviors and integrate economics into the tool-set of spectrum sharing. Finally, recent cyber-security concerns necessitate that such a system should incorporate security and privacy in its core. This project designs and develops advanced spectrum sharing techniques at the nexus of spectrum, pricing, and privacy, for next-generation DSA solutions. The project is conducted by an interdisciplinary team of experts in security, operations management, decision science, wireless communication, networking, and optimization. The fundamental results emerging from this research can enable transformative cognitive radio network management and operation solutions. The project supports multiple graduate students. Insights from the proposed collaborative research project between Ohio State and University of Nebraska Lincoln will educate both industry and academia across rural Nebraska and urban Ohio regions.The project explores four main goals: (1) Secure spectrum resource metering solutions with a Cognitive Secure Cloud Radio Access Networks (CoSeC-RAN) architecture. Preserving the digital base-band data within the network leads to more accurate resource assignment and pricing decisions. (2) Advanced security and privacy-preserving solutions. The novel CoSeC-RAN architecture enables new directions to provide security to and by the network while preserving user privacy. (3) Dynamic pricing algorithms, where prices are updated in real-time based on available capacity and customer load. These pricing algorithms reflect non-stationary and stochastic nature of both available capacity and demand. Customer- specific bandwidth requirements and mechanisms for ensuring customer privacy are incorporated into algorithm design. (4) Spectrum sensing methods with incomplete information. CoSeC-RAN estimates primary signals at secondary user locations, with incomplete information from the network, to ensure minimum interference. Developed solutions are rigorously tested through large-scale simulations and experimentally in a city-wide testbed.