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

下一代无线网络的特点将是更大的容量、更快的信息传输和多样性。无线行业一直在通过利用非许可频谱的方法来改变传统的基于许可的频谱接入策略。这导致了动态频谱接入(DSA)，在这种情况下，未经许可使用频谱应避免损害获得许可的用户，或者应确保与其他未经许可的用户公平分享频谱。DSA给业务运营带来了额外的负担，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，现有的高水平频谱共享方法并不能很好地解决核心问题。相反，需要在时间、空间和频谱维度上进行更精细的频谱共享。此外，在如此精细的尺度下，考虑人类行为并将经济学整合到频谱共享的工具集中是至关重要的。最后，最近对网络安全的担忧要求这样一个系统必须将安全和隐私纳入其核心。该项目针对下一代DSA解决方案，在频谱、定价和隐私的结合点设计和开发高级频谱共享技术。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实施。这项研究的基本成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大学拟议的合作研究项目的见解将教育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。该项目探索四个主要目标：(1)采用认知安全云无线电接入网络(Cosec-RAN)架构的安全频谱资源计量解决方案。将数字基带数据保存在网络内可实现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和网络提供安全。(3)动态定价算法，根据可用容量和客户负载实时更新价格。这些定价算法反映了可用产能和需求的非平稳和随机性质。算法设计中包含了特定于客户的带宽要求和确保客户隐私的机制。(4)不完全信息的频谱感知方法。在来自网络的信息不完整的情况下，COSEC-RAN估计辅助用户位置的主要信号，以确保最大限度地减少干扰。开发的解决方案通过大规模模拟和全市范围的试验台进行了严格的测试。

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.