EARS: Providing Predictable Service and Spectrum Access With Realtime Decision in Cognitive Multihop Wireless Networks

该项目的目标是设计实时的时空频谱共享、交易和访问方案，通过充分利用信道可用性（如空间、时间和频谱）和质量（如信噪比和数据率）的多样性来提高网络性能。PIs的重点是1)设计一个严格的频谱共享数学模型；2)设计高效的基于拍卖的实时频谱分配方法；3)研究周期性信道使用请求的可调度性，以及所设计协议的鲁棒性；4)基于多跳认知无线网络的在线优化技术，设计有效的分布式实时信道感知、探测、访问和路由策略；5)使用认知无线网络测试平台评估和测试所提出的算法和方法的性能。智力上的优点是，拟议的研究提供了理论和系统的方法来解决一些不太清楚的关键问题（例如，零遗憾在线频谱传感和访问，协议的鲁棒性），并提出了新的方法（例如，网络化多臂强盗）来解决这些具有挑战性的问题。该项目进一步提高了对多跳认知无线网络有效实时算法的理解和设计，该网络利用机会性资源，具有不可预测的在线请求和外部干扰。更广泛的影响是，本研究提出的解决方案缓解了频谱短缺问题，并利用了认知无线电技术的显著优势。本研究对认知无线网络的理论、算法设计与分析、协议设计和系统实现进行了严格的整合。

The objective of this project is to design real-time temporal-spatial spectrum sharing, trading and accessing schemes to improve the network performances by fully exploiting the channel availability (e.g., spatial, temporal, and spectral) and quality (e.g., signal to interference plus noise ratio and data rate) diversities. PIs focus on 1) designing a rigorous mathematical model for spectrum sharing; 2) designing efficient auction-based real-time spectrum allocation methods; 3) studying the schedulability of periodic channel usage requests, and the robustness of the designed protocols; 4) designing effective distributed real-time channel sensing, probing, accessing and routing strategies using online optimization techniques for multihop cognitive radio networks; 5) evaluating and testing the performances of proposed algorithms and methodologies using cognitive radio network testbeds.The intellectual merit is that the proposed research offers both theoretical and systematic methods to address some not well-understood key problems (e.g., zero-regret online spectrum sensing and accessing, robustness of protocols), and propose novel approaches (e.g., networked multi-armed bandit) to tackle these challenging problems. This project further enhances the understanding and designing of efficient real-time algorithms for multihop cognitive radio networks using resources opportunistically with unpredictable online requests and external disturbances.The broader impacts are that solutions proposed in this study alleviate the spectrum shortage problem and take advantage of the remarkable strength of cognitive radio technology. The proposed research rigorously integrates and thus sheds light on theory, algorithm design and analysis, protocol design and system implementation of cognitive radio networks.