RINGS: Robust and Resilient Wireless Networks using Next Generation Spectrum

RINGS：使用下一代频谱的稳健且有弹性的无线网络

• 批准号: 2148183
• 负责人: Randall Berry
• 金额: $ 85万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148183&HistoricalAwards=false
• 关键词: RINGS; Robust; Resilient; Wireless; Networks

Next-generation wireless networks will operate in an environment involving extensive sharing of underlying infrastructure and spectrum with heterogeneous characteristics. Many services will likely be provided by over-the-top providers that utilize multiple networks of shared spectrum and infrastructure to provide services to end-users. These trends raise new challenges in addressing how resources are effectively shared within a network and how service providers can effectively manage resources across different shared networks. These challenges are particularly acute when attempting to offer services that have stringent Quality of Service requirements, e.g., in terms of latency and reliability, and so require a high level of robustness. This project is developing an architecture, associated resource provisioning mechanisms, and autonomous control algorithms to meet these challenges and toenable robust and resilient next-generation wireless networks based on infrastructure and spectrum sharing. The architecture being developed will enable service providers to utilize shared infrastructure and spectrum to increase resilience. A hierarchical architecture is being considered in which infrastructure and services are separated. Service provisioning schemes are being developed that include approaches for pooling different bands of spectrum with different availability, orchestrating service guarantees over a shared infrastructure, and providing probabilistic service guarantees over different timescales. Autonomous network control algorithms are also being developed that make intelligent use of the services provided by the underlying infrastructure. These algorithms learn the dynamics of the underlying infrastructure (e.g., capacity, latency, reliability) and dynamically adapt to changes in both the infrastructure and end-user traffic demands. A combination of simulation and testbed implementation is being used to evaluate and validate the algorithms. The project also seeks to introduce undergraduates into the research process and is incorporating the research results into advanced graduate courses..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.

下一代无线网络将在涉及广泛共享具有异构特征的底层基础设施和频谱的环境中运行。许多服务可能由顶级提供商提供，这些提供商利用共享频谱和基础设施的多个网络向最终用户提供服务。 这些趋势对解决如何在网络内有效共享资源以及服务提供商如何跨不同共享网络有效管理资源提出了新的挑战。当尝试提供具有严格的服务质量要求（例如延迟和可靠性方面）的服务时，这些挑战尤其严峻，因此需要高水平的稳健性。该项目正在开发一种架构、相关资源供应机制和自主控制算法，以应对这些挑战，并实现基于基础设施和频谱共享的强大且有弹性的下一代无线网络。 正在开发的架构将使服务提供商能够利用共享基础设施和频谱来提高弹性。 正在考虑采用分层架构，其中基础设施和服务是分离的。 正在开发的服务供应方案包括汇集具有不同可用性的不同频段的方法、在共享基础设施上协调服务保证以及在不同时间尺度上提供概率服务保证。自主网络控制算法也在开发中，可以智能地利用底层基础设施提供的服务。 这些算法了解底层基础设施的动态（例如容量、延迟、可靠性），并动态适应基础设施和最终用户流量需求的变化。仿真和测试台实施的结合用于评估和验证算法。该项目还寻求将本科生引入研究过程，并将研究成果纳入高级研究生课程。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Tracking MaxWeignt: Optimal Control for Partially Observable and Controllable Networks

Tracking MaxWeignt：部分可观可控网络的最优控制

• 发表时间: 2023-08
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Bai LIu; Qingkai Liang
• 通讯作者: Qingkai Liang

A Learning Approach to Minimum Delay Routing in Stochastic Queueing Networks

随机排队网络中最小延迟路由的学习方法

• DOI: 10.1109/infocom53939.2023.10229039
• 发表时间: 2023-05-17
• 期刊: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
• 作者: Xinzhe Fu;E. Modiano
• 通讯作者: E. Modiano

Hierarchical Thompson Sampling for Multi-band Radio Channel Selection

用于多频段无线电信道选择的分层汤普森采样

• 发表时间: 2023-07
• 期刊: IFIP Networking
• 作者: Jerrod Wigmore; Brooke Shrader
• 通讯作者: Brooke Shrader

Tracking Drift-Plus-Penalty: Utility Maximization for Partially Observable and Controllable Networks

跟踪漂移加惩罚：部分可观测可控网络的效用最大化

• 发表时间: 2024-04
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Bai Liu; Quang Minh
• 通讯作者: Quang Minh

Optimal Routing to Parallel Servers With Unknown Utilities—Multi-Armed Bandit With Queues

具有未知实用程序的并行服务器的最佳路由 – 带队列的 Multi-Armed Bandit

• DOI: 10.1109/tnet.2022.3227136
• 发表时间: 2023-10
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Fu, Xinzhe;Modiano, Eytan
• 通讯作者: Modiano, Eytan