SpecEES: Efficient Monitoring and Spectrum Utilization in Multi-Layer Wireless Networks

SpecEES：多层无线网络中的高效监控和频谱利用

• 批准号: 1824518
• 负责人: Wenye Wang
• 金额: $ 60万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824518&HistoricalAwards=false
• 关键词: SpecEES; Efficient; Monitoring; Spectrum; Utilization

With the proliferation of wireless applications and devices, the demand for wireless data, and hence for wireless bandwidth, is growing exponentially. Unfortunately, these growing demands need to be met via the available radio spectrum, which is limited and therefore has to be efficiently shared among various wireless systems and devices. Effective spectrum sharing demands enhanced capability and increased intelligence at the wireless devices, capable of operating over multiple frequency bands through multiple radio access technologies (RATs); this is becoming a reality thanks to the continuous advances in the industrial sector. Therefore, the globally interconnected wireless networks are evolving into a large-scale system that simultaneously supports billions of user and trillions of devices and exhibits huge heterogeneity in all aspects. The goal of this proposal is to realize efficient spectrum and energy utilization in this huge, dynamic and heterogeneous system. In contrast to existing approaches, a new angle is taken in this project that exploits the richness and complexity of the multi-RAT, multi-band environments to our advantage, in a multi-layer fashion, so as to achieve dramatic improvement in resource utilization and system performance. The expected outcome will be valuable to all players in the wireless industry, as well as to all sectors of the national economy that benefit from wireless innovation. The inter-disciplinary nature of the proposed research will naturally help promote cross-disciplinary education and well-rounded training of the future information technology workforce.The proposed research is comprised of four thrusts: (i) acquisition and analytics of real-time spectrum activities to build multi-layer spectrum snapshots, which we call SpecSnap, (ii) building a fundamental framework to construct distributed and time/energy-efficient spectrum allocation algorithms under heterogeneous environments with multi-RAT in a principled manner, both for single-hop access to infrastructure and multihop access for device-to-device (D2D) communications, (iii) studying how to achieve fast rendezvous in multi-layer spectrum environments, and (iv) exploring abundant opportunities in multi-layer networks for efficient pairwise and broadcast communications via intra- and inter-layer topology design. The main challenge lies in the extreme heterogeneity of spectrum band occupancy and quality-of-service requirement of devices operating on diverse frequency bands with different channel characteristics over a wide range of spatio-temporal scales. The proposed research will be evaluated through theoretical analysis, numerical and network simulation, prototype implementation, and experimentation on real testbeds.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.

随着无线应用程序和设备的激增，对无线数据的需求以及对无线带宽的需求呈指数级增长。不幸的是，这些不断增长的需求需要通过可用的无线电频谱来满足，这些频谱是有限的，因此必须在各种无线系统和设备之间有效地共享。要实现有效的频谱共享，无线设备必须具备更强的能力和更高的智能，并能通过多种无线电接入技术在多个频带上运行；由于工业部门的不断进步，这正在成为现实。因此，全球互联的无线网络正在发展成为一个同时支持数十亿用户和数万亿设备的大规模系统，并在各个方面表现出巨大的异构性。该方案的目标是在这个庞大、动态和异构的系统中实现高效的频谱和能量利用。与现有方法相比，本项目采用了一个新的角度，以多层方式利用多rat、多频段环境的丰富性和复杂性，从而显著提高资源利用率和系统性能。预期的结果对无线行业的所有参与者以及从无线创新中受益的国民经济的所有部门都是有价值的。建议研究的跨学科性质，自然有助推动跨学科教育和培养未来的资讯科技人才。拟议的研究包括四个重点：(i)获取和分析实时频谱活动，以构建多层频谱快照，我们称之为SpecSnap； （ii）构建一个基本框架，以原则的方式构建异构环境下的分布式和时间/节能频谱分配算法，用于基础设施的单跳访问和设备对设备（D2D）通信的多跳访问；（iii）研究如何在多层频谱环境下实现快速交会；（iv）通过层内和层间拓扑设计，探索多层网络中有效的两两和广播通信的丰富机会。主要挑战在于频谱占用的极端异质性和在广泛的时空尺度上具有不同信道特性的不同频带上运行的设备的服务质量要求。该研究将通过理论分析、数值和网络模拟、原型实现以及在真实测试台上的实验来评估。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识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

Differential Privacy and Prediction Uncertainty of Gossip Protocols in General Networks

通用网络中Gossip协议的差分隐私和预测不确定性

• DOI: 10.1109/globecom42002.2020.9322558
• 发表时间: 2020
• 期刊: 2020 IEEE Global Communications Conference (GLOBECOM
• 作者: Huang, Yufan;Jin, Richeng;Dai, Huaiyu
• 通讯作者: Dai, Huaiyu

Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks

• DOI: 10.1109/tnse.2019.2951084
• 发表时间: 2020-07-01
• 期刊: IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
• 影响因子: 6.6
• 作者: Hosseinalipour, Seyyedali;Mao, Jiayu;Dai, Huaiyu
• 通讯作者: Dai, Huaiyu

Opportunistic Spectrum Access: Does Maximizing Throughput Minimize File Transfer Time?

• DOI: 10.23919/wiopt52861.2021.9589243
• 发表时间: 2021-09
• 期刊: 2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)
• 作者: Jie Hu;Vishwaraj Doshi;Do Young Eun

Minimizing File Transfer Time in Opportunistic Spectrum Access Model

• DOI: 10.1109/tmc.2022.3212926
• 发表时间: 2022-10
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Jie Hu;Vishwaraj Doshi;Do Young Eun

Multiplex Conductance and Gossip Based Information Spreading in Multiplex Networks

• DOI: 10.1109/tnse.2018.2838104
• 发表时间: 2019-07
• 期刊: IEEE Transactions on Network Science and Engineering
• 影响因子: 6.6
• 作者: Yufan Huang;H. Dai