NeTS: Medium: AC-MWN: A Novel Architecture for Application-Aware Cognitive Multihop Wireless Networks
NeTS:媒介:AC-MWN:应用感知认知多跳无线网络的新颖架构
基本信息
- 批准号:1065069
- 负责人:
- 金额:$ 44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-08-01 至 2015-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Given the recent upward trend in wireless traffic, capacity demand increases faster than spectral efficiency and availability. However, it has been well-known that in wireless communications, some of the spectra are significantly under-utilized. This fact has attracted researchers from academia and industry who are interested in the next generation of cognitive radio communication systems. Despite the tremendous ongoing efforts on this research topic, there is a huge gap between the research on cognitive radios and the network applications. This project exploits a novel wireless networking paradigm called Application-Aware Cognitive Multihop Wireless Networks (AC-MWN). This architecture includes a mega network layer for multihop wireless networks, which combines the major functionalities of medium access control, network and transport layers in the traditional layered model of wireless networks. The mega network layer has cognition to the spectrum availability and to the requirements of the network applications. Additionally, the new design can efficiently utilize the spectrum resources and effectively adjust the application resources, such as storage and computational capabilities. While AC-MWN accommodates the requirements of different network applications, it also can drive the capacity closer to the upper theoretical limit for MWNs. Therefore, this architecture satisfies the requirements of application-aware cognitive multihop wireless networks. The AC-MWN research effort will have a significant impact on the better understanding of the designs for future cognitive multihop wireless networks and provide improvements for many application domains, including public safety, disaster rescues, environmental monitoring, and medical applications.
考虑到无线业务的最近上升趋势,容量需求的增长速度快于频谱效率和可用性。然而,众所周知的是,在无线通信中,一些频谱明显未被充分利用。这一事实吸引了来自学术界和工业界的研究人员,他们对下一代认知无线电通信系统感兴趣。尽管人们在这一课题上付出了巨大的努力,但认知无线电的研究与网络应用之间仍存在巨大的差距。该项目利用了一种新的无线网络模式,称为应用感知认知多跳无线网络(AC-MWN)。该体系结构包括用于多跳无线网络的巨型网络层,其结合了传统无线网络分层模型中的介质访问控制层、网络层和传输层的主要功能。大型网络层对频谱可用性和网络应用的要求有认知。此外,新的设计可以有效地利用频谱资源,并有效地调整应用资源,如存储和计算能力。AC-MWN在满足不同网络应用需求的同时,还可以使容量更接近MWN的理论上限。因此,该架构满足应用感知认知多跳无线网络的要求。AC-MWN的研究工作将对更好地理解未来认知多跳无线网络的设计产生重大影响,并为许多应用领域提供改进,包括公共安全,灾难救援,环境监测和医疗应用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yi Qian其他文献
span style=font-family: ; Times= New= Roman?;font-size:12pt;?=Use of Computational Fluid Dynamics to Estimate Hemodynamic Effects of Respiration on Hypoplastic Left Heart Syndrome Surgery: Total Cavo
使用计算流体动力学来估计呼吸对左心发育不全综合征手术的血流动力学影响:Total Cavo
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Jinlong Liu;Yi Qian;Qi Sun;Jinfen Liu;Mitsuo Umezu - 通讯作者:
Mitsuo Umezu
Foundations of Trust and Distrust in Networks: Extended Structural Balance Theory
网络中信任与不信任的基础:扩展结构平衡理论
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Yi Qian;Sibel Adali - 通讯作者:
Sibel Adali
Preparation of pillared layered antimony hydroxide and its flame retardancy in thermoplastic polyurethane
柱撑层状氢氧化锑的制备及其在热塑性聚氨酯中的阻燃性能
- DOI:
10.1007/s10973-019-09028-4 - 发表时间:
2019-11 - 期刊:
- 影响因子:4.4
- 作者:
Yi Qian;Peng Qiao;Long Li;Haoyue Han;Rongmin Zhao;Haiming Zhang - 通讯作者:
Haiming Zhang
Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks
超可靠、低延迟车载网络的联合框架设计和资源分配
- DOI:
10.1109/twc.2020.2975576 - 发表时间:
2020-02 - 期刊:
- 影响因子:10.4
- 作者:
Haojun Yang;Kuan Zhang;Kan Zheng;Yi Qian - 通讯作者:
Yi Qian
Dynamic Facility Location in High Dimensional Euclidean Spaces
高维欧几里得空间中的动态设施定位
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Sayan Bhattacharya;Gramoz Goranci;;Yi Qian;Yubo Zhang - 通讯作者:
Yubo Zhang
Yi Qian的其他文献
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{{ truncateString('Yi Qian', 18)}}的其他基金
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2319486 - 财政年份:2023
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Collaborative Research: Expedite CSI Processing with Lightweight AI in Massive MIMO Communication Systems
合作研究:在大规模 MIMO 通信系统中利用轻量级 AI 加速 CSI 处理
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2139520 - 财政年份:2022
- 资助金额:
$ 44万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Secure and Efficient Mobile Edge Computing in Wireless Heterogeneous Networks
合作研究: CNS 核心:小型:无线异构网络中安全高效的移动边缘计算
- 批准号:
2008145 - 财政年份:2020
- 资助金额:
$ 44万 - 项目类别:
Standard Grant
Collaborative Research: EARS: Spectrum and Energy Efficient Radio Resource Access in Wireless Networks with Densely Deployed Underlay Devices
合作研究:EARS:具有密集部署的底层设备的无线网络中的频谱和节能无线电资源访问
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1547330 - 财政年份:2015
- 资助金额:
$ 44万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Scalability and Reliability for Network Communication Infrastructure in Smart Grid
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1423408 - 财政年份:2014
- 资助金额:
$ 44万 - 项目类别:
Standard Grant
Collaborative Research: C-HetNet - Towards Spectrum and Energy Efficient Next Generation Wireless Access Networks
合作研究:C-HetNet - 迈向频谱和能源高效的下一代无线接入网络
- 批准号:
1307580 - 财政年份:2013
- 资助金额:
$ 44万 - 项目类别:
Continuing Grant
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