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EARS: Collaborative Research: Mobile Millimeter-Wave Networking: Distributed Cognition and Coordination Algorithms using Novel On-Chip Phased-Arrays

EARS: Collaborative Research: Mobile Millimeter-Wave Networking: Distributed Cognition and Coordination Algorithms using Novel On-Chip Phased-Arrays
EARS:协作研究:移动毫米波网络:使用新型片上相控阵的分布式认知和协调算法
批准号:
1444026
负责人:
Atilla Eryilmaz
金额:
$45.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-11-01 至 2018-10-31

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中文摘要
翻译
由于过去二十年无处不在的连接的快速增长,无线环境变得越来越拥挤,导致无线电频谱即将陷入僵局。另一方面,最近的测量还表明,由于时间、空间和频隙的需求变化,许可的无线电频谱可能相当未被充分利用。无线电频谱中的这种日益增加的拥塞加上其利用中固有的低效率,最近激发了对毫米波频带的广泛兴趣,毫米波频带可以显著地扩展跨越20-100 GHz的可用通信频谱。然而,实施高效且具有成本效益的毫米波移动的网络技术需要针对天线设计、信令、认知和协调算法中的技术挑战的创新解决方案,这些技术挑战是针对这些新频带的特性而定制的。该项目的总体目标是通过开发一种综合和创新的方法来解决即将到来的无线电频谱危机,以便为未来的移动的网络利用毫米波频段。该项目的成果将有助于克服由于智能设备革命而迅速增长的数据服务需求激增,并将有助于缓解即将到来的无线电频谱拥塞,并为公众带来不间断的宽带连接。为了实现下一代毫米波移动的网络,本项目采用跨学科的方法,跨越天线设计,认知通信,和移动的网络。特别是,一种新的超宽带相控阵架构将开发低成本的毫米波移动的节点的片上实现。与此同时,高效的信令、信道感知和估计方案、决策策略将与节能操作原则以及服务质量感知算法沿着确定,这些算法将为下一代无线网络带来超过100 Gbps的数据速率。这种新型片上相控阵将具有前所未有的超宽带覆盖范围,具有多用户波束形成灵活性,同时与现有技术相比,效率提高了10倍。开发的相控阵将为扩频和/或跳频链路提供20- 100 GHz的连续覆盖范围(即5:1带宽),随后扩展到亚毫米波段(例如220 GHz大气窗口)。通过这种新型的超宽带前端,新的和有效的学习算法的移动的无线节点将探索动态和机会主义地访问20- 100 GHz的频谱在高度动态的环境中的目标。这种新的策略将有助于识别和利用移动的毫米波节点之间的能量有效的传输方案。此外,自适应和低复杂度的资源分配算法将开发有效的服务质量供应的目标毫米波制度。作为其变革性特征,这种协作和综合努力将首次实现高效且价格极低的下一代毫米波无线网络,不仅包含新颖的天线前端,还包含协同优化的信令和网络算法,以真正转变广泛的宽带移动的数据和多媒体服务。
英文摘要
Due to rapid growth in ubiquitous connectivity in the past two decades, the wireless landscape has become increasingly congested, leading to an impending gridlock of the radio frequency spectrum. On the other hand, recent measurements have also shown that the licensed radio frequency spectrum can be considerably underutilized due to demand variations in time, space, and frequency slots. This increasing congestion in the radio spectrum coupled with the inherent inefficiencies in its utilization has recently spurred widespread interest in the millimeter-wave band which could significantly expand the available communication spectrum spanning 20-100 GHz. However, the implementation of efficient and cost-effective millimeter-wave mobile networking technologies require innovative solutions to technical challenges in antenna-design, signaling, cognition, and coordination algorithms that are tailored to the characteristics of these new bands. The overarching objective of this project is to address the imminent radio spectrum crunch by developing an integrative and innovative approach to harness the millimeter-wave band for future mobile networks. The results of this project will help overcome the surge of data service demands that are rapidly growing due to the smart device revolution and will help relieve the impending congestion of the radio-frequency spectrum and usher uninterrupted broadband connectivity to the general public. Towards the realization of next generation millimeter-wave mobile networks, this project takes an inter-disciplinary approach spanning antenna-design, cognitive communication, and mobile networking. In particular, a novel ultra-wideband phased-array architecture will be developed for low-cost on-chip realization of millimeter-wave mobile nodes. In conjunction, efficient signaling, channel sensing and estimation schemes, decision-making strategies will be determined along with energy-efficient operation principles, and quality-of-service-aware algorithms that will usher in data-rates in excess of 100Gbps for future generation wireless networks. The novel on-chip phased-arrays will be built with unprecedented ultra-wideband coverage with multi-user beam-forming agility, while concurrently enabling 10-fold improvement in efficiency compared to the state of the art. The developed phased arrays will enable 20-100GHz continuous coverage (i.e. 5:1 bandwidth) for spread-spectrum and/or frequency hopping links, subsequently extending to the sub-millimeter-wavebands (e.g. the 220GHz atmospheric window). Enabled by this novel ultra-wideband front-end, new and efficient learning algorithms for mobile wireless nodes will be explored with the goal of dynamically and opportunistically accessing the 20-100GHz spectrum in highly-dynamic environments. This new strategy will help identify and utilize energy efficient transmission schemes between mobile millimeter-wave nodes. Additionally, adaptive and low-complexity resource allocation algorithms will be developed for effective quality-of-service provisioning in the targeted millimeter-wave regime. As its transformative feature, this collaborative and integrative effort will realize, for the first time, highly efficient and extremely affordable next generation millimeter-wave wireless networks, incorporating not only novel antenna front-ends but also synergistically optimized signaling and networking algorithms to truly transform a wide range of broadband mobile data and multimedia services.
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Collaborative Research: CNS Core: Medium: Foundations and Scalable Algorithms for Personalized and Collaborative Virtual Reality Over Wireless Networks
  • 批准号:
    2106679
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $26.6万
  • 财政年份:
    2021
  • 负责人:
    Atilla Eryilmaz
  • 依托单位:
SpecEES: Collaborative Research: Leveraging Randomization and Human Behavior for Efficient Large-Scale Distributed Spectrum Access
  • 批准号:
    1824337
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2018
  • 负责人:
    Atilla Eryilmaz
  • 依托单位:
NeTS: Small: Collaborative Research: Fast Online Machine Learning Algorithms for Wireless Networks
  • 批准号:
    1717045
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2017
  • 负责人:
    Atilla Eryilmaz
  • 依托单位:
Collaborative Research: Performance Analysis and Design of Systems with Interconnected Resources
  • 批准号:
    1562065
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2016
  • 负责人:
    Atilla Eryilmaz
  • 依托单位:
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