Modeling and Design for the Lower Layers of 4th Generation Indoor/Outdoor Wireless Networks

第四代室内/室外无线网络底层的建模和设计

基本信息

  • 批准号:
    9979452
  • 负责人:
  • 金额:
    $ 69.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1999
  • 资助国家:
    美国
  • 起止时间:
    1999-09-01 至 2003-08-31
  • 项目状态:
    已结题

项目摘要

While current wireless communications systems offer acceptable performance for transmission of voice and simple digital data such as e-mail and paging services, they cannot adequately support the higher data rates required for example by graphics-rich multimedia applications or video conferencing. This throughput limitation must be overcome in order to meet the growing desire for instant information accessibility regardless of one's location around the world, sometimes referred to as "global seamless roaming". Until recently, it was believed that the primary obstacle to higher data rates in wireless systems was due to multipath -- the scattering of a signal along many different paths due to objects between the transmitter and receiver. However, remarkable new research suggests just the opposite; in particular, it has been demonstrated that if multiple antennas are used on both ends of a multipath-rich communications link, and appropriate digital "space-time" codes are employed, then dramatic increases in throughput can be achieved. Intuitively, this is because each propagation path offers a separate ``independent'' channel over which data can be transmitted. To take advantage of these spatially and temporally diverse channels, antenna arrays are required on both the receive and transmit ends of the link. This obviously leads to an increase in system complexity, and raises questions concerning what type of communication protocols must be used when multiple Tx and Rx (MTRx) antennas are employed. These are issues addressed by this research project.The investigators are conducting a thorough assessment of the design, implementation, testing, and performance analysis of MTRx wireless communications systems. Specific tasks include the following:(1)Experimental space-time channel characterization and modeling for indoor and outdoor wireless channels -- Design and implementation of a flexible, low-cost MIMO data acquisition system capable of efficiently measuring spatial and temporal channel characteristics in various settings as well as for different antenna directivity and polarization properties; Development of statistical models that provide an accurate description of the MIMO channel space-time characteristics based upon fits to the observed data; Utilization of the model in assessing the validity of the assumptions used in the development of MTRx algorithms, and the degradation in performance of the algorithms when model mismatch occurs.(2)Analysis of how space-time algorithms based on idealized assumptions fare in real multipath environments -- An investigation of how imprecisely known channels degrade performance, how accurately the channel must be known in order to obtain acceptably error-free data transfer; A study of how frequency selective channels degrade the performance of algorithms that assume flat fading; A determination of the effects of channel non-stationarities such as Doppler on space-time algorithm performance and on how often the channel be updated for reasonable performance; Analysis of the effect of co-channel interference and models for taking it into account.(3)The development of new, practical strategies for space-time processing that are robust to realistic channel effects and geared to multiple user access -- Investigation of space-time error control coding strategies for real channels, with a focus on 3-dimensional interleaver design, space-time ARQ and hybrid-ARQ, and space-time code-combining; Implementation of various multiple access protocols using MTRx wireless systems, including a study of space, time, frequency, and code division multiple access, as well as packet-based approaches; Development of appropriate MIMO channel estimators to be used with the space-time processing algorithms requiring reliable channel state information.
虽然当前的无线通信系统为语音和简单数字数据(例如电子邮件和寻呼服务)的传输提供了可接受的性能,但是它们不能充分地支持例如图形丰富的多媒体应用或视频会议所需的更高数据速率。必须克服这种吞吐量限制,以满足人们日益增长的即时获取信息的愿望,而不论一个人在世界各地的位置,有时被称为“全球无缝漫游”。直到最近,人们还认为无线系统中实现更高数据速率的主要障碍是由于多径--由于发射机和接收机之间的物体,信号沿沿着许多不同路径的散射。然而,引人注目的新研究表明恰恰相反;特别是,已经证明,如果在多径丰富的通信链路的两端使用多个天线,并采用适当的数字“空时”码,则可以实现吞吐量的急剧增加。直观地说,这是因为每个传播路径都提供了一个单独的“独立”信道,数据可以通过该信道传输。为了利用这些空间和时间上不同的信道,在链路的接收端和发送端都需要天线阵列。这显然导致系统复杂性的增加,并且提出了关于当采用多个Tx和Rx(MTRx)天线时必须使用什么类型的通信协议的问题。这些都是本研究项目所要解决的问题。研究人员正在对MTRx无线通信系统的设计、实施、测试和性能分析进行全面评估。具体任务包括:(1)室内和室外无线信道的实验性空时信道表征和建模--设计和实现一种灵活、低成本的MIMO数据采集系统,该系统能够有效地测量各种设置以及不同天线方向性和极化特性下的空间和时间信道特性;开发统计模型,该模型基于对观测数据的拟合提供MIMO信道空时特性的准确描述;利用该模型评估MTRx算法开发中使用的假设的有效性,以及模型不匹配时算法性能的下降。(2)分析基于理想化假设的空时算法在真实的多径环境中的性能--研究不精确的信道如何降低性能,为了获得可接受的无差错数据传输,信道必须精确到什么程度,研究频率选择性信道如何降低假设平坦衰落的算法的性能;确定信道非平稳性(例如多普勒)对空时算法性能的影响以及更新信道以获得合理性能的频率;分析同频干扰的影响以及将其考虑在内的模型。(3)发展新的、实用的空时处理策略,使其对实际信道的影响具有鲁棒性并适合于多用户接入--研究真实的信道的空时差错控制编码策略,重点是三维交织器的设计、空时ARQ和混合ARQ以及空时码合并;使用MTRx无线系统实现各种多址协议,包括研究空间、时间、频率和码分多址,以及基于分组的方法;开发适当的MIMO信道估计器,用于需要可靠信道状态信息的空时处理算法。

项目成果

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Arnold Swindlehurst其他文献

Arnold Swindlehurst的其他文献

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{{ truncateString('Arnold Swindlehurst', 18)}}的其他基金

Collaborative Research: U.S.-Ireland R&D Partnership: CIF: AF: Small: Enabling Beyond-5G Wireless Access Networks with Robust and Scalable Cell-Free Massive MIMO
合作研究:美国-爱尔兰 R
  • 批准号:
    2322191
  • 财政年份:
    2023
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
Collaborative Research:CPS:Medium:SMAC-FIRE: Closed-Loop Sensing, Modeling and Communications for WildFIRE
合作研究:CPS:中:SMAC-FIRE:野火的闭环传感、建模和通信
  • 批准号:
    2209695
  • 财政年份:
    2022
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF-AoF: CIF: AF: Small: Energy-Efficient THz Communications Across Massive Dimensions
合作研究:NSF-AoF:CIF:AF:小型:大尺寸的节能太赫兹通信
  • 批准号:
    2225575
  • 财政年份:
    2022
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Exploiting New Degrees-of-Freedom in Wireless Networks with Reprogrammable Intelligent Metagratings
合作研究:CNS 核心:媒介:利用可重新编程的智能元光栅在无线网络中开发新的自由度
  • 批准号:
    2107182
  • 财政年份:
    2021
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
CIF: Small: Exploiting Interference via Data-Dependent Precoding
CIF:小:通过数据相关预编码利用干扰
  • 批准号:
    2008724
  • 财政年份:
    2020
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
Energy Efficient Millimeter Wave Massive MIMO Wireless Communications
高能效毫米波大规模 MIMO 无线通信
  • 批准号:
    1824565
  • 财政年份:
    2018
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
CIF:Medium:Collaborative Research:Low Resolution Sampling with Generalized Thresholds
CIF:中:协作研究:具有通用阈值的低分辨率采样
  • 批准号:
    1703635
  • 财政年份:
    2017
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Continuing Grant
EARS: Millimeter Wave Massive MIMO: A New Frontier for Enhanced Radio Access
EARS:毫米波大规模 MIMO:增强无线电接入的新领域
  • 批准号:
    1547155
  • 财政年份:
    2015
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
CIF: Small: Jamming in Wireless Networks: Offensive Strategies and Cooperation
CIF:小:无线网络干扰:进攻策略与合作
  • 批准号:
    1117983
  • 财政年份:
    2011
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant
CIF:Small:Physical Layer Optimization for Cognitive Sensor Networks
CIF:小:认知传感器网络的物理层优化
  • 批准号:
    0916073
  • 财政年份:
    2009
  • 资助金额:
    $ 69.76万
  • 项目类别:
    Standard Grant

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