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Enabling Techniques for Future Wireless Communications

Enabling Techniques for Future Wireless Communications
未来无线通信的支持技术
批准号:
RGPIN-2017-04190
负责人:
Yongacoglu, Abbas
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
我们建议继续我们正在进行的研究活动,在未来的无线通信系统的物理层领域。我们将调查,设计,分析和评估使能技术,可以有助于未来无线系统的发展。我们从三个方向来看待我们的研究工作。* 我们的第一个研究课题专注于由宏小区和小小区组成的异构网络(HetNet)的建模和性能评估。我们正在开发精确的用户和基站分布模型,考虑到传播以及用户行为相关的方面。这些模型将使我们能够计算不同网络配置在不同干扰、信道条件、业务密度等情况下的容量,并设计实用高效的传输/接收技术和资源分配策略。第二个主题涉及无人机基站(BS)在蜂窝网络中的作用。无人机是低空无人驾驶飞行器(UAV)。无人机BS可以服务任何大小的移动的小区,并且因此每当在空间和时间上存在过度需求时,特别是当这种过度需求以相当难以预测的方式发生时,帮助BS的地面网络提供高数据速率覆盖。通过无人机基站的适当放置和联网,我们将提高系统的容量,吞吐量,可靠性和功耗。第三方向处理与全双工(FD)系统相关的各种问题。直到最近,以相同的时间间隔和频带接收和发送信号是不可能的。天线技术和信号处理技术的最新发展使FD成为可能。我们正在研究不同的结构,即中继,网络编码,中继选择,FD可以是有益的,我们正在开发分析工具,他们的系统性能评估。
英文摘要
We propose to continue our ongoing research activities in the physical layer area of future wireless communications systems. We will investigate, design, analyze and evaluate enabling techniques that can contribute to the evolution of future wireless systems. We view our research efforts in 3 directions. ***Our first research topic focuses on modeling and performance evaluation of heterogeneous networks (HetNets) made up of macro and small cells. We are working on developing accurate user and base station distribution models that take into account propagation as well as user behavior related aspects. These models will allow us to calculate the capacity of different network configurations under varying interference, channel conditions, traffic density, etc. and to design practical and efficient transmission/reception techniques and resource allocation strategies.***The second topic is concerned with the role of drone base stations (BSs) in cellular networks. Drones are low altitude unmanned aerial vehicles (UAV). Drone-BSs can serve mobile cells of any size and thus help the ground network of BSs in providing high data rate coverage whenever there is an excessive need in space and time, especially when this excessive demand occurs in a rather difficult-to-predict manner. By proper placement and networking of the drone base stations we will improve capacity, throughput, reliability and power consumption of the system.***The third direction deals with various issues related with full-duplex (FD) systems. Until recently receiving and transmitting the signal at the same time interval and frequency band was not possible. Recent developments on antenna technology and signal processing techniques now make FD feasible. We are investigating different structures, i.e. relaying, network coding, relay selection, where FD can be beneficial and we are developing analytical tools for their system performance evaluations.
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Enabling Techniques for Future Wireless Communications
  • 批准号:
    RGPIN-2017-04190
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    Yongacoglu, Abbas
  • 依托单位:
Enabling Techniques for Future Wireless Communications
  • 批准号:
    RGPIN-2017-04190
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2020
  • 负责人:
    Yongacoglu, Abbas
  • 依托单位:
Enabling Techniques for Future Wireless Communications
  • 批准号:
    RGPIN-2017-04190
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2018
  • 负责人:
    Yongacoglu, Abbas
  • 依托单位:
Enabling Techniques for Future Wireless Communications
  • 批准号:
    RGPIN-2017-04190
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2017
  • 负责人:
    Yongacoglu, Abbas
  • 依托单位:
国内基金
海外基金
EstimatingLarge Demand Systems with MachineLearning Techniques
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    IoshuaAlex
  • 依托单位: