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High capacity future cellular data networks

High capacity future cellular data networks
高容量未来蜂窝数据网络
批准号:
446247-2012
负责人:
Sousa, Elvino
金额:
$5.06万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
随着诸如视频流之类的更新服务的引入,对宽带通信服务的需求多年来已经增加。随着这些新服务的推出,互联网接入用户的使用习惯发生了变化。通常,通过固定网络(DSL或CATV)访问的宽带服务的用户“消耗”例如50千兆字节/月。另一方面,用于移动的数据服务的典型数据计划是1千兆字节/月。固定和移动的网络的这些数据量一直在不断增加,但是该比率大约为50,并且在一段时间内一直很大。由于这种限制,移动的数据网络上的用户体验将与固定网络中的体验非常不同。随着技术的进步,我们预计绝对数据速率将增加,但随着目前蜂窝网络的发展,该比率将保持较高,无线网络满足用户期望的能力将保持较低。结果,移动的数据服务将被视为更有限的服务,用作最后手段,并且移动的接入的巨大潜力将不会实现。 该提议的目标是通过设计用于蜂窝网络设计的新架构/技术来缩小固定和移动的因特网接入的传输能力之间的上述差距。增加这些网络的容量有两种主要方式:1)增加每个基站的频谱效率,以及2)部署更多(更密集)的基站或小小区,部署不同的架构(例如中继),并在不同技术之间更有效地管理频谱块。本建议侧重于第二种方法。然而,为了成功地进行这样的部署,我们需要自动安装和配置接入点(AP)和中继的方法。 这些方法需要新的方法来研究和管理由于AP的随机定位、不同的功率电平、不同的天线能力、业务需求的变化或热点业务特性而导致的干扰。这些部署应该由运营商和用户共同推动,以使无线基础设施的增长是有机的。然而,频谱由网络运营商拥有,并且运营商在自配置过程之后在大小小区的组合中运行用于统一频谱管理的相关联的算法。
英文摘要
Demand for broadband communication services has increased over the years as newer services such a video streaming are introduced. The usage habits of Internet access users have changed as these new services have been introduced. Typically users of broadband services accessed over a fixed network (DSL or CATV) "consume" say 50 Gbytes/month. On the other hand a typical data plan for mobile data services is 1 GByte/month. These data amounts for the fixed and mobile network have been constantly increasing, but the ratio is approximately 50 and has been large for some time. With this limitation the user experience on a mobile data network will be very different from the experience in a fixed network. With advances in technology we expect the absolute data rates to increase but with the current approaches to cellular networks the ratio will remain high and the capability of wireless networks to meet user expectations will remain low. As a result the mobile data service will be viewed as a more limited service, for use as a last resort, and the great potential for mobile access will not be realized. The goal of this proposal is to narrow the above gap between transmission capabilities for fixed and mobile Internet access by devising new architectures/techniques for the design of cellular networks. There are two main ways to increase the capacity of these networks: 1) increase the spectral efficiency per base station, and 2) deploy more (denser) base stations, or small cells, deploy different architectures such as relays and manage more efficiently spectrum blocks among different technologies. This proposal concentrates on the 2nd approach. However in order to undertake such deployments successfully we need methods to automatically install and configure access points (APs) and relays. These methods entail novel approaches to the study and management of interference as a result of random positioning of APs, differing power levels, differing antenna capabilities, variations in traffic demand, or hot spot traffic characteristics. These deployments should be driven both by operators and users in a manner that the growth in wireless infrastructure is organic. However the spectrum is owned by the network operator and the operator runs the associated algorithms for a unified spectrum management, in a combination of large and small cells, after a self-configuration procedure.
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Cloud Assisted Two-Tier Wireless Networks
  • 批准号:
    RGPIN-2021-04298
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Sousa, Elvino
  • 依托单位:
Cloud Assisted Two-Tier Wireless Networks
  • 批准号:
    RGPIN-2021-04298
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Sousa, Elvino
  • 依托单位:
Two-Tier 5G Wireless Networks
  • 批准号:
    500564-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $4.7万
  • 财政年份:
    2018
  • 负责人:
    Sousa, Elvino
  • 依托单位:
Autonomous deployment, optimization, and self-healing in beyond 4G wireless networks
  • 批准号:
    106051-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2017
  • 负责人:
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  • 依托单位:
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