CRII: CIF: Towards Self-Powered Heterogeneous Cellular Networks

CRII:CIF:迈向自供电异构蜂窝网络

基本信息

项目摘要

Driven by unprecedented increase in mobile data traffic, cellular networks are undergoing a huge paradigm shift from a coverage-centric homogeneous deployment of high-power cell towers (base stations) to a more organic capacity-driven deployment that additionally includes various types of low-power base stations, collectively called small cells. To maintain deployment flexibility and limit operational costs, it is highly desirable that these base stations have a capability to power themselves through self-contained energy harvesting modules. The inherent unreliability associated with energy harvesting, however, combined withthe irregular locations of the small cells, makes it challenging to quantify the reliability of such "self-powered" heterogeneous cellular networks. This project aims to lay the foundations of these networks through new analytical tools and metrics. Self-powered base stations with additional capability to self-backhaul will result in a "truly wireless" cellular network thereby enabling a variety of "drop and play" deployments. Further broader impact of this project will be through research dissemination, education, broadening participation of students, and industry collaboration. With the overarching goal of establishing fundamental performance limits for self-powered hetergeneous networks, this project adopts a cross-disciplinary approach involving tools from communications, information theory, and stochastic geometry. The first synergistic component of this project develops a new comprehensive model capable of capturing key characteristics of self-powered heterogeneous networks, such as the differences in the base station capabilities, irregularities in their deployments, and uncertainties in their energy levels. Powerful mathematical tools with foundations in stochastic geometry and point process theory lend tractability to this model, thereby allowing the formal analysis of new performance metrics unique to self-powered heterogeneous networks. For instance, due to the coupling of loads across base stations, when one base station drains out its energy, it may initiate a "cascade effect" taking the whole network down with it. The first suite of results characterizes this behavior and determines the regimes in which the network remains stable. Once stability is guaranteed, the second set of results focuses on the end-user performance in this new paradigm where the surviving base stations are not always guaranteed to have sufficient energy to serve all their load, thereby resulting in energy outages. Finally, these metrics are jointly analyzed with classical quality-of-experience metrics, such as downlink rate.
在移动数据流量空前增长的推动下,蜂窝网络正在经历一场巨大的范式转变,从以覆盖为中心的高功率蜂窝塔(基站)的同构部署,到更有机的容量驱动部署,其中还包括各种类型的低功率基站,统称为小蜂窝。为了保持部署的灵活性和限制运营成本,非常希望这些基站能够通过独立的能量收集模块为自己供电。然而,与能量收集相关的固有不可靠性,加上小细胞的不规则位置,使得量化这种“自供电”异构细胞网络的可靠性具有挑战性。该项目旨在通过新的分析工具和指标为这些网络奠定基础。具有额外自回程能力的自供电基站将形成“真正的无线”蜂窝网络,从而实现各种“即插即用”部署。此计划将透过研究传播、教育、扩大学生参与及业界合作,进一步扩大影响。以建立自供电异构网络的基本性能限制为总体目标,该项目采用跨学科方法,涉及通信、信息论和随机几何工具。该项目的第一个协同组成部分开发了一个新的综合模型,能够捕捉自供电异构网络的关键特征,例如基站能力的差异、部署的不规则性以及能量水平的不确定性。具有随机几何和点过程理论基础的强大数学工具为该模型提供了可追溯性,从而允许对自供电异构网络特有的新性能指标进行形式化分析。例如,由于基站之间负载的耦合,当一个基站耗尽其能量时,可能会引发“级联效应”,使整个网络随之瘫痪。第一组结果描述了这种行为的特征,并决定了网络保持稳定的机制。一旦稳定性得到保证,第二组结果集中在这种新范例中的最终用户性能上,在这种范例中,幸存的基站并不总是保证有足够的能量来服务其所有负载,从而导致能源中断。最后,将这些指标与经典的体验质量指标(如下行速率)进行联合分析。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Joint Energy and SINR Coverage in Spatially Clustered RF-Powered IoT Network
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Harpreet Dhillon其他文献

Harpreet Dhillon的其他文献

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{{ truncateString('Harpreet Dhillon', 18)}}的其他基金

Collaborative Research: CNS Core: Medium: Localization in Millimeter Wave Cellular Networks: Fundamentals, Algorithms, and Measurement-inspired Simulator
合作研究: CNS 核心:媒介:毫米波蜂窝网络的本地化:基础知识、算法和测量启发的模拟器
  • 批准号:
    2107276
  • 财政年份:
    2021
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Continuing Grant
Collaborative Research: SWIFT: SMALL: Enabling Seamless Coexistence between Passive and Active Networks using Reconfigurable Reflecting Surfaces
合作研究:SWIFT:SMALL:使用可重构反射表面实现无源和有源网络之间的无缝共存
  • 批准号:
    2030215
  • 财政年份:
    2020
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: DroTerNet: Coexistence between Drone and Terrestrial Wireless Networks
SpecEES:协作研究:DroTerNet:无人机与地面无线网络的共存
  • 批准号:
    1923807
  • 财政年份:
    2019
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant
NeTS: Small: Fundamentals of Internet-of-Things with Energy Harvesting and Edge Intelligence
NetS:小型:具有能量收集和边缘智能的物联网基础知识
  • 批准号:
    1814477
  • 财政年份:
    2018
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant
CPS: Small: Statistical Performance Analysis and Resource Management for Cyber-Physical Internet of Things Systems
CPS:小型:信息物理物联网系统的统计性能分析和资源管理
  • 批准号:
    1739642
  • 财政年份:
    2018
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: Stochastic Geometry Meets Channel Measurements: Comprehensive Modeling, Analysis,Fundamental Design-tradeoffs in Real-world Massive-MIMO Networks
SpecEES:协作研究:随机几何满足信道测量:现实世界大规模 MIMO 网络中的综合建模、分析、基本设计权衡
  • 批准号:
    1731711
  • 财政年份:
    2017
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant
NeTS: Small: Joint Backhaul and Radio Access Design for Heterogeneous Wireless Networks
NeTS:小型:异构无线网络的联合回程和无线接入设计
  • 批准号:
    1617896
  • 财政年份:
    2016
  • 资助金额:
    $ 17.49万
  • 项目类别:
    Standard Grant

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  • 批准号:
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CIF: EAGER: Towards an Information Theory of Attention
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CRII: CIF: Towards Linear-Time Computation of Structured Data Representations
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