EARS: Collaborative Research: Laying the Foundations of Social Network-Aware Cellular Device-to-Device Communications

EARS:协作研究:为社交网络感知的蜂窝设备到设备通信奠定基础

基本信息

  • 批准号:
    1443914
  • 负责人:
  • 金额:
    $ 22.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-01-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

Providing ubiquitous access to the rapidly expanding suite of mobile social applications has strained modern-day wireless networks, motivating the need for new technologies to optimize the usage of the scarce radio resources. Device-to-device (D2D) communications between mobile devices over the reliable and pervasive cellular network infrastructure constitutes one of the most promising technologies for further accelerating the penetration of mobile social services. As compared to conventional D2D over short-range and limited-capacity technologies such as Bluetooth, D2D over cellular provides longer transmission ranges, improved spectrum sharing, higher capacities, guaranteed quality-of-service, and a broader range of applications and services. Owing to its promising potential, D2D is now viewed by both academia and standardization bodies as a cornerstone technology in emerging 5th generation (5G) wireless systems.Leveraging cellular D2D for mobile social applications requires addressing a variety of technical challenges that are characterized by a strong interplay between social factors such as content correlation, and wireless features such as network-controlled resource allocation and interference management. This project addresses these challenges by introducing a novel network optimization framework, cognizant of both social and wireless realms, suitable for ensuring the delivery of high-speed, high-quality social networking services over cellular D2D communications. Specifically, new D2D-oriented socio-technological metrics and novel semi-distributed resource allocation and content delivery algorithms will be developed to optimize the quality-of-service of social network-aware D2D systems. In addition, hierarchical resource allocation tools will be introduced to optimize the distribution of social content over D2D while maximizing the spread of data over multiple D2D connections. The results will be evaluated and deployed on two platforms: a large-scale testbed based on open-source Android devices for validating the approach and exploring new social metrics, and a software defined radio platform to analyze the performance of the proposed schemes within a realistic cellular setting.
提供对快速扩展的移动社交应用套件的无处不在的访问已经给现代无线网络带来了压力,促使对新技术的需求,以优化稀缺的无线电资源的使用。移动设备之间通过可靠和无处不在的蜂窝网络基础设施进行的设备到设备(D2D)通信构成了进一步加快移动社交服务渗透的最有前途的技术之一。与蓝牙等短距离和有限容量的传统D2D技术相比,蜂窝D2D提供了更长的传输距离、更好的频谱共享、更高的容量、有保证的服务质量以及更广泛的应用和服务。由于其巨大的潜力,D2D现在被学术界和标准化机构视为新兴的第5代(5G)无线系统的基石技术。将蜂窝D2D用于移动社交应用需要解决各种技术挑战,这些挑战的特点是内容相关性等社会因素与网络控制的资源分配和干扰管理等无线功能之间的强烈相互作用。该项目通过引入一种新的网络优化框架来应对这些挑战,该框架同时考虑了社交领域和无线领域,适用于确保通过蜂窝D2D通信提供高速、高质量的社交网络服务。具体地说,将开发新的面向D2D的社会技术指标和新颖的半分布式资源分配和内容交付算法,以优化社交网络感知的D2D系统的服务质量。此外,将引入分层资源分配工具,以优化D2D上的社交内容分发,同时最大限度地扩大数据在多个D2D连接上的传播。结果将在两个平台上进行评估和部署:一个是基于开源Android设备的大规模试验床,用于验证方法和探索新的社交指标;另一个是软件定义的无线电平台,用于在现实的蜂窝环境中分析建议方案的性能。

项目成果

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Walid Saad其他文献

Joint User Grouping, Version Selection and Bandwidth Allocation for Live Video Multicasting
直播视频组播的联合用户分组、版本选择和带宽分配
  • DOI:
    10.1109/tcomm.2021.3115480
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    8.3
  • 作者:
    Zhilong Zhang;Minyin Zeng;Danpu Liu;Walid Saad;Shuguang Cui;H. Vincent Poor
  • 通讯作者:
    H. Vincent Poor
Sensing Aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
宽带毫米波 MIMO 系统中的传感辅助信道估计
Computer Vision-Based Localization With Visible Light Communications
基于计算机视觉的可见光通信定位
  • DOI:
    10.1109/twc.2021.3109146
  • 发表时间:
    2022-03
  • 期刊:
  • 影响因子:
    10.4
  • 作者:
    Lin Bai;Yang Yang;Mingzhe Chen;Chunyan Feng;Caili Guo;Walid Saad;Shuguang Cui
  • 通讯作者:
    Shuguang Cui
Investigation of genes that may contribute to disease tropism in Leishmania species
研究可能有助于利什曼原虫物种向病性的基因
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Walid Saad
  • 通讯作者:
    Walid Saad
Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence
语义通信的导频优化和信道估​​计方案:边缘智能框架

Walid Saad的其他文献

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{{ truncateString('Walid Saad', 18)}}的其他基金

Collaborative Research: NeTS: JUNO3: Towards an Internet of Federated Digital Twins (IoFDT) for Society 5.0: Fundamentals and Experimentation
合作研究:NetS:JUNO3:迈向社会 5.0 的联合数字孪生 (IoFDT) 互联网:基础知识和实验
  • 批准号:
    2210254
  • 财政年份:
    2022
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
NSF-AoF: Vision-Guided Wireless Communication Systems
NSF-AoF:视觉引导无线通信系统
  • 批准号:
    2225511
  • 财政年份:
    2022
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Hierarchical Federated Learning Over Wireless Edge Networks: Performance Analysis and Optimization
协作研究:CNS 核心:小型:无线边缘网络的分层联邦学习:性能分析和优化
  • 批准号:
    2114267
  • 财政年份:
    2021
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
SII Planning: ARIES: Center for Agile, RelIablE, Scalable Spectrum
SII 规划:ARIES:敏捷、可靠、可扩展频谱中心
  • 批准号:
    2037870
  • 财政年份:
    2020
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Modernizing Cities via Smart Garden Alleys with Application in Makassar City
EAGER:合作研究:通过智能花园巷实现城市现代化并在望加锡市应用
  • 批准号:
    2025377
  • 财政年份:
    2020
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Extended Reality over Wireless Cellular Networks: Quality-of-Experience Analysis and Optimization
合作研究:CNS 核心:小型:无线蜂窝网络上的扩展现实:体验质量分析和优化
  • 批准号:
    2007635
  • 财政年份:
    2020
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
CNS Core: Small: Collaborative: Towards Surge-Resilient Hybrid RF/VLC Networks
CNS 核心:小型:协作:迈向抗浪涌混合 RF/VLC 网络
  • 批准号:
    1909372
  • 财政年份:
    2019
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
ICE-T: RC: Towards Highly Reliable Low Latency Broadband (HRLLBB) Communications over Wireless Heterogeneous Networks
ICE-T:RC:通过无线异构网络实现高度可靠的低延迟宽带 (HRLLBB) 通信
  • 批准号:
    1836802
  • 财政年份:
    2018
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
CRISP Type 1/Collaborative Research: A Human-Centered Computational Framework for Urban and Community Design of Resilient Coastal Cities
CRISP 类型 1/协作研究:以人为本的弹性沿海城市城市和社区设计计算框架
  • 批准号:
    1638283
  • 财政年份:
    2017
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant
BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities
BIGDATA:协作研究:IA:用于智能、可持续和互联社区优化规划的大数据分析
  • 批准号:
    1633363
  • 财政年份:
    2016
  • 资助金额:
    $ 22.75万
  • 项目类别:
    Standard Grant

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  • 批准号:
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Collaborative Research: EARS: Crowd-based Spectrum Monitoring and Enforcement
合作研究:EARS:基于人群的频谱监控和执行
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    2017
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    $ 22.75万
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EARS: Collaborative Research: Automated Enforcement in Spectrum Sharing: Technical Challenges and Policy Considerations
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  • 批准号:
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EARS: Collaborative Research: Automated Enforcement in Spectrum Sharing: Technical Challenges and Policy Considerations
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EARS:协作研究:认知网络的全双工
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EARS: Collaborative Research: Spectrum Sensing for Coexistence of Active and Passive Radio Services
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