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Joint Source-Channel Coding Theory with Applications to Wireless Communication Networks

Joint Source-Channel Coding Theory with Applications to Wireless Communication Networks
联合源信道编码理论及其在无线通信网络中的应用
批准号:
RGPIN-2014-06083
负责人:
Alajaji, Fady
金额:
$3.06万
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:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
In this application, we seek funding to continue our research program in information theory and wireless communications. The research program concerns the development of advanced joint source-channel coding (JSCC) technologies for improving the reliability, connectivity and speed of wireless communication networks and meeting the rapidly growing demand for seamless and ubiquitous wireless multimedia services. JSCC provides the right approach to construct the best codes for the efficient transmission of data sources over noisy channels, particularly under stringent delay and complexity constraints, and for multi-user networks where Shannon's principle for the separation of data compression and channel coding fails to hold in general. Building on our experience and extensive achievements in JSCC, we will focus on the following three interconnected research thrust areas: (1) The investigation of the fundamental information-theoretic limits, namely capacity and JSCC error exponent, for coding and transmitting information over multi-user networks and recovering it with negligible loss; (2) The development of sophisticated but analytically tractable discrete channel models to judiciously represent the behavior of wireless (correlated fading) networks used with multiple antennas and soft-decision demodulation; (3) The design, construction and analysis of powerful low-complexity JSCC techniques for wireless networks, with applications to wireless multimedia communications and energy-efficient sensor networks. The proposed research will feature the rigorous training of eight highly qualified personnel per year (3 doctoral, 2 Masters and 2 undergraduate students, as well as one postdoctoral fellow), immersing them in timely challenging topics in information theory and wireless communications and resulting in innovative high-quality publications. The results of this research program are anticipated to provide a deeper understanding of both the fundamental principles and the practical aspects of JSCC, thus positively contributing to a sustainable improvement of wireless communications and multimedia technologies.
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Source-Channel Coding, Data Privacy and Contagion Mitigation in Communication and Information Networks
  • 批准号:
    RGPIN-2019-04471
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Alajaji, Fady
  • 依托单位:
Source-Channel Coding, Data Privacy and Contagion Mitigation in Communication and Information Networks
  • 批准号:
    RGPIN-2019-04471
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Alajaji, Fady
  • 依托单位:
Source-Channel Coding, Data Privacy and Contagion Mitigation in Communication and Information Networks
  • 批准号:
    RGPIN-2019-04471
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Alajaji, Fady
  • 依托单位:
Source-Channel Coding, Data Privacy and Contagion Mitigation in Communication and Information Networks
  • 批准号:
    RGPIN-2019-04471
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Alajaji, Fady
  • 依托单位:
国内基金
海外基金
数学之源书(Source book in mathematics)的翻译与出版
  • 批准号:
    11826405
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    3.0万元
  • 批准年份:
    2018
  • 负责人:
    程晓亮
  • 依托单位: