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Intelligent Reflecting Surface Empowered Transmission Techniques for Next-Generation Communication Systems

Intelligent Reflecting Surface Empowered Transmission Techniques for Next-Generation Communication Systems
下一代通信系统的智能反射面赋能传输技术
批准号:
RGPIN-2021-02636
负责人:
Zeng, Ming
金额:
$2.4万
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:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
下一代通信系统预计将支持爆炸性数据速率和超低延迟传输,并实现无处不在的连接。这种严格的要求对现有的蜂窝系统基础设施构成了严峻的挑战,探索新的和创新的传输技术,可以实现更高的频谱和能源效率,以满足这些要求是非常有趣的。在过去的几十年里,人们提出了各种先进的技术来促进收发器的信号传输和接收,但很少关注无线传播环境。事实上,无线传播环境长期以来一直被认为是收发器之间不可控和随机行为的实体。环境除了不可控之外,由于信号的衰减、衰落和干扰的引入,通常会对通信效率产生不利影响。近年来,为了提高通信效率或简化收发器结构,对利用传播环境随机性的新型通信模式的需求不断增加。在这方面,智能反射面(IRS)由于能够通过软件控制反射来重新配置传播环境而受到广泛关注。IRS是由许多低成本的被动反射元件组成的平面,每个元件都能诱导入射信号的幅度和相位变化,以实现细粒度的反射波束形成。本提案将研究新的irs授权传输技术,以实现我们提高下一代蜂窝系统的频谱和能源效率的长期目标,通过以下三个短期重点:1)为irs辅助系统开发新颖和低复杂性的资源分配和波束形成技术;2)研究IRS与其他下一代通信系统候选技术的集成,如毫米波、非正交多址和物理层安全;3)分析和量化各种传输损伤的影响,如不完善的信道状态信息、离散相移和随机相位噪声对irs辅助传输性能的影响,并开发新的信号处理技术来对抗这些损伤。拟议的研究计划将提供一个系统框架,以解决irs授权物理层传输中的各种设计问题,并进一步提高下一代蜂窝系统的性能。因此,研究结果有望引起学术界和工业界的关注,并导致研究合作。同时,拟议的研究项目将培养和装备具有通信理论和信号处理基本技能的高素质人才,为加拿大的技术和学术部门做出贡献。
英文摘要
Next-generation communication systems are expected to support explosive data rate and ultra-low latency transmissions and enable pervasive connectivity. Such stringent requirements pose serious challenges on the existing cellular systems infrastructure, and it is of great interest to explore novel and innovative transmission techniques that can achieve higher spectral- and energy-efficiencies to meet such demands. Over the past decades, various advanced techniques that facilitate signal transmission and reception at the transceivers have been proposed, however little attention has been paid to the wireless propagation environment. Indeed, the wireless propagation environment has long been perceived as an uncontrollable and randomly behaving entity between the transceivers. Aside from being uncontrollable, the environment usually has an adverse impact on the communication efficiency, owing to the signal attenuation, fading and interference introduced. Recently, there is increasing demand for novel communication paradigms that can exploit the randomness of the propagation environment, either to increase the communication efficiency or to simplify the transceiver architecture. In this regard, intelligent reflecting surface (IRS) has received great attention owing to its ability to reconfigure the propagation environment via software-controlled reflection. An IRS is a planar surface consisting of many low-cost passive reflecting elements, each able to induce an amplitude and phase change to the incident signal to achieve fine-grained reflective beamforming. This proposal will investigate novel IRS-empowered transmission techniques to realize our long-term goal of increasing the spectral- and energy-efficiencies of next-generation cellular systems, through the following three short-term thrusts: 1) developing novel and low-complexity resource allocation and beamforming techniques for IRS-assisted systems; 2) studying the integration of IRS with other candidate technologies for next-generation communication systems, such as millimeter wave, non-orthogonal multiple access, and physical layer security; and 3) analyzing and quantifying the effects of various transmission impairments, such as imperfect channel state information, discrete phase shifts, and random phase noise on the performance of IRS-assisted transmission and developing novel signal processing techniques to combat such impairments. The proposed research program will provide a systematic framework to address various design issues in IRS-empowered physical layer transmission, and further boost the performance of next-generation cellular systems. Therefore,  the research findings are anticipated to draw attention from both academia and industry, and lead to research collaboration. Meanwhile, the proposed research program will train and equip highly qualified personnel with essential skills in communication theory and signal processing to contribute to Canada's tech and academic sectors.
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Intelligent Reflecting Surface Empowered Transmission Techniques for Next-Generation Communication Systems
  • 批准号:
    RGPIN-2021-02636
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Zeng, Ming
  • 依托单位:
Intelligent Reflecting Surface Empowered Transmission Techniques for Next-Generation Communication Systems
  • 批准号:
    DGECR-2021-00034
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2021
  • 负责人:
    Zeng, Ming
  • 依托单位:
海外基金