Integrated transmission and resource optimization for massive content distribution in future wireless networks

未来无线网络中海量内容分发的综合传输和资源优化

• 批准号: RGPIN-2019-05715
• 负责人: Dong, Min
• 金额: $ 4.01万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752577
• 关键词: Integrated; transmission; resource; optimization; massive

With the proliferation of smart devices and the development of cloud-based technologies, new wireless services are fast expanding to meet the growing demands from users and our society, with massive amounts of data that are anticipated over the wireless networks to serve enhanced mobile broadband, smart cities enabled by Internet-of-Things, and mission-critical applications. Driven by the needs and stringent requirements, wireless cellular networks can no longer meet the demand as a passive information pipeline, and a revolution of wireless communication technologies is needed to enable massive data dissemination at ultra-high speeds to possibly millions of devices anywhere, anytime, and at high efficiency and low cost. The proposed research program aims at the long-term goal of transforming future wireless communication networks into a proactive resource provider to enable ultra-high-speed massive content sharing and access among vast users and devices, by promoting a content-centric communication paradigm combining advanced transmission technologies and storage opportunities at the network edge to eliminate interference and break the bandwidth limitation. We aim at an integrated approach in data transmission and storage management to optimize the system operation. We will tackle key challenges, including highly-efficient multicast beamforming for large-scale systems with massive MIMO, edge caching management for load reduction and delivery quality, and joint caching, cooperation, and multicast beamforming in wireless cellular networks. The outcome of this research program is expected to advance our fundamental understanding of the content distribution capacity with network storage resources. It will also generate significant innovations in practical transmission techniques, storage and caching strategies, and their seamless integration for efficient content distribution over wireless networks. They are expected to have sustained impact on the technological innovation, and bring significant scientific, economic, and social benefits to Canada.

随着智能设备的激增和基于云的技术的发展，新的无线服务正在快速扩展以满足用户和我们社会不断增长的需求，预计通过无线网络提供的大量数据将服务于增强的移动的宽带、物联网支持的智能城市和关键任务应用。在需求和严格要求的驱动下，无线蜂窝网络作为被动的信息管道已经不能满足需求，需要无线通信技术的革命，以使大规模数据能够以超高速随时随地高效低成本地分发到可能数以百万计的设备。 拟议的研究计划旨在将未来的无线通信网络转变为主动资源提供商的长期目标，通过促进以内容为中心的通信模式，结合先进的传输技术和网络边缘的存储机会，以消除干扰并打破带宽限制，从而在大量用户和设备之间实现超高速海量内容共享和访问。我们的目标是在数据传输和存储管理的综合方法，以优化系统的运行。我们将解决关键挑战，包括具有大规模MIMO的大型系统的高效多播波束成形，用于降低负载和交付质量的边缘缓存管理，以及无线蜂窝网络中的联合缓存，协作和多播波束成形。这项研究计划的结果，预计将推进我们的基本理解的内容分发能力与网络存储资源。它还将在实际传输技术、存储和缓存策略以及它们的无缝集成方面产生重大创新，以实现无线网络上的高效内容分发。这些项目有望对加拿大的技术创新产生持续的影响，并为加拿大带来重大的科学、经济和社会效益。