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.

随着智能设备的普及和基于云的技术的发展，新的无线服务正在快速扩展，以满足用户和社会不断增长的需求，预计无线网络上的大量数据将服务于增强的移动宽带，由物联网和关键任务应用程序支持的智慧城市。在需求和严格要求的推动下，无线蜂窝网络作为被动的信息管道已不能满足需求，需要进行无线通信技术的革命，以实现随时随地以超高速向可能数百万设备传播海量数据，并且效率高、成本低。 拟议的研究计划旨在通过推广以内容为中心的通信范式，结合先进的技术，将未来的无线通信网络转变为主动的资源提供者，以实现广大用户和设备之间的超高速海量内容共享和访问。网络边缘的传输技术和存储机会，以消除干扰并打破带宽限制。我们的目标是采用数据传输和存储管理的集成方法来优化系统运行。我们将解决关键挑战，包括大规模 MIMO 大型系统的高效多播波束成形、用于减少负载和提高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。该研究计划的成果预计将增进我们对网络存储资源的内容分发能力的基本理解。它还将在实用传输技术、存储和缓存策略及其无缝集成方面产生重大创新，以通过无线网络实现高效内容分发。它们预计将对技术创新产生持续影响，并为加拿大带来重大的科学、经济和社会效益。