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

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，预计无线网络将产生大量数据，以服务于增强型移动宽带、物联网支持的智慧城市和关键任务应用。在需求和严格要求的驱动下，无线蜂窝网络已经不能满足作为被动信息管道的需求，需要一场无线通信技术的革命，使海量数据能够以超高速、随时随地、高效率、低成本地传播到可能的数百万台设备。该研究计划的长期目标是将未来无线通信网络转变为一个主动的资源提供商，通过促进以内容为中心的通信范式，结合先进的传输技术和网络边缘的存储机会，消除干扰并打破带宽限制，从而在广大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集成方法，以优化系统的运行。我们将解决关键挑战，包括大规模MIMO大规模系统的高效组播波束形成，用于减少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、合作和组播波束形成。这项研究计划的结果有望促进我们对网络存储资源的内容分发能力的基本理解。它还将在实际传输技术、存储和缓存策略以及它们在无线网络上的高效内容分发的无缝集成方面产生重大创新。他们有望对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。

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.