Adaptive Intelligent Wireless Networking with Advanced Communication and Machine Learning Techniques

具有先进通信和机器学习技术的自适应智能无线网络

• 批准号: 571576-2021
• 负责人: Liang, BenB
• 金额: $ 8.64万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 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=751707
• 关键词: Adaptive; Intelligent; Wireless; Networking; Advanced

With the recent arrival of 5G wireless standardization and the emerging visions of beyond-5G (B5G) technologies, we are witnessing dramatic developments in wireless services and applications. New technologies and application environments, such as industrial Internet of Things, augmented reality, mobile cloud computing, and mobile data analytics, are creating service demands that stress the capacity and flexibility of the wireless infrastructure. Optimal operation of future wireless systems requires built-in intelligence that adapts to the constantly changing interference patterns, capacity demand, latency constraints, security requirements, and network scale. In collaboration with Ericsson Canada, we propose a new research partnership to develop the needed theories and practical designs of adaptive intelligent wireless networks. Our long-term objective is to understand how the new complexity and dynamics in next-generation wireless systems impact their operation and user experience, and how to integrate artificial intelligence and autonomous adaptation into these systems to manage their complexity and dynamics. In the shorter term of this project, we focus on developing advanced communication and machine learning techniques for 5G and B5G networks.The proposed partnership will enable a unique collaborative project that brings together world-leading engineering expertise from Ericsson and substantial research capacity from the University of Toronto. We will tackle a range of challenging open problems in designing future adaptive intelligent wireless networks. This project will benefit Ericsson Canada and its technology and business partners in Canada, improving their innovation portfolio, system design, customer base, and profitability. It will also contribute to our fundamental understanding on how to build efficient and robust communication systems in Canada.

随着 5G 无线标准化的到来以及超 5G (B5G) 技术的不断涌现，我们正在见证无线服务和应用的巨大发展。工业物联网、增强现实、移动云计算、移动数据分析等新技术和应用环境正在创造对无线基础设施的容量和灵活性提出压力的服务需求。未来无线系统的最佳运行需要内置智能，以适应不断变化的干扰模式、容量需求、延迟限制、安全要求和网络规模。我们与加拿大爱立信合作，提出了一项新的研究合作伙伴关系，以开发自适应智能无线网络所需的理论和实际设计。我们的长期目标是了解下一代无线系统中新的复杂性和动态如何影响其操作和用户体验，以及如何将人工智能和自主适应集成到这些系统中以管理其复杂性和动态。在该项目的短期内，我们专注于开发适用于 5G 和 B5G 网络的先进通信和机器学习技术。拟议的合作伙伴关系将实现一个独特的合作项目，该项目汇集了爱立信世界领先的工程专业知识和大学的大量研究能力多伦多的。我们将在设计未来自适应智能无线网络时解决一系列具有挑战性的开放性问题。该项目将使爱立信加拿大公司及其在加拿大的技术和业务合作伙伴受益，改善他们的创新组合、系统设计、客户群和盈利能力。它还将有助于我们对如何在加拿大建立高效、强大的通信系统的基本理解。