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.

随着最近5G无线标准化的到来和超5G（B5G）技术的新兴愿景，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、移动的云计算和移动的数据分析等新技术和应用环境正在产生服务需求，这些需求强调无线基础设施的容量和灵活性。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。在与爱立信加拿大合作，我们提出了一个新的研究伙伴关系，以开发所需的理论和自适应智能无线网络的实际设计。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性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性。在该项目的短期内，我们将专注于为5G和B5G网络开发先进的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，将爱立信世界领先的工程专业知识与多伦多大学的大量研究能力结合起来。我们将解决一系列具有挑战性的开放问题，在设计未来的自适应智能无线网络。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。它还将有助于我们从根本上了解如何在加拿大建立高效和强大的通信系统。