Information Theory and Wireless Communications

信息论与无线通信

• 批准号: CRC-2018-00334
• 负责人: Yu, Wei
• 金额: $ 14.57万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695204
• 关键词: Information; Theory; Wireless; Communications

The exponential growth of high-speed wireless communications has had a profound impact on our society. The proposed research program leverages the tremendous success of machine learning to develop technologies for the next-generation wireless networks. The proposed research will utilize a data-driven methodology to advance optimization theory as applied to the wireless scheduling, precoding, and massive device activity detection problems. It will further develop distributed learning techniques for collaborative wireless localization and will advance the theory of learning under communication constraints. This interplay between communication and learning theory will yield exciting new techniques in both fields.

高速无线通信的指数增长对我们的社会产生了深远的影响。拟议的研究计划利用机器学习的巨大成功来开发下一代无线网络的技术。拟议的研究将利用数据驱动的方法来推进应用于无线调度，预编码和大规模设备活动检测问题的优化理论。它将进一步发展分布式学习技术的协作无线定位，并将推进通信约束下的学习理论。交流和学习理论之间的相互作用将在这两个领域产生令人兴奋的新技术。