Grant: Discovery Grants Program - Individual

Next-generation wireless networks like 5G and beyond promise to support a large number of devices, offer high data rates, and provide ultra-reliable low-latency communication. However, the exponential increase in connected devices and diverse service requirements make network management a significant challenge. Traditional systems struggle to adapt to dynamic changes such as user mobility, fluctuating traffic demand, and varying channel conditions. Artificial Intelligence (AI), through machine learning algorithms, can optimize network resources by learning from vast operational data. Despite the potential of AI, integrating it into wireless networks presents significant challenges, necessitating continuous research.   The long-term objectives of this research program are to explore the potential of AI and leverage it to address the challenges in managing next-generation wireless communication networks intelligently and effectively, enhancing the network performance, reliability, scalability, and efficiency. To this end, the research program will be divided into three closely related short-term objectives to be achieved in three thrusts: AI-assisted data-driven network performance optimization, communication and computing integrated network architecture for AI, AI-driven intelligent, decentralized, and automatic network management. Each thrust is further divided into specific tasks that aim to develop innovative approaches to network management using AI. Specifically, we aim to develop innovative AI approaches that analyze vast amounts of data, uncover patterns, predict traffic demands, and identify potential network issues to optimize resource allocation and network performance; design a new network architecture that merges communication and computation capabilities to fully leverage the potential of AI to alleviate the scarcity of spectrum resources and increase communication efficiency; and develop decentralized machine learning approaches for scalable network management, making 5G/6G more resilient and adaptable, capable of self-organizing and self-healing in response to changing network conditions. The envisaged research initiative is set to yield fundamental insights into scientific principles and innovative engineering solutions that are pivotal for the development of next-generation wireless networks. For Canada, with its vast geography and diverse topography, efficient wireless networks are crucial, and AI integration could boost connectivity, especially in remote areas, contributing to economic growth and social inclusion. This research could also stimulate innovation in Canada's tech sector, potentially creating new businesses and jobs. The research will promote Equity, Diversity, and Inclusion (EDI) by training Highly Qualified Personnel (HQPs) from various backgrounds in AI and wireless communications. This interdisciplinary research provides holistic training, preparing HQPs for diverse career paths.