Intelligent Wireless Networks and Systems

3 credits · Graduate

This course introduces the fundamentals of wireless networks and machine learning. The students will learn how to apply machine learning principles for the design and optimization of wireless networks and systems. In addition, this course will discuss how wireless networks and systems are being intelligentized and transformed by modern machine learning technologies. Topics include fundamentals of machine learning including reinforcement learning and federated learning, wireless network architecture, wireless networking paradigms (cellular network, Wi-Fi, Bluetooth, wireless sensor network, vehicular ad hoc network, etc.), wireless network design and optimization, applications of intelligent wireless networks in different domains like transportation, IoT, agriculture, healthcare, space, etc. CALENDAR NOTES: This course assumes some basic knowledge of machine learning and networking. Therefore, a course in either of these domains should have been completed by students prior to taking this course. EXCLUSIONS: CSCI 4179