This course teaches the principles of wireless network access techniques and system applications. The main focus of contents includes wireless radio resource management such as medium access techniques, power control, handoff, and scheduling. Optimization of wireless systems in terms of capacity and efficiency is addressed and their applications to WiFi, WiMax, and ad hoc/sensor/mesh networks are provided.
Topics covered in this course include layered network architecture, open system interconnection (OSI), and various network protocols, such as Ethernet, Token Ring, FDDI, DQDB, X.25, Frame Relay, SMDS, Internet, telephone network, signaling network, and ATM network.
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Fundamental principles and mathematical bases underlying digital communication systems are introduced. Topics include MAP detection theory, optimum receivers, information theory, coding theory, and diversity techniques.
(Prerequisite: EE421)
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This is a graduate level course on data communication. The first half of the course involves an overview, data transmission, and data communication network. The latter half of the course involves internet protocol, internet service, and wireless internet.
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In this course, based on the fundamental concepts and knowledge addressed in EE210, we discuss advanced topics in probability and random processes for applications in engineering. Topics include algebra of sets, limit events, random vectors, convergence, correlation functions, independent increment processes, and compound processes. (Prerequisite: {EE210} or {Approval of the Instructor})
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Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.
Made by PRESSCAT