Electronic Engineering: Design of Internet of Things and UAV Array Network Communication System

Course 19: Electronic Engineering: Design of Internet of Things and UAV Array Network Communication System

I. Course Description

Marconi was the first to demonstrate that, through radio waves, it was possible to establish continuous streams of communication with ships sailing in the English Channel, thus enabling significant changes in the wireless technology that enabled us to conduct mobile communications. Today, affordable and fast telecommunications, driven by radio-frequency circuit manufacturing and digital switching technology, has been deployed worldwide. In order to allow all users to use a network with sufficient data rate and seamless connection, we should consider building more optimized wireless communication systems. The application of radio communication in scientific research, military communication, aerospace and many other fields can obtain information through various sensors and equipment, and communicate with ground stations or other equipment through radio communication systems.

The course will focus on a top-down approach to the design of wireless communication systems to build a fundamental understanding of core physics and network layer functions from an analytical and practical perspective. The students learn the knowledge of digital communication and signal processing of wireless systems; practical detection and estimation algorithms applied to transmitter-receiver line design; study modern radio design based on OFDM, spread frequency and multiple antenna, and wireless protocol and network technology. Students will also study both existing and emerging wireless systems, including 2G to 6G networks, WiFi, and the Internet of Things.

II. Professor Introduction

Danijela Cabric – Tenured professor at UCLA

Professor Danijela Cabric is a professor in the Department of Electronic and Computer Engineering at the University of California, Los Angeles. She received a masters degree in electrical engineering from UCLA in 2001 and subsequently a PhD in electrical engineering from the University of California, Berkeley in 2007. Her research interests are in the design of wireless communication systems, machine learning for wireless communications, sensing and security and performance analysis, and experiments with embedded platforms and software-defined radios.

In 2020, Professor Cabric was elected a member of the Institute of Electrical and Electronics Engineers (IEEE) for his “contribution to the theory and practice of spectrum perception and cognitive radio systems”. The professors academic achievements are internationally renowned, and the total number of references published in top academic journals is nearly 20,000 times.

III. Syllabus

1. Digital communication: signal space, transmitter and receiver structure
2. Wireless signal processing: modulation and demodulation, estimation and detection
3. wireless channel modeling and link budget
4. Multi-carrier Modulation (OFDM)
5. Channel estimation, equilibrium, and synchronization
6. Multi-antenna communication, MIMO
7. Beamforming, large-scale multiple input and multiple output (MIMO)
8. Wireless sensing and positioning
9. Design examples: Internet of Things, WiFi, uWB communication
10. Design example 5G cellular and millimeter wave network