Prof. Ko obtained his BS degree in Electronic-Communications from Hanyang University, Seoul, Korea in 1997 and MSEE and Ph.D in Electrical Engineering from University of Minnesota, twin cities, MN in 1999 and 2001, respectively. He had worked for Texas Instruments Inc., San Diego, CA from 2001 to 2004. He joined Korea University as Assistant Professor in 2004 and became a full Professor in 2011. 

He leads the communication system lab with the research focus on the performance analysis, modeling and design of wireless systems.  The on-going funded research projects include the future Wi-Fi system design, the mm-wave bvased long distance communication systems, the waveform design for 5G and B5G, and the free-space optical communications.

He teaches the communication theory, digital communications, wireless communications, estimation and detection, machine learning , probability and random process. He received the Suk-Top teaching award 11 times since he joined Korea University in 2004. He is an adjunct Professor in Samsung System LSI University and has taught communication systems and the wireless communications since March in 2017. He also offered the short course to Samsung Electronics in Summer of 2018. Most of his lectrures are open and can be found in Youtube.

Dr. Ko is senior member of IEEE and life member of KICS.

Selected Journal

Research Topic

Our current main research topics include 1) the statistical channel modeling of mm-wave, tera hertz, and free-space optical communications, 2) long-range communications using hybrid RF and free-space optical systems, 3) beamforming techniques for mm-wave and tera hertz communications, 4) waveform design for 5G and B5G cellular systems, and 5) localization techniques using ambient RF signals, all of which are funded by various agencies and institutes in Korea.

• Communication systems 1 (Undergraduate course for the third year students) 

    - In this class, I teach 1) signal and system, 2) analog modulations/demodulations, 3) probability and random process, and 4) Nyquist sampling theorem and pulse modulation.

    - The prerequisite is probability and random process.

    - You can find the video lecture of the 1st semester in 2018 by clicking each subject as below:

Communications system II (Undergraduate course for the 3rd year)

- In this class, I teach 1) digital modulations, 2) optimal receiver over AWGN, 3) bit error rate and symbol error rate calculation, and 4) communications over band-limited channels.

- The prerequisite courses are 1) signals and system and 2) probability and random process.

- You can find the video lecture in YouTube by clicking the subject below (recorded in 2013):

Mobile Communications Engineering (Undergraduate course for the 4th year)

- In this class, I teach 1) cellular concept, 2) wireless channel modeling, 3) performance of digital communications over wireless channels, 4) multiple antenna systems, and 4) multiple access systems.

- The prerequisite courses are 1) communication systems II, 2) signal and systems, and 3) probability and random process.

- You can find the video lecture in YouTube by clicking the subject below (recorded in 2015):

1. WEEK 1
   1. Introduction
   2. Spectral efficiency
   3. Power efficiency
   4. Cellular concept
2. WEEK 2
   1. System capacity in cellular system
   2. Improving the system capacity
   3. Introduction to channel models
   4. Categorization of channel models
3. WEEK 3
   1. Path loss
   2. Two ray path loss model
   3. Some other path loss model
   4. Shadowing
4. WEEK 4
   1. CNR, Noise figure, SNR, and Link budget
   2. Receiver sensitivity and Coverage
   3. Outage probability
   4. Introduction to small scale channel fading
5. WEEK 5
   1. Delay spread and Delay profile
   2. Coherent bandwidth
   3. Techniques to overcome ISI
   4. OFDM

1. WEEK 6
   1. Doppler frequency shift
   2. Received signals over flat fading channels
   3. Block diagram and SNR
   4. Line of Sight and Non Line of Sight channels
2. WEEK 7
   1. Average channel gain
   2. Auto correlation
   3. Channel coherence time
   4. Example
3. WEEK 8
   1. Chi square random variable
   2. Rayleigh channel
   3. Ricean channel
   4. Nakagami m channel
4. WEEK 9
   1. Digital modulation and PAM
   2. Optimum receiver and SER of PAM
   3. SER of PSK Classical approach
   4. SER of PSK Craig’s approach
5. WEEK 10
   1. QAM and BDPSK over AWGN
   2. BER, SER over fading channels
   3. Diversity systems and maximal ratio combining
   4. Performance of MRC and EGC

1. WEEK 11
   1. SC and SSC diversity schemes
   2. Complexity issues of diversity systems
   3. Transmit diversity systems
   4. Maximal ratio transmission
2. WEEK 12
   1. Example of MRT and Channel capacity of diversity systems
   2. Introduction to MIMO systems
   3. Matrix analysis
   4. MIMO channel
3. WEEK 13
   1. MIMO channel capacity
   2. Example of 2x2 MIMO channel capacity
   3. MIMO detection
   4. Trade-off between diversity and multiplexing gain
4. WEEK 14
   1. MU MIMO
   2. Massive MIMO
   3. Concept of adaptive modulation
   4. Example of adaptive modulation

Current Students

1. 조 성경

     - Started in 2014 for Samsung IT students for joint MS/Ph. D program

     - BS in Korea University     

2. 이지호 

     - Started in 2014 for joint MS/Ph.D. program

     - BS in Korea University

3. 권재홍

     - Started in 2014 for joint MS/Ph.D. program

     - BS in Korea University

     - BS in Korea University