Song Noh

Ph.D. student in the Electrical and Computer Engineering at Purdue University under the supervision of Dr. Michael Zoltowski and Dr. David Love
Research interests in Statistical Signal Processing and Wireless Communication and Networks

Bio

Song Noh received the B.S. in electrical engineering from Soongsil University, Seoul, Korea, in 2008 and the M.S. degree from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2010. He is currently working toward the Ph.D. degree in electrical and computer engineering at Purdue University, West Lafayette, IN. Mr. Noh was a co-receipent of the Communication Theory Symposium Best Paper Award at the 2014 Global Communication Conference (Globecom) and the Silver prize in the 21st HumanTech Paper Contest sponsored by Samsung in 2015. He was awarded Talented Scholar Fellowship from Soongsil University in 2012 - 2013. He was recognized as an exemplary reviewer of the IEEE Transactions on Communications in 2015.

Publications

Journal papers
  1. Song Noh, Michael Zoltowski, and David Love, "Multi-resolution codebook and adaptive beamforming sequence design in millimeter wave systems", (to be submitted), 2015.
  2. Song Noh, Michael Zoltowski, and David Love, "Training sequence design for feedback assisted hybrid beamforming in massive MIMO systems," IEEE Transactions on Communications, (submitted for publication), 2015.
  3. Song Noh, Michael Zoltowski, Youngchul Sung, and David Love, "Pilot beam pattern design for channel estimation in massive MIMO systems," IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 5, pp. 787 -- 801, Oct. 2014. code
  4. Song Noh, Youngchul Sung, and Michael Zoltowski, "A new precoder design for blind channel estimation in MIMO-OFDM systems," IEEE Transactions on Wireless Communications, vol. 13, no. 12, pp. 7011 -- 7024, Sep. 2014.
Conference papers
  1. Song Noh, Michael Zoltowski, and David Love, "Multi-resolution codebook based beamforming sequence design in millimeter-wave systems," in Proc. IEEE Global Communications Conference (Globecom), (submitted for publication), 2015.
  2. Song Noh, Michael Zoltowski, and David Love, "Downlink training codebook design and hybrid precoding in FDD massive MIMO systems," in Proc. IEEE Global Communications Conference (Globecom), Austin, TX, Dec. 2014. - Best paper award -
  3. Song Noh, Michael Zoltowski, Youngchul Sung, and David Love, "Training signal design for channel estimation in massive MIMO systems," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014.
  4. Song Noh and Michael Zoltowski, "A new precoder design for precoding-based blind channel estimation for MIMO-OFDM systems," in Proc. IEEE Global Communications Conference (Globecom), Atlanta, GA, Dec. 2013.
  5. Song Noh, Michael Zoltowski, Youngchul Sung, and David Love, "Optimal pilot beam pattern design for massive MIMO systems," in Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove , CA, Nov. 2013.
  6. Song Noh and Michael Zoltowski, "Blind separation for precoding-based blind channel estimation for MIMO-OFDM systems," in Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2013.

Awards and Honors

  1. IEEE Transactions on Communications Exemplary Reviewer, 2015.
  2. Silver Prize in the 21st Samsung HumanTech Paper Contest, 2015.
  3. Global Communications Conference (Globecom) Best Paper Award, 2014.
  4. Soongsil University Talented Scholar Fellowship, 2012 - 2013.
  5. GPA Scholarship, Soongsil University, 2005 - 2007.

External Activity

Reviewer for Journal and Conference Papers
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Communications Letters
  • IEEE Wireless Communications Letters
  • IEEE Signal Processing Letters
  • IEEE ICC 2015/ IEEE WCNC 2015
Invited Talks
  1. "Channel estimation initiatives through training signal design in large-scale MIMO", Soongsil University, Sep. 2014, and KAIST, Aug. 2014.