Digital Library

1. 1. Deep Learning-Based Prediction of the Quality of Multiple Concurrent Beams in mmWave Band
   Jun-Hyeok Choi, Mun-Suk Kim, Vol. 23, No. 3, pp. 13-20, Jun. 2022
   10.7472/jksii.2022.23.3.13
   Keywords: mmWave, 802.11ay, beamforming, MU-MIMO, Deep Learning
2. 2. Improving BER Performance of IEEE 802.15.4 with Alamouti Scheme in MIMO System
   Eddy Hartono Halim, Soo-Yong Shin, Vol. 14, No. 1, pp. 1-8, Feb. 2013
   10.7472/jksii.2013.14.1
   Keywords: IEEE 802.15.4, Alamouti scheme, BER performance, MIMO
3. 3. Performance Improvement of the Combined AMC-MIMO Systems with Independent MCS Level Selection Method
   In-Tae Hwang, Kwang-Wook Choi, Sang-Jin Ryoo, Kyung-Hwan Lee, Cheol-Woo You, Dae-Ki Hong, Min-Goo Kang, Cheol-Sung Kim, Vol. 8, No. 1, pp. 47-56, Feb. 2007
   Keywords: AMC, V-BLAST, MIMO, MCS
4. 4. Adaptive Modulation and Coding of MIMO in Next Generation Mobile Systems
   Kang Sung-Jin, Jang Tae-Won, You Young-Whan, Whang In-Tae, Kang Min-Goo, Kang Chang-Eon, Vol. 4, No. 5, pp. 1-10, Oct. 2003
   Keywords: Adaptive Modulation and Coding, MIMO (Multiple Input Multiple Output), MCS (Modulation and Coding Scheme) level, AMC-TD, AMC-STTD