A channel quality indicator (CQI) prediction scheme using feed forward neural network (FF-NN) technique for MU-MIMO LTE system

• Main Authors: Abdulhasan, Muntadher Qasim, Salman, Mustafa Ismael, Ng, Chee Kyun, Noordin, Nor Kamariah, Hashim, Shaiful Jahari, Hashim, Fazirulhisham
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/41159/1/A%20channel%20quality%20indicator%20%28CQI%29%20prediction%20scheme%20using%20feed%20forward%20neural%20network%20%28FF-NN%29%20technique%20for%20MU-MIMO%20LTE%20system.pdf; http://psasir.upm.edu.my/id/eprint/41159/

In Multi User-Multiple-in Multiple-Out - Long Term Evolution (MU-MIMO-LTE) networks, Channel Quality indicator (CQI) plays a vital role. CQI is crucial in describing the channel information to assign appropriate modulation and coding scheme (MCS). However, obtaining CQI values for each transmission...