A channel quality indicator (CQI) prediction scheme using feed forward neural network (FF-NN) technique for MU-MIMO LTE system
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...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2014
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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/ |
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Institution: | Universiti Putra Malaysia |
Language: | English |