Technical Program

Paper Detail

Paper Title DNN assisted Sphere Decoder
Paper IdentifierTU3.R8.2
Authors Aymen Askri, Ghaya Rekaya-Ben Othman, Télécom ParisTech, France
Session MIMO
Location Conseil, Level 5
Session Time Tuesday, 09 July, 14:30 - 16:10
Presentation Time Tuesday, 09 July, 14:50 - 15:10
Manuscript  Click here to download the manuscript
Abstract A modified sphere decoding (SD) scheme is proposed for multiple-input multiple-output (MIMO) communication systems in this paper. The contribution of this paper includes the introduction of a systematic approach to sphere radius design and control based on Neural Networks (NN) as well as the complexity advantage yielded by the proposed scheme. The learning model is introduced to predict the number of lattice points inside the sphere with some radius. Since this number is intelligently learnt by a NN, the SD updates the radius until expecting a small number of points and then starts the search hypersphere, which greatly reduces the computational complexity. We show through simulation that for high dimensional MIMO systems the number of lattice points highly reduces in the new SD algorithm, which leads to a complexity only 3 times MMSE decoder complexity.