TY - GEN
T1 - DNN assisted Sphere Decoder
AU - Askri, Aymen
AU - Othman, Ghaya Rekaya Ben
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - A modified sphere decoding (SD) scheme is proposed for multiple-input multiple-output (MIMO) communication systems in this paper. The contribution of the paper includes the introduction of a systematic approach to sphere radius design and control based on Deep Neural Networks (DNNs) 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 cleverly learnt by a neural network (NNW), 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 of the MMSE decoder complexity.
AB - A modified sphere decoding (SD) scheme is proposed for multiple-input multiple-output (MIMO) communication systems in this paper. The contribution of the paper includes the introduction of a systematic approach to sphere radius design and control based on Deep Neural Networks (DNNs) 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 cleverly learnt by a neural network (NNW), 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 of the MMSE decoder complexity.
U2 - 10.1109/ISIT.2019.8849786
DO - 10.1109/ISIT.2019.8849786
M3 - Conference contribution
AN - SCOPUS:85073145534
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1172
EP - 1176
BT - 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Information Theory, ISIT 2019
Y2 - 7 July 2019 through 12 July 2019
ER -