%0 Conference Paper
%1 positioning_spawc
%A Arnold, M.
%A Dörner, S.
%A Cammerer, S.
%A ten Brink, S.
%B 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
%D 2018
%K multiple-output myown from:sdnr (artificial multiplex;complex communication;neural networks;Training;Antenna estimation;gradient system;Artificial descent modulation;deep intelligence);MIMO massive indoor localization;deep arrays;Antenna networks;multiple-input methods;learning user measurements;OFDM;Machine neural frequency systems;gradient channel learning learning-based training coefficients;indoor division nets;OFDM optimization;two-step positioning MIMO procedure;OFDM user;orthogonal
%P 1-5
%R 10.1109/SPAWC.2018.8446013
%T On Deep Learning-Based Massive MIMO Indoor User Localization
@inproceedings{positioning_spawc,
added-at = {2020-03-20T15:07:06.000+0100},
author = {{Arnold}, M. and {D\"orner}, S. and {Cammerer}, S. and {ten Brink}, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2dfa09f10917bf31c26f1584616b1c9e6/inue},
booktitle = {2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
doi = {10.1109/SPAWC.2018.8446013},
interhash = {9e12fc3098e3ba0e029e11d959b7c620},
intrahash = {dfa09f10917bf31c26f1584616b1c9e6},
issn = {1948-3252},
keywords = {multiple-output myown from:sdnr (artificial multiplex;complex communication;neural networks;Training;Antenna estimation;gradient system;Artificial descent modulation;deep intelligence);MIMO massive indoor localization;deep arrays;Antenna networks;multiple-input methods;learning user measurements;OFDM;Machine neural frequency systems;gradient channel learning learning-based training coefficients;indoor division nets;OFDM optimization;two-step positioning MIMO procedure;OFDM user;orthogonal},
month = {June},
pages = {1-5},
timestamp = {2020-03-20T14:07:06.000+0100},
title = {On Deep Learning-Based Massive MIMO Indoor User Localization},
year = 2018
}