%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 }