Publications

Florian Euchner, Phillip Stephan, Marc Gauger, Sebastian Dörner, and Stephan ten Brink. Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022. [PUMA: channel charting mimo myown triplet] URL

Florian Euchner, Marc Gauger, Sebastian Dörner, and Stephan ten Brink. A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning. 25th International ITG Workshop on Smart Antennas (WSA 2021), 2021. [PUMA: channel csi distributed mimo ml myown sounder] URL

Florian Euchner, Marc Gauger, Sebastian Dörner, and Stephan ten Brink. A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning. 25th International ITG Workshop on Smart Antennas (WSA 2021), 2021. [PUMA: myown sounder from:sdnr distributed channel csi mimo ml] URL

Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Sarah Yan, Jakob Hoydis, and Stephan ten Brink. Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. 2019. [PUMA: myown from:sdnr mimo ml] URL

M. Arnold, S. Dörner, S. Cammerer, and S. ten Brink. On Deep Learning-Based Massive MIMO Indoor User Localization. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 1-5, June 2018. [PUMA: 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]

M. Widmaier, M. Arnold, S. Dörner, S. Cammerer, and S. ten Brink. Towards Practical Indoor Positioning Based on Massive MIMO Systems. 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-6, September 2019. [PUMA: extractor;Artificial multiple-output myown from:sdnr (artificial communication;neural nets;telecommunication system;neural extraction arrays;Feature structure;phase measurements;Training;Antenna radio;learning system;user intelligence);MIMO acquisition;feature NN localization communication;indoor neural data networks;channel branch;indoor extraction;indoor systems;indoor scenarios;recall positioning MIMO accuracy;training networks;Antenna information;multiple-input state system;IPS computing;massive task;tailored communication]