Nokia (Germany)

Industry / private company


Location: München (head quarters), Germany (DE) DE

ROR: https://ror.org/05nh5td39


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Predistortion for RF Power Amplifiers Under Varying Load Conditions with Shallow Learning Neural Networks and Charge Trapping Compensation for 5G and 6G Mobile Networks (2026) Jueschke P, Fischer G Conference contribution Accurate Time-based Positioning Using Deep Learning With Anchor Selection (2025) Kirmaz A, Sahin T, Michalopoulos DS, Gerstacker W Journal article Enabling Digital Predistortion in High Fractional Bandwidth Cellular Multiband Scenarios with Direct-Sampling and Real-Valued Signals (2025) Stedile-Ribeiro T, Jelonnek B, Felgentreff T, Fischer G Conference contribution A Low Complexity Algorithm to Compute Intermodulation Distortion of Arbitrary Signals in Frequency Domain (2024) Al-Harazi S, Tabakovic Z, Fischer G Conference contribution Predistortion of Charge Trapping Memory Effects in GaN based RF Power Amplifiers with Artificial Neural Networks (2024) Jueschke P, Fischer G Conference contribution A secure and resilient 6G architecture vision of the German flagship project 6G-ANNA (2023) Hoffmann M, Kunzmann G, Dudda T, Irmer R, Jukan A, Macher G, Ahmad A, et al. Journal article Time-based vs. Fingerprinting-based Positioning Using Artificial Neural Networks (2023) Kirmaz A, Sahin T, Michalopoulos DS, Gerstacker W Conference contribution ToA and TDoA Estimation Using Artificial Neural Networks for High-Accuracy Ranging (2023) Kirmaz A, Sahin T, Michalopoulos DS, Gerstacker W Journal article Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks (2023) Kirmaz A, Şahin T, Michalopoulos DS, Ashraf MI, Gerstacker W Conference contribution Cost-Efficient Baseband DPD for Hybrid MIMO Systems with Shallow Learning Artificial Neural Networks (2022) Jueschke P, Stedile-Ribeiro T, Fischer G Conference contribution