Contributions WP3.4

• X. Xu, J. Wagner and F. Ellinger, “A 62-GHz High-Efficiency Power Amplifier With Modulation Capability via Back-Gate in 22-nm FD-SOI,” in IEEE Solid-State Circuits Letters, vol. 6, pp. 49-52, 2023, doi: 10.1109/LSSC.2023.3242909.

 

• X. Xu, J. Wagner and F. Ellinger, “Two Wilkinson-Power-Combiners designed with Transmission Lines and Lumped Elements in 22 nm FD-SOI CMOS,” accepted at IEEE RADIO2023 ** Best student award**.

 

• X. Xu, J. Wagner and F. Ellinger, “A 28 GHz and 38 GHz Dual-Band Up-Conversion Mixer for 5G Applications in 22 nm FD-SOI CMOS,”  accepted at IEEE PRIME2023.

 

• I. Bizon, Z. Li, A. Nimr, M. Chafii and G. P. Fettweis, “Experimental Performance of Blind Position Estimation Using Deep Learning,“ in GLOBECOM 2022 – 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 4553-4557, doi: 10.1109/GLOBECOM48099.2022.10001103.

 

• I. Bizon, A. Nimr, P. Schulz, M. Chafii, and G. P. Fettweis, “Blind Transmitter Localization Using Deep Learning: A Scalability Study“, in 2023 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2023), 2023.

 

• Huang et al., “Odor discrimination and identification by graphene-based electronic nose system“, APS March Meeting 2023, Las Vegas (USA).

 

• Panes-Ruiz et al., “Surface-Functionalized Multichannel Nanosensors and Machine Learning Analysis for Improved Sensitivity and Selectivity in Gas Sensing Applications,” in SYSINT 2022. Lecture Notes in Networks and Systems, vol 546. Springer, Cham. https://doi.org/10.1007/978-3-031-16281-7_66.

 

• Huang et el., “Machine Learning-Enabled Smart Gas Sensing Platform for Identification of Industrial Gases,” in Adv. Intell. Syst.2022,4, 2200016: https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.202200016.

 

• Franz Weißer, Michael Baur, and Wolfgang Utschick, “Unsupervised Parameter Estimation using Model-based Decoder.,” 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, 2023, pp. 571-575, doi: 10.1109/SPAWC53906.2023.10304459.

 

• Franz Weißer, Nurettin Turan, Dominik Semmler, and Wolfgang Utschick, “Data-Aided Channel Estimation Utilizing Gaussian Mixture Models.,” to be published at ICASSP 2024, https://arxiv.org/abs/2308.16601.

 

• Franz Weißer, Dominik Semmler, Nurettin Turan, and Wolfgang Utschick, “Data-Aided MU-MIMO Channel Estimation Utilizing Gaussian Mixture Models.,” to be published at ICC 2024.

 

• Franz Weißer, Nurettin Turan, and Wolfgang Utschick, “Combining DoA-based and MMSE Techniques for Wireless Channel Estimation.,” submitted to IEEE, https://arxiv.org/abs/2312.06349.

 

• Michael Baur, Franz Weißer, Benedikt Böck, Wolfgang Utschick, “Model Order Selection with Variational Autoencoding,”  Submitted to the IEEE, https://arxiv.org/abs/2210.15407.

 

• X.-Y. Li, V.C. Andrei, U.J. Mönich, H. Boche, “Optimal and Robust Waveform Design for MIMO-OFDM Channel Sensing: A Cramér-Rao Bound Perspective,” 2023 IEEE International Conference on Communications, https://arxiv.org/abs/2301.10689.

 

• Vlad C. Andrei, Xinyang Li, Ullrich J. Mönich, Holger Boche, “Sensing-Assisted Receivers for Resilient-By-Design 6G MU-MIMO Uplink,“ 2023 IEEE Symposium on Joint Communication and Sensing, https://arxiv.org/abs/2302.07009.

 

• F. Seguel, D. Salihu, M. Xiong and E. Steinbach, “Contactless FMCW Radar-Based Health Monitoring Using Continuous Wavelet Transform and Machine Learning“, European Wireless 2023. Rome, Italy, October 2-4, 2023.

 

• Fabian Seguel, Driton Salihu, Stefan Hägele and Eckehard Steinbach, “Complex-Valued Deep Learning-Based Indoor Positioning for mm-Wave IEEE 802.11az“, Submitted to 2024 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

 

• Fabian Seguel and Eckehard Steinbach, “Contactless Radar-Based ECG Reconstruction using Multiresolution Analysis and Machine Learning“, Submitted to IEEE Sensors letters.

 

• Y. Li et. al., “Toward Smart Sensing by MXene” in Small 2023, 19, 2206126:https://onlinelibrary.wiley.com/doi/full/10.1002/smll.202206126 R. F. Riaz, F. Protze, C. Hoyer, J. Wagner and F. Ellinger, “Design and Experimental Evaluation of 60 GHz Self-compensating Bond-wire Interconnect” accepted at IEEE NEWCAS2023.

 

• C. Hoyer, L. Wetzel, D. Prousalis, J. Wagner and F. Ellinger, “Heterogeneity in Time Delays between Mutually Synchronized 24 GHz Oscillators” accepted at IEEE NEWCAS2023.

 

• J. Wagner, H. Winger, C. Cherif and F. Ellinger, “Smart Glove with Fully Integrated Textile Sensors and Wireless Sensor Frontend for the Tactile Internet” in IEEE Sensors Letters, vol. 7, no. 2, pp. 1-4, Feb. 2023, Art no. 5500504, doi: 10.1109/LSENS.2023.3239991.

 

• N. Elagroudy, M. G. Becker, B. Al-Qudsi, S. Grover, M. Gunia and F. Ellinger, “Investigation of a K-Band SiGe VCO for FMCW Radar Localization” IMOC 2023.

 

• Maximilian Gottfried Becker, Niko Joram, Frank Ellinger, “A 400 MHz 19 dBm Inverse Class-E Power Amplifier for Energy-Efficient Aggressive Duty-Cycling” ICECCME 2022.

 

• Rabia Fatima Riaz, Manu Viswambharan Thayyil, Jens Wagner, Lucas Wetzel, Dimitrios Prousalis, Frank Ellinger, “A Multiple Input and Gain Adjustable Phase Detector in 130 nm SiGe BiCMOS Technology” BCICTS 2022.

 

• Xin An, Xin Yan, Helmuth Morath, Jens Wagner, Frank Ellinger, “A 60-GHz 8-dBm Output-Power OOK-Capable VCO Based on a Feedback Class-E Amplifier” MWCL.

 

• X. Xu, J. Wagner and F. Ellinger, “A 60 GHz Down-Conversion Mixer featuring Energy-saving Standby-Mode in 22 nm FD-SOI” APMC2023.

 

• Mengqi Cui, Jens Wagner, Frank Ellinger, “A low power 30 GHz Class-D VCO with common mode resonance in 22 nm FD-SOI” APMC2023.

 

• Mengqi Cui, Jens Wagner, Frank Ellinger, „A Class-J/F 60 GHz Unit Power Amplifier with 42.3% Power Added Efficiency in FDSOI CMOS” RFIC2024.

 

• Christian Hoyer, Franz-Alwin Dürrwald, Florian Protze, Jens Wagner, Tilo Meister, Frank Ellinger, „Self-Organized Synchronization of Mutual Coupled Spatially Distributed 60-GHz PLLs” I2MTC.

 

• C. Hoyer, J. Wagner, F. Ellinger, „Phase Noise in Networks of Mutual Synchronized Spatially Distributed 24-GHz PLLs” TMTT.

 

• X.-Y. Li, V.-C. Andrei, U. J. Mönich, and H. Boche, “Optimal Linear Precoder Design for MIMO-OFDM Integrated Sensing and Communications Based on Bayesian Cramér-Rao Bound,” in Proceedings of the IEEE Global Telecommunications Conference, 2023.

 

• X.-Y. Li, V.-C. Andrei, Demonstrator on Digital Twinning and Signal Processing for Integral Sensing, Communications and Robotics, IEEE International Conference on Communications, 2023.

 

• X.-Y. Li, V.-C. Andrei, Demonstrator on Digital Twinning and Signal Processing for Integral Sensing, Communications and Robotics, Berlin 6G Conference, 2023.

 

• X.-Y. Li, V.-C. Andrei, Demonstrator on Digital Twinning and Signal Processing for Integral Sensing, Communications and Robotics, Thinknet 6G Summit, 2023.

 

• V.-C. Andrei, X. Li, M. Fees, A. Feik, U. J. Mönich, and H. Boche, “A digital twinning platform for integrated sensing, communications and robotics,” in 2024 IEEE 4th International Symposium on Joint Communications Sensing (JCS), accepted, 2024.

 

• V.-C. Andrei, X.-Y. Li, Live Demo for the paper “A digital twinning platform for integrated sensing, communications and robotics,” in IEEE 4th International Symposium on Joint Communications Sensing.

 

• X. Li, V.-C. Andrei, U. J. Mönich, and H. Boche, „A Generic Information-Theoretic Model for Integrated Sensing and Communications“, submitted to IEEE International Symposium on Information Theory  2024.

 

• X. Li, V.-C. Andrei, U. J. Mönich, and H. Boche “An Analysis of Capacity-Distortion Trade-Offs in Memoryless ISAC Systems”, submitted to IEEE Transactions on Information Theory.

 

• V.-C. Andrei, A. Djuhera, X-Y. Li, U.J. Mönich, W. Saad, H. Boche “Resilient-By-Design Framework for MIMO-OFDM Communications under Smart Jamming”, accepted to  IEEE International Conference on Communications, 2nd Workshop on Enabling Security, Trust, and Privacy in 6G Wireless Systems.