• M. Dziubany, S. Kopp, L. Creutz, J. Schneider, A. Schmeink and G. Dartmann, "Artificial Intelligence for Fleets of Autonomous Vehicles: Desired Requirements and Solution Approaches, book chapter in Smart Transportation: AI Enabled Mobility and Autonomous Driving", CRC Press, Taylor & Francis, to appear Aug. 2021.
  • A. Ayad, J. Borsch and A. Schmeink, "Communication and Service Aspects of Smart Mobility: Improving Security, Privacy and Efficiency of Mobility Services by Utilizing Distributed Ledger Technology, book chapter in Smart Transportation: AI Enabled Mobility and Autonomous Driving", CRC Press, Taylor & Francis, to appear Aug. 2021.
  • Y. Zhu, Y. Hu, X. Yuan, M. C. Gursoy and A. Schmeink, "Joint Convexity of Error Probability to Blocklength and Transmit Power in the Finite Blocklength Regime", submitted. [ pdf ]
  • A. Peine, A. Hallawa, J. Bickenbach, G. Dartmann, L. B. Fazlic, A. Schmeink, G. Ascheid, C. Thiemermann, A. Schuppert, R. Kindle, L. Celi, G. Marx, L. Martin, "Development and Validation of a Reinforcement Learning Algorithm to Dynamically Optimize Mechanical Ventilation in Critical Care", nature partner journal (npj) Digital Medicine, vol. 4, no. 32 (2021).
  • A. Zamani, O. Taghizadeh and A. Schmeink, "Energy-Efficient Joint Association and Precoding in Ultra-Dense C-RAN," IEEE Transactions on Vehicular Technology, vol. 70, no. 3, pp. 2862-2866, March 2021. [ pdf | bib ].
  • X. Yuan, T. Yang, Y. Hu, J. Xu and A. Schmeink, "Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer with Nonlinear Energy Harvesting", IEEE Transactions on Wireless Communications, vol. 20, no. 2, pp. 1105-1121, Feb. 2021. [ pdf | bib ].
  • P. Ghofrani, A. Schmeink, "On the Optimal Precoding for MISO-WSN: One Time Slot Detection of Multiple Binary Data on the Same Frequency Band", IEEE Transactions on Wireless Communications, vol. 20, no. 2, pp. 997-1010, Feb. 2021. [ pdf | bib ].
  • Y. Zhu, Y. Hu, T. Yang, T. Yang, J. Vogt and A. Schmeink, "Reliability-Optimal Offloading in Low-Latency Edge Computing Networks: Analytical and Reinforcement Learning Based Designs," in IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 6058-6072, June 2021 [ pdf | bib ]
  • J. Wang, B. Li, Y. Hu, A. Schmeink, "Robust Design for UAV-Enabled Multiuser Relaying System with SWIPT", IEEE Transactions on Green Communications and Networking, Early Access, pp. 1-13, June 2021.
  • X. Yuan, Y. Hu, D. Li, A. Schmeink, "Novel Optimal Trajectory Design in UAV-Assisted Networks: A Mechanical Equivalence-Based Strategy", IEEE Journal on Selected Areas in Communications, SI-UAV-B5G, Early Access, June 2021. [ pdf | bib ]
  • X. Yuan, Y. Hu, A. Schmeink, "Joint Design of UAV Trajectory and Directional Antenna Orientation in UAV-Enabled Wireless Power Transfer Networks", IEEE Journal on Selected Areas in Communications, SI-UAV-B5G, Eary Access, June 2021. [ pdf | bib ]
  • Y. Hu, X. Yuan, G. Zhang and A. Schmeink, "Sustainable Wireless Sensor Networks With UAV-Enabled Wireless Power Transfer," in IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 8050-8064, Aug. 2021.
  • E. Oral, A. Schmeink, G. Dartmann, G. Ascheid, A. E. Pusane and G. K. Kurt, "Consensus Analysis of Wireless Multi-Agent Systems Over Fading Channels," in IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1528-1531, July 2021. [ pdf | bib ]
  • K. Preusser, A. Schmeink, "Robust Channel Modelling of 2.4 GHz and 5 GHz Indoor Measurements: Empirical, Ray Tracing and Artificial Neural Network Models", IEEE Transactions on Antennas and Propagation, pp. 1-14, Early Access, 2021. [ pdf | bib ]
  • X. Yuan, H. Jiang, Y. Hu, B. Li, E. Jorswieck and A. Schmeink, "Joint Power and Data Allocation in Multi-Carrier Full-Duplex Relaying Networks Operating with Finite Blocklength Codes," IEEE Transactions on Wireless Communications, Early Access, 2021, doi: 10.1109/TWC.2021.3104742.
  • J. Wang, G. Wang, B. Li, H. Yang, Y. Hu and A. Schmeink, "Massive MIMO Two-Way Relaying Systems with SWIPT in IoT Networks", IEEE Internet of Things Journal, Oct.2020, is available under the "Early Access" area on IEEE Xplore. [ pdf | bib ]
  • A. Zamani, R. Kämmer, Y. Hu, A. Schmeink, "Optimization of Unmanned Aerial Vehicle Augmented Ultra-Dense Networks", EURASIP Journal on Wireless Communications and Networking, 2020 [ pdf | bib ].
  • Y. Hu, G. Sun, G. Zhang, M. C. Gursoy and A. Schmeink, "Optimal Resource Allocation in Ground Wireless Networks Supporting Unmanned Aerial Vehicle Transmissions," in IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 8972-8984, Aug. 2020, doi: 10.1109/TVT.2020.2998899. [ pdf | bib ]
  • Y. Hu, X. Yuan, T. Yang, B. Clerckx, A Schmeink, "On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting", Correspondence in IEEE Transactions on Vehicular Technology, Vol. 69, No. 5, 2020. [ pdf | bib ]
  • Y. Hu, Y. Li, M. C. Gursoy, S. Velipasalar, A. Schmeink,"Throughput Analysis of Low-Latency IoT Systems with QoS Constraints and Finite Blocklength Codes", in IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 3093-3104, March 2020, doi: 10.1109/TVT.2020.2968463. [ pdf | bib ]
  • A. Hallawa, E. Zechendorf, Y. Song, A. Schmeink, A. Peine, L. Marin, G. Ascheid, G. Dartmann, On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets, Society for the Promotion of Evolutionary Computation in Europe and its Surroundings, Springer International Publishing, p.p. 254-269, 2019. [ pdf | bib ]
  • Peine A, Hallawa A, Schöffski O, Dartmann G, Fazlic LB, Schmeink A, Marx G, Martin L, "A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study", JMIR Med Inform 2019;7(4):e14806 DOI: 10.2196/14806 PMID: 31603430 PMCID: 6819012. [ pdf | bib ]
  • R. Machhamer, M. Dziubany, L. Czenkusch, H. Laux, A. Schmeink, K.U. Gollmer, S. Naumann, G. Dartmann, "Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware", IEEE Access, 2019. [ pdf | bib ]
  • C. Schnelling, M. Rothe, N. Koep, R. Mathar, A. Schmeink, "Efficient Implementation of Density Evolution for Punctured Polar Codes", IEEE Access, 2019. [ pdf | bib ]
  • J. Schneider, M. Dziubany, A. Schmeink, G. Dartmann, K.-U. Gollmer, S. Naumann, "Predicting energy consumption using machine learning", Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition Elsevier, Jul. 2019. [ pdf | bib ]
  • A. Hallawa, Z. Song, A. Peine, L. Martin, A. Schmeink, G. Ascheid, G. Dartmann, "Machine Learning in Future Intensive Care: Classification of Stochastic Petri Nets via Continuous-time Markov Chains", Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition Elsevier, Jul. 2019. [ pdf | bib ]
  • M. Dziubany, M. Garling, A. Schmeink, G. Burger, G. Dartmann, S. Naumann, K. Gollmer, "Machine Learning-Based Artificial Nose on a Low-Cost IoT-Hardware", Chapter in Big Data Analytics for Cyber-Physical Systems, Machine Learning for the Internet of Things, 1st Edition Elsevier, Jul. 2019. [ pdf | bib ]
  • Y. Hu, C. Schnelling, M. C. Gursoy, A. Schmeink, "Multi-Relay-Assisted Low-Latency High-Reliability Communications with Best Single Relay Selection", IEEE Transactions on Vehicular Technology, 2019.
  • P. Vieting, L. Martin, G. Dartmann, A. Schmeink, "Likelihood-Based Adaptive Learning in Stochastic State-Based Models", IEEE Signal Processing Letters, 2019.
  • Y. Hu, X. Yuan, J. Xu, A. Schmeink, "Optimal 1D Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer", IEEE Transactions on Communications, 2019.
  • P. Ghofrani, A. Schmeink, "3-D Energy Optimal Receiver Placement with Constraints on the LOS Delay and Angle", IEEE Transactions on Wireless Communications, 2019.
  • Q. He, Y. Hu, A. Schmeink, "A Seysen's Algorithm based Incremental Lattice Reduction", Transactions on Emerging Telecommunications Technologies, 2019.[ pdf | bib ]
  • Q. He, Y. Hu, A. Schmeink, "Closed-form Symbol Error Rate Expressions for Non-orthogonal Multiple Access Systems", IEEE Transactions on Vehicular Technology, Jul. 2019. [ pdf | bib ]
  • Y. Hu, Y. Zhu, M. C. Gursoy, A. Schmeink, "SWIPT-Enabled Relaying in IoT Networks Operating with Finite Blocklength Codes", IEEE Journal on Selected Areas in Communications, vol. 37, no. 2, pp. 1-14, February 2019.
  • S. Bauk, J. A. L. Calvo, A. Schmeink, S. Azam, R. Mathar, "On Deploying Vehicular Communication at the Developing Seaport and Related Innovation Success Impediments", Transport, vol. 34, no. 1, pp. 126-134, February 2019.
  • G. Ecker, D. Yuan, A. M. Koster, A. Schmeink, "Accurate Optimization Models for Interference Constrained Bandwidth Allocation in Cellular Networks", Computers & Operations Research, vol. 101, pp. 1-12, January 2019.
  • R. Thomä, T. Dallmann, S. Jovanoska, A. Schmeink, "Joint Communication and Radar Sensing: An Overview", European Conference on Antennas and Propagation, EuCAP 2021, accepted.
  • Y. Zhu, X. Yuan, B. Han, Y. Hu, A. Schmeink, "Average Age-of-Information Minimization in EH-enabled Low-Latency IoT Networks", IEEE ICC'21-- IoTSN Symposium, accepted.
  • X. Yuan, Y. Hu, A. Schmeink, " Joint Design of UAV Trajectory and Directional Antenna Orientation in UAV-Enabled WPT Networks", IEEE IEEE WS04 ICC Workshop -- UAV-5G , accepted, March. 2021.
  • X. Yuan, Y. Hu, J. Gross, A. Schmeink, "Radio-Map-Based UAV Placement Design for UAV-Assisted Relaying Networks", IEEE Statistical Signal Processing Workshop (SSP), July 2021, accepted.
  • X. Yuan, Y. Hu, J. Gross, A. Schmeink, "Simultaneous Wireless Information and Power Transfer in Low-Latency Relaying Networks with Nonlinear Energy Harvesting", IEEE Statistical Signal Processing Workshop (SSP), July 2021, accepted.
  • X. Yuan, Y. Zhu, Y. Hu, D. Li, A. Schmeink, "Relaying-Assisted Multiuser Networks in FBL Regime: Achievable Reliability-Constrained Throughput", IEEE ISWCS 2021, accepted. [ pdf ]
  • G. Sun, Y. Zhu, Y. Hu, J. Zhang, A. Schmeink, "Density Evolution Based Multi-Level Polar Coded Modulation", IEEE ISWCS 2021, accepted.
  • Y. Zhu, X. Yuan, Y. Hu, Q. Chen, A. Schmeink, “Error Probability Minimization of Multi-hop Relaying System in the Finite Blocklength Regime”, IEEE ISWCS 2021, accepted.
  • L. D. Schuck, R. Lipp, L. B. Fazlic, G. Dartmann, A. Schmeink, "Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory", IEEE International Symposium on Intelligent Systems and Informatics (SISY), accepted, July 2021.
  • N. Guo, X. Yuan, Y. Hu, A. Schmeink, "SWIPT-Enabled Multi-User Cooperative Communication with Nonlinear Energy Harvesting", invited paper, WSA 2021, accepted.
  • A. Ayad, M. Renner, A. Schmeink, "Improving the Communication and Computation Efficiency of Split Learning for IoT Applications", Globecom SAC MLC, 2021, accepted.
  • X. Yuan, Y. Zhu, J. Hao, Y. Hu, A. Schmeink, "Data Freshness Optimization in Relaying Network Operating with Finite Blocklength Codes", Globecom IoTSN, 2021, accepted.
  • P. Zheng, Y. Zhu, Z. Zhang, Y. Hu, A. Schmeink, "Federated Learning in Heterogeneous Networks with Unreliable Communication", 2021 IEEE Globecom Workshops, accepted.
  • R. Lipp, G. Dartmann, L. Fazlic, T. Vollmer, S. Winter, A. Peine, L. Martin and A. Schmeink, "Incremental Parameter Estimation of Stochastic State-Based Models," 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), Herl'any, Slovakia, 2021, pp. 000317-000322, doi: 10.1109/SAMI50585.2021.9378693. [ pdf | bib ]
  • L. B. Fazlic, A. Hallawa, M. Dziubany, M. Morgen, J. Schneider, M. Schach, A. Schmeink, L. Martin, A. Peine, T. Vollmer, S. Winter, G. Dartmann, "A Machine Learning Approach for the Classification of Disease Risks in Time Series", IEEE Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, June 2020.
  • R. Machhamer, M. Garling, L. Czenkusch, K. Ueding, A. Guldner, J. Schneider, A. Latif, A. Schmeink, S. Naumann, K. Gollmer, G. Dartmann, "Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks", IEEE Mediterranean Conference on Embedded Computing (MECO), June 2020.
  • R. Machhamer, J. Altenhofer, K. Ueding, L. Czenkusch, F. Stolz, M. Harth, M. Mattern, A. Latif, S. H. J. Herrmann, K. Gollmer, G. Dartmann, "Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection", IEEE Mediterranean Conference on Embedded Computing (MECO), June 2020.
  • M. Dziubany, J. Schneider, A. Schmeink, G. Dartmann, "Optimization of a CPSS based Flexible Transportation System", IEEE Mediterranean Conference on Embedded Computing (MECO), June 2020. [ pdf | bib ]
  • Y. Zhu, T.Yang, Y.Hu, W.Gao and A. Schmeink, "Optimal-Delay-Guaranteed Energy Efficient Cooperative Offloading in VEC Networks", 2020 IEEE Global Communications Conference (GLOBECOM), accepted.
  • Q. He, P. Zheng, Y. Zhu, Y. Hu and A. Schmeink, "Multi-Device Low-Latency Internet of Things Networks with Blind Retransmissions in the Finite Blocklength Regime", IEEE PIMRC, Workshop on 5G Mobile Communication System for Smart Factories, 2020, accepted.
  • M. Dziubany, L. Creutz, S. Kopp, J. Schneider, A. Schmeink and G. Dartmann, "Development of a Cyber-Physical System for an Autonomous Indoor Transportation Service", In proceedings IEEE CPS & IoT, 2020. [ pdf | bib ]
  • Qinwei He, Katrin Gartenmeister, Yao Zhu, Yulin Hu, Anke Schmeink, " Goodput Maximization in Slotted ALOHANetworks Operating with Finite Blocklength Codes", 2020 IEEE Globecom Workshops (GC Wkshps, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GCWkshps50303.2020.9367439).

 

 

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