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Latest publications

Recent publications by the Division of Information Science and Engineering.

[1]
N. Qi et al., "A Learning-Based Spectrum Access Stackelberg Game : Friendly Jammer-Assisted Communication Confrontation," IEEE Transactions on Vehicular Technology, vol. 70, no. 1, pp. 700-713, 2021.
[2]
A. Zamanisiboni, T. J. Oechtering and M. Skoglund, "A Design Framework for Strongly chi(2)-Private Data Disclosure," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2312-2325, 2021.
[3]
M. Barforooshan et al., "The Effect of Time Delay on the Average Data Rate and Performance in Networked Control Systems," IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 16-31, 2022.
[4]
M. Maros and J. Jaldén, "A Geometrically Converging Dual Method for Distributed Optimization Over Time-Varying Graphs," IEEE Transactions on Automatic Control, vol. 66, no. 6, pp. 2465-2479, 2021.
[5]
X. Yao et al., "A Novel Hybrid Code-Domain Index Modulation Scheme," IEEE Communications Letters, vol. 25, no. 10, pp. 3403-3407, 2021.
[6]
Y. Zhang et al., "Monocular Visual-Inertial and Robotic-Arm Calibration in a Unifying Framework," IEEE/CAA journal of automatica sinica, vol. 9, no. 1, pp. 146-159, 2022.
[7]
B. Ciftci et al., "Wireless Control of Modular Multilevel Converter Submodules With Communication Errors," IEEE transactions on industrial electronics (1982. Print), pp. 11644-11653, 2022.
[8]
S. Huang, M. Xiao and H. V. Poor, "Achievable Rate Analysis of Millimeter Wave Channels Using Random Coding Error Exponents," IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 250-263, 2022.
[10]
F. Xie et al., "Weighted Voting in Physical Layer Authentication for Industrial Wireless Edge Networks," IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp. 2796-2806, 2022.
[11]
A. Zamani, T. J. Oechtering and M. Skoglund, "Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix," IEEE Transactions on Information Forensics and Security, vol. 17, pp. 165-179, 2022.
[12]
T. Tanaka, H. Sandberg and M. Skoglund, "Transfer-Entropy-Regularized Markov Decision Processes," IEEE Transactions on Automatic Control, pp. 1944-1951, 2022.
[13]
K. H. Forssell and R. Thobaben, "Worst-Case Detection Performance for Distributed SIMO Physical Layer Authentication," IEEE Transactions on Communications, vol. 70, no. 1, pp. 485-499, 2022.
[14]
P. A. Stavrou and M. Skoglund, "New Formulation and Computation of NRDF for Time-Varying Multivariate Gaussian Processes with Correlated Noise," IEEE Control Systems Letters, vol. 6, pp. 331-336, 2022.
[15]
L. Pellaco, M. Bengtsson and J. Jalden, "Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm," IEEE Open Journal of the Communications Society, vol. 3, pp. 65-81, 2022.
[16]
F. Rezaei et al., "Performance Analysis of Heterogeneous Cellular Caching Networks With Overlapping Small Cells," IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1941-1951, 2022.
[17]
V. Saxena, H. Tullberg and J. Jaldén, "Reinforcement Learning for Efficient and Tuning-Free Link Adaptation," IEEE Transactions on Wireless Communications, vol. 21, no. 2, pp. 768-780, 2022.
[18]
M. Wu et al., "Time Allocation and Mode Selection for Secure Communications in Internet of Things," IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3743-3755, 2022.
[19]
H. Carlsson, "Inertial Sensor Arrays : Sensor Fusion and Calibration," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:19, 2022.
[20]
Y. You et al., "On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems," IEEE Internet of Things Journal, pp. 1-1, 2022.
[21]
H. Chen, "Reliable and Efficient Distributed Machine Learning," Doctoral thesis : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2022:18, 2022.
[22]
M. O. Olguín Muñoz, N. Roy and J. Gross, "CLEAVE : scalable and edge-native benchmarking of networked control systems," in EdgeSys '22 : Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, 2022, pp. 37-42.
[23]
J. Feng et al., "Task Scheduling and Resource Management in MEC-Enabled Computing Networks," in Mobile Networks And Management, MONAMI 2021, 2022, pp. 127-137.
[25]
H. Chen et al., "Federated Learning over Wireless IoT Networks with Optimized Communication and Resources," IEEE Internet of Things Journal, pp. 1-1, 2022.
[26]
P. A. Stavrou and M. Skoglund, "Asymptotic Reverse Waterfilling Algorithm of NRDF for Certain Classes of Vector Gauss-Markov Processes," IEEE Transactions on Automatic Control, vol. 67, no. 6, pp. 3196-3203, 2022.
[27]
M. Zhan et al., "Noise Error Pattern Generation Based on Successive Addition-Subtraction for GRAND-MO," IEEE Communications Letters, vol. 26, no. 4, pp. 743-747, 2022.
[28]
H. B. Celebi, A. Pitarokoilis and M. Skoglund, "A Multi-Objective Optimization Framework for URLLC With Decoding Complexity Constraints," IEEE Transactions on Wireless Communications, vol. 21, no. 4, pp. 2786-2798, 2022.
[29]
Q. Zhu et al., "Intelligent Reflecting Surface Aided Wireless Networks : Dynamic User Access and System Sum-Rate Maximization," IEEE Transactions on Communications, vol. 70, no. 4, pp. 2870-2881, 2022.
[30]
[31]
M. Norman, H. Aytug and H. B. Celebi, "Evaluation of a new transcutaneous bilirubinometer in newborn infants," Scientific Reports, vol. 12, no. 1, 2022.
[32]
W. Liao et al., "A Review of Graph Neural Networks and Their Applications in Power Systems," Journal of Modern Power Systems and Clean Energy, vol. 10, no. 2, pp. 345-360, 2022.
[33]
P. Borpatra Gohain and M. Jansson, "New Improved Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models," in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 5692-5696.
[34]
A. Karlsson, M. Jansson and M. Hämäläinen, "Model-Aided Drone Classification Using Convolutional Neural Networks," in IEEE Radar Conference (RadarConf22), 2022, pp. 1-6.
[35]
B. A. Mouris et al., "Glide Symmetry Applied to Printed Common-Mode Rejection Filters," IEEE transactions on microwave theory and techniques, vol. 70, no. 2, pp. 1198-1210, 2022.
[36]
B. A. N. Mouris, "Wirelessly Powered Communications: From Signal Optimization to Antenna Design," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:36, 2022.
[37]
W. Lei, "A study of wireless communications with reinforcement learning," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:26, 2022.
[38]
R. R. Avula and T. J. Oechtering, "Privacy-Enhancing Appliance Filtering For Smart Meters," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
[39]
H. Chen, M. Xiao and Z. Pang, "Satellite-Based Computing Networks with Federated Learning," IEEE wireless communications, vol. 29, no. 1, pp. 78-84, 2022.
[40]
W. Lei et al., "Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications : A Parallel Reinforcement Learning Approach," IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 3, pp. 447-459, 2022.
[41]
B. A. Mouris, F. Stavrou and R. Thobaben, "Optimizing Low-Complexity Analog Mappings for Low-Power Sensors with Energy Scheduling Capabilities," IEEE Internet of Things Journal, pp. 1-1, 2022.
[42]
S. Katsarou, B. Rodríguez Gálvez and J. Shanahan, "Measuring Gender Bias in Contextualized Embeddings," in Computer Sciences and Mathematics Forum, 2022.
[43]
Y. You, "Intelligent System Designs : Data-driven Sensor Calibration & Smart Meter Privacy," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:42, 2022.
[44]
J. P. Champati et al., "Detecting State Transitions of a Markov Source : Sampling Frequency and Age Trade-off," IEEE Transactions on Communications, vol. 70, no. 5, pp. 3081-3095, 2022.
[45]
L. Qian et al., "Distributed Learning for Wireless Communications : Methods, Applications and Challenges," IEEE Journal on Selected Topics in Signal Processing, vol. 16, no. 3, pp. 326-342, 2022.
[46]
P. Yang et al., "Editorial : Introduction to the Issue on Distributed Machine Learning for Wireless Communication," IEEE Journal on Selected Topics in Signal Processing, vol. 16, no. 3, pp. 320-325, 2022.
[47]
S. Zoppi et al., "Scheduling of Wireless Edge Networks for Feedback-Based Interactive Applications," IEEE Transactions on Communications, vol. 70, no. 5, pp. 3295-3309, 2022.
[49]
P. Wei et al., "Charactering the Peak-to-Average Power Ratio of OTFS Signals : A Large System Analysis," IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 3705-3720, 2022.
[50]
T. Van Chien et al., "Reconfigurable Intelligent Surface-Assisted Massive MIMO : Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]," IEEE signal processing magazine (Print), vol. 39, no. 3, pp. 97-104, 2022.
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Belongs to: Information Science and Engineering
Last changed: Jan 04, 2019