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Latest publications

Recent publications by the Division of Information Science and Engineering.

[1]
Y. You, Q. Xu and C. Fischione, "Hierarchical Online Game-Theoretic Framework for Real-Time Energy Trading in Smart Grid," IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 1634-1645, 2024.
[2]
C. Zeng et al., "Task-Oriented Semantic Communication over Rate Splitting Enabled Wireless Control Systems for URLLC Services," IEEE Transactions on Communications, vol. 72, no. 2, pp. 722-739, 2024.
[3]
B. Rodríguez Gálvez, "An Information-Theoretic Approach to Generalization Theory," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:31, 2024.
[4]
B. Vundurthy et al., "Intelligent Players in a Fictitious Play Framework," IEEE Transactions on Automatic Control, vol. 69, no. 1, pp. 479-486, 2024.
[5]
R. R. Avula, T. J. Oechtering and D. Månsson, "Adversarial Inference Control in Cyber-Physical Systems : A Bayesian Approach With Application to Smart Meters," IEEE Access, vol. 12, pp. 24933-24948, 2024.
[6]
S. Das et al., "IMU-based Online Multi-lidar Calibration," (Manuscript).
[7]
V. N. Moothedath, J. P. Champati and J. Gross, "Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge," IEEE Transactions on Machine Learning in Communications and Networking, pp. 1-1, 2024.
[8]
S. Das, "State estimation with auto-calibrated sensor setup," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:8, 2024.
[9]
S. Saeidian, "Pointwise Maximal Leakage : Robust, Flexible and Explainable Privacy," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:7, 2024.
[10]
A. Ghosh et al., "DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models," Automatica, vol. 159, 2024.
[11]
S. S. Mostafavi et al., "ExPECA : An Experimental Platform for Trustworthy Edge Computing Applications," in 2023 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING, SEC 2023, 2023, pp. 294-299.
[12]
S. S. Mostafavi, G. P. Sharma and J. Gross, "Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities," in GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023, pp. 4338-4344.
[13]
S. S. Mostafavi et al., "Active Queue Management with Data-Driven Delay Violation Probability Predictors," in GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023, pp. 6371-6376.
[14]
X. Liang and X. Ma, "AVIATOR: fAst Visual Perception and Analytics for Drone-Based Traffic Operations," in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 2959-2964.
[15]
Y. Zhao et al., "Intelligent Multi-peak Beam Training in mmWave Communications with Deep Neural Networks," in 2023 IEEE 15th International Conference on Wireless Communications and Signal Processing, WCSP 2023, 2023, pp. 552-556.
[16]
C. N. Mavridis et al., "Attack Identification for Cyber-Physical Security in Dynamic Games under Cognitive Hierarchy," in Ifac-Papersonline, 2023, pp. 11223-11228.
[17]
A. Zamani et al., "Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage," in 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, 2023, pp. 247-254.
[18]
S. Daei et al., "Blind Asynchronous Goal-Oriented Detection for Massive Connectivity," in 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, 2023, pp. 167-174.
[19]
C. Chen et al., "A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks," Chinese journal of electronics, vol. 32, no. 6, pp. 1179-1191, 2023.
[20]
L. Zhang et al., "Intelligent Cloud-Edge Collaborations Assisted Energy-Efficient Power Control in Heterogeneous Networks," IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7743-7755, 2023.
[21]
A. Karlsson, M. Jansson and M. Hamalainen, "Data Driven Track Before Detect Using Artificial Neural Networks," in 2023 IEEE International Radar Conference, RADAR 2023, 2023.
[22]
A. Karlsson, M. Jansson and M. Hamalainen, "Anomaly-Based Drone Classification Using a Model Trained Convolutional Neural Network Autoencoder on Radar Micro-Doppler," in 2023 IEEE International Radar Conference, RADAR 2023, 2023.
[23]
W. Shan et al., "Deep Spatio-temporal Beam Training for mmWave Communications with Human Self-blockage," in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings, 2023.
[24]
D. Shi et al., "Beam Structured Signal Detection for HF Skywave Massive MIMO Communications," in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings, 2023.
[25]
Q. Shen et al., "CNN-Based Estimation of Water Depth from Multispectral Drone Imagery for Mosquito Control," in 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings, 2023, pp. 3250-3254.
[26]
Y. Khorsandmanesh, E. Björnson and J. Jaldén, "Fronthaul Quantization-Aware MU-MIMO Precoding for Sum Rate Maximization," in ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance, 2023, pp. 1332-1337.
[27]
W. Shi et al., "Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning," in 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications: 6G The Next Horizon - From Connected People and Things to Connected Intelligence, PIMRC 2023, 2023.
[28]
T. Ma et al., "Integrated Sensing and Communication for Wireless Extended Reality (XR) With Reconfigurable Intelligent Surface," IEEE Journal on Selected Topics in Signal Processing, vol. 17, no. 5, pp. 980-994, 2023.
[29]
S. Zhang et al., "An Energy-Efficient Continuous Deployment Scheme for UAV-D2D Networks," in ICC 2023 : IEEE International Conference on Communications: Sustainable Communications for Renaissance, 2023, pp. 222-227.
[30]
A. Honore, A. Ghosh and S. Chatterjee, "Compressed Sensing of Generative Sparse-Latent (GSL) Signals," in 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings, 2023, pp. 1918-1922.
[31]
Y. Zhang et al., "GCMVF-AGV : Globally Consistent Multiview Visual-Inertial Fusion for AGV Navigation in Digital Workshops," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
[32]
J. Kipen and J. Jaldén, "Beam search decoder for enhancing sequence decoding speed in single-molecule peptide sequencing data," PloS Computational Biology, vol. 19, no. 11, 2023.
[33]
Y. Wang and M. Xiao, "Distributed Optimal Energy Dispatch for Networked Microgrids with Federated Reinforcement Learning," in 2023 IEEE Power and Energy Society General Meeting, PESGM 2023, 2023.
[34]
X. Ma et al., "Cooperative Beamforming for RIS-Aided Cell-Free Massive MIMO Networks," IEEE Transactions on Wireless Communications, pp. 1-1, 2023.
[35]
Y. Liu et al., "Coordinated Multi-Beam Transmissions for Reliable Millimeter-Wave Communications with Independent and Correlated Blockages," IEEE Wireless Communications Letters, vol. 12, no. 9, pp. 1523-1527, 2023.
[36]
X. Liang et al., "DeePMOS : Deep Posterior Mean-Opinion-Score of Speech," in Interspeech 2023, 2023, pp. 526-530.
[37]
H. Chen et al., "Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning," IEEE Transactions on Big Data, vol. 9, no. 4, pp. 1252-1259, 2023.
[38]
J. Kipen et al., "Efficient Implementation of Robust CUSUM Algorithm to Characterize Nanogaps Measurements with Heavy-Tailed Noise," in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, pp. 1-5.
[39]
N. Qi et al., "A Task-Driven Sequential Overlapping Coalition Formation Game for Resource Allocation in Heterogeneous UAV Networks," IEEE Transactions on Mobile Computing, vol. 22, no. 8, pp. 4439-4455, 2023.
[40]
J. Zhang et al., "A Cooperation-Free Resource Allocation Algorithm Enhanced by Reinforcement Learning for Coexisting IIoTs," in 2023 IEEE 19th International Workshop on Factory Communication Systems, WFCS 2023, 2023.
[41]
A.-D. Marcu et al., "Explainable Artificial Intelligence for Energy-Efficient Radio Resource Management," in 2023 IEEE Wireless Communications And Networking Conference, WCNC, 2023.
[42]
M. Lenninger et al., "Are single-peaked tuning curves tuned for speed rather than accuracy?," eLIFE, vol. 12, 2023.
[43]
Y. Huang et al., "A Novel Maximum Distance Separable Coded OFDM-RIS for 6G Wireless Communications," IEEE Wireless Communications Letters, vol. 12, no. 5, pp. 927-931, 2023.
[44]
A. Rosén, E. Liedholm Johnson and J. Jaldén, "Evaluating and Enhancing the Status of Sustainability in Engineering Education," in Proceedings of the 19th International CDIO Conference, 2023, pp. 29-42.
[45]
M. O. J. Olguín Muñoz, "An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:50, 2023.
[46]
S. Mao et al., "Intelligent Reflecting Surface-Aided Wireless Powered Hybrid Backscatter-Active Communication Networks," IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1383-1388, 2023.
[47]
T. Ma et al., "Distributed Reconfigurable Intelligent Surfaces Assisted Indoor Positioning," IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 47-58, 2023.
[48]
M. Mylonakis, "Empirical Coordination over Networks Subject to Fidelity Criteria," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:18, 2023.
[49]
A. E. Fontcuberta et al., "Forecasting Solar Cycle 25 with Physical Model-Validated Recurrent Neural Networks," Solar Physics, vol. 298, no. 1, 2023.
[50]
S. Kant et al., "Federated Learning Using Three-Operator ADMM," IEEE Journal on Selected Topics in Signal Processing, vol. 17, no. 1, pp. 205-221, 2023.
Full list in the KTH publications portal