Latest publications
Recent publications by the Division of Information Science and Engineering.
[1]
T. Ma et al.,
"Distributed Reconfigurable Intelligent Surfaces Assisted Indoor Positioning,"
IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 47-58, 2023.
[2]
H. Ghourchian,
"On Secure and Sequential Source Coding,"
Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:20, 2023.
[3]
M. Mylonakis,
"Empirical Coordination over Networks Subject to Fidelity Criteria,"
Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:18, 2023.
[4]
A. E. Fontcuberta et al.,
"Forecasting Solar Cycle 25 with Physical Model-Validated Recurrent Neural Networks,"
Solar Physics, vol. 298, no. 1, 2023.
[5]
Y. You, Z. Li and T. J. Oechtering,
"Non-Cooperative Games for Privacy-Preserving and Cost-Efficient Smart Grid Energy Management,"
IEEE Transactions on Information Forensics and Security, vol. 18, pp. 423-434, 2023.
[6]
M. Wu et al.,
"Design of Reconfigurable Intelligent Surface-Aided Cross-Media Communications,"
IEEE Transactions on Communications, vol. 70, no. 12, pp. 8433-8447, 2022.
[7]
L. Miguel Lopez and M. Bengtsson,
"Achievable Rates of Orthogonal Time Frequency Space (OTFS) Modulation in High Speed Railway Environments,"
in 2022 IEEE 33RD ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2022, pp. 982-987.
[8]
L. Pellaco and J. Jaldén,
"A Matrix-Inverse-Free Implementation of the MU-MIMO WMMSE Beamforming Algorithm,"
IEEE Transactions on Signal Processing, vol. 70, pp. 6360-6375, 2022.
[9]
P. del Aguila Pla, A. Boquet-Pujadas and J. Jaldén,
"Convex Quantization Preserves Logconcavity,"
IEEE Signal Processing Letters, vol. 29, pp. 2697-2701, 2022.
[10]
V. N. Moothedath,
"Energy-Optimal Sampling for Edge Computing Feedback Systems : Aperiodic Case,"
in 2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022), 2022, pp. 322-328.
[11]
D. Zhang, M. Xiao and M. Skoglund,
"Beam Tracking for Dynamic mmWave Channels : A New Training Beam Sequence Design Approach,"
in 2022 20TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT 2022), 2022, pp. 276-282.
[12]
L. Zhang et al.,
"Enabling Real-Time Quality-of-Service and Fine-Grained Aggregation for Wireless TSN,"
Sensors, vol. 22, no. 10, 2022.
[13]
A. Zamani, T. J. Oechtering and M. Skoglund,
"Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage,"
in 2022 IEEE INFORMATION THEORY WORKSHOP (ITW), 2022, pp. 13-18.
[14]
S. Kant et al.,
"Federated Learning Using Three-Operator ADMM,"
IEEE Journal on Selected Topics in Signal Processing, pp. 1-16, 2022.
[15]
W. Lei et al.,
"Adaptive Beam Sweeping With Supervised Learning,"
IEEE Wireless Communications Letters, vol. 11, no. 12, pp. 2650-2654, 2022.
[16]
A. Gouverneur et al.,
"An Information-Theoretic Analysis of Bayesian Reinforcement Learning,"
in 2022 58Th Annual Allerton Conference On Communication, Control, And Computing (ALLERTON), 2022.
[17]
V. N. Moothedath, J. P. Champati and J. Gross,
"Energy Efficient Sampling Policies for Edge Computing Feedback Systems,"
IEEE Transactions on Mobile Computing, pp. 1-1, 2022.
[18]
J. Peng et al.,
"Deep Reinforcement Learning for Energy-Efficient Power Control in Heterogeneous Networks,"
in ICC 2022 - IEEE International Conference on Communications, 2022, pp. 141-146.
[19]
D. Zhang et al.,
"Broadband Over-the-Air Computation for Federated Learning in Industrial IoT,"
in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022.
[20]
D. Zhang, M. Xiao and M. Skoglund,
"Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach,"
in 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2022, pp. 276-282.
[21]
W. Shiheng et al.,
"Chunked BATS Codes under Time-invariant and Time-variant Channels,"
in 2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022.
[22]
Y. Ju et al.,
"DRL-based Beam Allocation in Relay-aided Multi-user MmWave Vehicular Networks,"
in IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2022.
[23]
W. Löffler and M. Bengtsson,
"Evaluating the Impact of Map Inaccuracies on Path Discrimination Behind Railway Turnouts,"
in 95th IEEE Vehicular Technology Conference - Spring, VTC 2022, 2022.
[24]
W. Lei et al.,
"FDI Attack Detection at the Edge of Smart Grids Based on Classification of Predicted Residuals,"
IEEE Transactions on Industrial Informatics, vol. 18, no. 12, pp. 9302-9311, 2022.
[25]
A. Bhattacharya et al.,
"Fast and Efficient Online Selection of Sensors for Transmitter Localization,"
in 2022 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 2022, pp. 604-612.
[26]
S. Kant et al.,
"EVM Mitigation with PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM,"
IEEE Transactions on Wireless Communications, pp. 1-1, 2022.
[27]
E. Nekouei et al.,
"A Model Randomization Approach to Statistical Parameter Privacy,"
IEEE Transactions on Automatic Control, pp. 1-1, 2022.
[28]
M. Xiao and M. Skoglund,
"Coding for Large-Scale Distributed Machine Learning,"
Entropy, vol. 24, no. 9, pp. 1284, 2022.
[29]
Y. Zhu et al.,
"Energy Minimization of Mobile Edge Computing Networks With HARQ in the Finite Blocklength Regime,"
IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7105-7120, 2022.
[30]
Y. Huang et al.,
"Designing Low-PAPR Waveform for OFDM-Based RadCom Systems,"
IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 6979-6993, 2022.
[31]
W. Liao et al.,
"Data-driven Missing Data Imputation for Wind Farms Using Context Encoder,"
Journal of Modern Power Systems and Clean Energy, vol. 10, no. 4, pp. 964-976, 2022.
[32]
S. Sinha et al.,
"A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting : Identifying High-performing Active Region Flare Indicators,"
Astrophysical Journal, vol. 935, no. 1, 2022.
[33]
H. Niu et al.,
"Artificial Noise Elimination : From the Perspective of Eavesdroppers,"
IEEE Transactions on Communications, vol. 70, no. 7, pp. 4745-4754, 2022.
[34]
S. Wang, P. A. Stavrou and M. Skoglund,
"Generalizations of Talagrand Inequality for Sinkhorn Distance Using Entropy Power Inequality,"
Entropy, vol. 24, no. 2, pp. 306, 2022.
[35]
M. Hosseini, R. Ghazizadeh and H. Farhadi,
"Game theory-based radio resource allocation in NOMA vehicular communication networks supported by UAV,"
Physical Communication, vol. 52, pp. 101681, 2022.
[36]
A. Mele et al.,
"Fluid accumulation and major adverse kidney events in sepsis : a multicenter observational study,"
Annals of Intensive Care, vol. 12, no. 1, 2022.
[37]
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.
[38]
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.
[39]
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.
[40]
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.
[41]
W. Lei,
"A study of wireless communications with reinforcement learning,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:26, 2022.
[42]
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.
[43]
M. Norman, H. Aytug and H. B. Celebi,
"Evaluation of a new transcutaneous bilirubinometer in newborn infants,"
Scientific Reports, vol. 12, no. 1, 2022.
[44]
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.
[45]
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.
[46]
H. Chen et al.,
"Federated Learning over Wireless IoT Networks with Optimized Communication and Resources,"
IEEE Internet of Things Journal, pp. 1-1, 2022.
[47]
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.
[48]
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.
[49]
X. Liang et al.,
"Decentralized learning of randomization-based neural networks with centralized equivalence,"
Applied Soft Computing, vol. 115, 2022.
[50]
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.