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Mikael Johansson 0001
Person information
- affiliation: KTH Royal Institute of Technology, Stockholm, Sweden
- affiliation (PhD 1999): University of Lund, Sweden
Other persons with the same name
- Mikael Johansson — disambiguation page
- Mikael Johansson 0002 — Lund University, Department of Psychology, Sweden
- Mikael Johansson 0003 — Chalmers University of Technology, Gothenburg, Sweden
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2020 – today
- 2024
- [c124]Jiaojiao Zhang, Jiang Hu, Mikael Johansson:
Composite Federated Learning with Heterogeneous Data. ICASSP 2024: 8946-8950 - [c123]Jiaojiao Zhang, Dominik Fay, Mikael Johansson:
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. ICASSP 2024: 9461-9465 - [i57]Hamed Taghavian, Florian Dörfler, Mikael Johansson:
Optimal control of continuous-time symmetric systems with unknown dynamics and noisy measurements. CoRR abs/2403.13605 (2024) - [i56]Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson:
Differentially Private Online Federated Learning with Correlated Noise. CoRR abs/2403.16542 (2024) - [i55]Hamed Taghavian, Malin Andersson, Mikael Johansson:
Model-free fast charging of lithium-ion batteries by online gradient descent. CoRR abs/2405.10623 (2024) - [i54]Mikael Johansson, Hamed Taghavian:
Stable MPC with maximal terminal sets and quadratic terminal costs. CoRR abs/2406.02760 (2024) - [i53]Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson:
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. CoRR abs/2406.08465 (2024) - 2023
- [j64]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
Distributed safe resource allocation using barrier functions. Autom. 153: 111051 (2023) - [j63]Hamed Taghavian, Ross Drummond, Mikael Johansson:
Logarithmically completely monotonic rational functions. Autom. 155: 111122 (2023) - [j62]Hamid Reza Feyzmahdavian, Mikael Johansson:
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees. J. Mach. Learn. Res. 24: 158:1-158:75 (2023) - [j61]Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. IEEE Netw. 37(5): 240-246 (2023) - [j60]Hamed Taghavian, Mikael Johansson:
External Positivity of Discrete-Time Linear Systems: Transfer Function Conditions and Output Feedback. IEEE Trans. Autom. Control. 68(11): 6649-6663 (2023) - [j59]Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson:
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [j58]Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
Improved Step-Size Schedules for Proximal Noisy Gradient Methods. IEEE Trans. Signal Process. 71: 189-201 (2023) - [c122]Hamed Taghavian, Mikael Johansson:
Non-Overshooting Tracking Controllers Based on Combinatorial Polynomials. CDC 2023: 677-684 - [c121]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-Agnostic Asynchronous Distributed Optimization. CDC 2023: 1082-1087 - [c120]Xiaoyu Wang, Mikael Johansson, Tong Zhang:
Generalized Polyak Step Size for First Order Optimization with Momentum. ICML 2023: 35836-35863 - [c119]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML 2023: 37582-37606 - [c118]Jacob Lindbäck, Zesen Wang, Mikael Johansson:
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs. NeurIPS 2023 - [i52]Hamed Taghavian, Ross Drummond, Mikael Johansson:
Logarithmically Completely Monotonic Rational Functions. CoRR abs/2302.08773 (2023) - [i51]Jacob Lindbäck, Zesen Wang, Mikael Johansson:
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs. CoRR abs/2305.18483 (2023) - [i50]Jiaojiao Zhang, Dominik Fay, Mikael Johansson:
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. CoRR abs/2308.01139 (2023) - [i49]Jiaojiao Zhang, Jiang Hu, Mikael Johansson:
Composite federated learning with heterogeneous data. CoRR abs/2309.01795 (2023) - [i48]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Asynchronous Distributed Optimization with Delay-free Parameters. CoRR abs/2312.06508 (2023) - [i47]Hamed Taghavian, Ross Drummond, Mikael Johansson:
When are selector control strategies optimal for constrained monotone systems? CoRR abs/2312.08829 (2023) - 2022
- [j57]Martin Biel, Mikael Johansson:
Efficient Stochastic Programming in Julia. INFORMS J. Comput. 34(4): 1885-1902 (2022) - [c117]Hamed Taghavian, Mikael Johansson:
Transient performance of linear systems through symmetric polynomials. CDC 2022: 4218-4223 - [c116]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Optimal convergence rates of totally asynchronous optimization. CDC 2022: 6484-6490 - [c115]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Eco-Fedsplit: Federated Learning with Error-Compensated Compression. ICASSP 2022: 5952-5956 - [c114]Vien V. Mai, Jacob Lindbäck, Mikael Johansson:
A fast and accurate splitting method for optimal transport: analysis and implementation. ICLR 2022 - [c113]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-Adaptive Step-sizes for Asynchronous Learning. ICML 2022: 24093-24113 - [i46]Xiaoyu Wang, Mikael Johansson:
On Uniform Boundedness Properties of SGD and its Momentum Variants. CoRR abs/2201.10245 (2022) - [i45]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-adaptive step-sizes for asynchronous learning. CoRR abs/2202.08550 (2022) - [i44]Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. CoRR abs/2211.00767 (2022) - 2021
- [j56]Hamed Taghavian, Mikael Johansson:
Preservation of external positivity in discretization of linear systems. Eur. J. Control 62: 69-74 (2021) - [j55]Erik Berglund, Sindri Magnússon, Mikael Johansson:
Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence? IEEE Signal Process. Lett. 28: 1180-1184 (2021) - [j54]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Compressed Gradient Methods With Hessian-Aided Error Compensation. IEEE Trans. Signal Process. 69: 998-1011 (2021) - [c112]Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson:
A Flexible Framework for Communication-Efficient Machine Learning. AAAI 2021: 8101-8109 - [c111]Hamed Taghavian, Ross Drummond, Mikael Johansson:
Pole-placement for non-overshooting reference tracking. CDC 2021: 414-421 - [c110]Martin Biel, Vien V. Mai, Mikael Johansson:
A Fast Smoothing Procedure for Large-Scale Stochastic Programming. CDC 2021: 2394-2399 - [c109]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
A New Family of Feasible Methods for Distributed Resource Allocation. CDC 2021: 3355-3360 - [c108]Max Åstrand, Mikael Johansson, Hamid Reza Feyzmahdavian:
Short-Term Scheduling of Production Fleets in Underground Mines Using CP-Based LNS. CPAIOR 2021: 365-382 - [c107]Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
Improved Step-Size Schedules for Noisy Gradient Methods. ICASSP 2021: 3655-3659 - [c106]Vien V. Mai, Mikael Johansson:
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness. ICML 2021: 7325-7335 - [c105]Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
On the Convergence of Step Decay Step-Size for Stochastic Optimization. NeurIPS 2021: 14226-14238 - [i43]Vien V. Mai, Mikael Johansson:
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness. CoRR abs/2102.06489 (2021) - [i42]Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
On the Convergence of Step Decay Step-Size for Stochastic Optimization. CoRR abs/2102.09393 (2021) - [i41]Xiaoyu Wang, Mikael Johansson:
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization. CoRR abs/2106.02888 (2021) - [i40]Hamid Reza Feyzmahdavian, Mikael Johansson:
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees. CoRR abs/2109.04522 (2021) - [i39]Vien V. Mai, Jacob Lindbäck, Mikael Johansson:
A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation. CoRR abs/2110.11738 (2021) - 2020
- [j53]Max Åstrand, Mikael Johansson, Alessandro Zanarini:
Underground mine scheduling of mobile machines using Constraint Programming and Large Neighborhood Search. Comput. Oper. Res. 123: 105036 (2020) - [j52]Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat:
Advances in Asynchronous Parallel and Distributed Optimization. Proc. IEEE 108(11): 2013-2031 (2020) - [c104]Malin Andersson, Mikael Johansson, Verena Löfqvist Klass:
A Continuous-Time LPV Model for Battery State-of-health Estimation Using Real Vehicle Data. CCTA 2020: 692-698 - [c103]Max Åstrand, Mikael Johansson:
A Neighborhood Selection Strategy for Production Scheduling using CP and LNS. ETFA 2020: 1183-1186 - [c102]Vien V. Mai, Mikael Johansson:
Anderson Acceleration of Proximal Gradient Methods. ICML 2020: 6620-6629 - [c101]Vien V. Mai, Mikael Johansson:
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization. ICML 2020: 6630-6639 - [i38]Vien V. Mai, Mikael Johansson:
Convergence of a Stochastic Gradient Method with Momentum for Nonsmooth Nonconvex Optimization. CoRR abs/2002.05466 (2020) - [i37]Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat:
Advances in Asynchronous Parallel and Distributed Optimization. CoRR abs/2006.13838 (2020)
2010 – 2019
- 2019
- [j51]Demia Della Penda, Andrea Abrardo, Marco Moretti, Mikael Johansson:
Distributed Channel Allocation for D2D-Enabled 5G Networks Using Potential Games. IEEE Access 7: 11195-11208 (2019) - [j50]Themistoklis Charalambous, Su Min Kim, Nikolaos Nomikos, Mats Bengtsson, Mikael Johansson:
Relay-pair selection in buffer-aided successive opportunistic relaying using a multi-antenna source. Ad Hoc Networks 84: 29-41 (2019) - [j49]Martin Biel, Arda Aytekin, Mikael Johansson:
POLO.Jl: Policy-based optimization algorithms in Julia. Adv. Eng. Softw. 136 (2019) - [j48]Vien V. Mai, Mikael Johansson:
Noisy Accelerated Power Method for Eigenproblems With Applications. IEEE Trans. Signal Process. 67(12): 3287-3299 (2019) - [j47]Demia Della Penda, Risto Wichman, Themistoklis Charalambous, Gábor Fodor, Mikael Johansson:
A Distributed Mode Selection Scheme for Full-Duplex Device-to-Device Communication. IEEE Trans. Veh. Technol. 68(10): 10267-10271 (2019) - [c100]Arda Aytekin, Mikael Johansson:
Exploiting Serverless Runtimes for Large-Scale Optimization. CLOUD 2019: 499-501 - [c99]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation. ICASSP 2019: 2857-2861 - [c98]Vien V. Mai, Mikael Johansson:
Nonlinear Acceleration of Constrained Optimization Algorithms. ICASSP 2019: 4903-4907 - [c97]Vien V. Mai, Mikael Johansson:
Curvature-Exploiting Acceleration of Elastic Net Computations. ICML 2019: 4294-4303 - [i36]Arda Aytekin, Mikael Johansson:
Harnessing the Power of Serverless Runtimes for Large-Scale Optimization. CoRR abs/1901.03161 (2019) - [i35]Vien V. Mai, Mikael Johansson:
Curvature-Exploiting Acceleration of Elastic Net Computations. CoRR abs/1901.08523 (2019) - [i34]Vien V. Mai, Mikael Johansson:
Noisy Accelerated Power Method for Eigenproblems with Applications. CoRR abs/1903.08742 (2019) - [i33]Martin Biel, Mikael Johansson:
Efficient Stochastic Programming in Julia. CoRR abs/1909.10451 (2019) - [i32]Vien V. Mai, Mikael Johansson:
Anderson Acceleration of Proximal Gradient Methods. CoRR abs/1910.08590 (2019) - 2018
- [j46]Nikolaos Nomikos, Dimitrios Poulimeneas, Themistoklis Charalambous, Ioannis Krikidis, Demosthenes Vouyioukas, Mikael Johansson:
Delay- and Diversity-Aware Buffer-Aided Relay Selection Policies in Cooperative Networks. IEEE Access 6: 73531-73547 (2018) - [j45]Hamid Reza Feyzmahdavian, Bart Besselink, Mikael Johansson:
Stability Analysis of Monotone Systems via Max-Separable Lyapunov Functions. IEEE Trans. Autom. Control. 63(3): 643-656 (2018) - [j44]Mohammad Sadegh Talebi, Zhenhua Zou, Richard Combes, Alexandre Proutière, Mikael Johansson:
Stochastic Online Shortest Path Routing: The Value of Feedback. IEEE Trans. Autom. Control. 63(4): 915-930 (2018) - [j43]Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo, Mikael Johansson:
Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control. IEEE Trans. Control. Netw. Syst. 5(3): 1275-1286 (2018) - [c96]Sarit Khirirat, Mikael Johansson, Dan Alistarh:
Gradient compression for communication-limited convex optimization. CDC 2018: 166-171 - [c95]Max Åstrand, Mikael Johansson, Alessandro Zanarini:
Fleet Scheduling in Underground Mines Using Constraint Programming. CPAIOR 2018: 605-613 - [c94]Dan Alistarh, Torsten Hoefler, Mikael Johansson, Nikola Konstantinov, Sarit Khirirat, Cédric Renggli:
The Convergence of Sparsified Gradient Methods. NeurIPS 2018: 5977-5987 - [c93]Martin Biel, Mikael Johansson:
Distributed L-shaped Algorithms in Julia. PAW-ATM@SC 2018: 57-69 - [i31]Dan Alistarh, Torsten Hoefler, Mikael Johansson, Sarit Khirirat, Nikola Konstantinov, Cédric Renggli:
The Convergence of Sparsified Gradient Methods. CoRR abs/1809.10505 (2018) - [i30]Arda Aytekin, Martin Biel, Mikael Johansson:
POLO: a POLicy-based Optimization library. CoRR abs/1810.03417 (2018) - 2017
- [j42]Mats Carlsson, Mikael Johansson, Jeffrey Larson:
Scheduling double round-robin tournaments with divisional play using constraint programming. Eur. J. Oper. Res. 259(3): 1180-1190 (2017) - [j41]Ioannis Tzortzis, Charalambos D. Charalambous, Themistoklis Charalambous, Christoforos N. Hadjicostis, Mikael Johansson:
Approximation of Markov Processes by Lower Dimensional Processes via Total Variation Metrics. IEEE Trans. Autom. Control. 62(3): 1030-1045 (2017) - [j40]Burak Demirel, Vijay Gupta, Daniel E. Quevedo, Mikael Johansson:
On the Trade-Off Between Communication and Control Cost in Event-Triggered Dead-Beat Control. IEEE Trans. Autom. Control. 62(6): 2973-2980 (2017) - [j39]Guodong Shi, Alexandre Proutière, Mikael Johansson, John S. Baras, Karl Henrik Johansson:
Emergent Behaviors Over Signed Random Dynamical Networks: Relative-State-Flipping Model. IEEE Trans. Control. Netw. Syst. 4(2): 369-379 (2017) - [j38]Demia Della Penda, Liqun Fu, Mikael Johansson:
Energy Efficient D2D Communications in Dynamic TDD Systems. IEEE Trans. Commun. 65(3): 1260-1273 (2017) - [c92]Vien V. Mai, Mikael Johansson:
Lock-free incremental coordinate descent. CDC 2017: 2275-2280 - [c91]Sarit Khirirat, Hamid Reza Feyzmahdavian, Mikael Johansson:
Mini-batch gradient descent: Faster convergence under data sparsity. CDC 2017: 2880-2887 - [c90]Demia Della Penda, Nikolaos Nomikos, Themistoklis Charalambous, Mikael Johansson:
Minimum Power Scheduling under Rician Fading in Full-Duplex Relay-Assisted D2D Communication. GLOBECOM Workshops 2017: 1-6 - [c89]Demia Della Penda, Riccardo Sven Risuleo, Patricio E. Valenzuela, Mikael Johansson:
Optimal Power Control for D2D Communications under Rician Fading: A Risk Theoretical Approach. GLOBECOM 2017: 1-6 - [i29]Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo, Mikael Johansson:
Optimal control of linear systems with limited control actions: threshold-based event-triggered control. CoRR abs/1701.04871 (2017) - [i28]Themistoklis Charalambous, Su Min Kim, Nikolaos Nomikos, Mats Bengtsson, Mikael Johansson:
Relay Pair Selection with Source Precoding in Buffer-Aided Successive Opportunistic Relaying. CoRR abs/1703.03338 (2017) - 2016
- [j37]Farhad Farokhi, Iman Shames, Michael G. Rabbat, Mikael Johansson:
On reconstructability of quadratic utility functions from the iterations in gradient methods. Autom. 66: 254-261 (2016) - [j36]Nikolaos Nomikos, Themistoklis Charalambous, Ioannis Krikidis, Dimitrios N. Skoutas, Demosthenes Vouyioukas, Mikael Johansson, Charalabos Skianis:
A Survey on Buffer-Aided Relay Selection. IEEE Commun. Surv. Tutorials 18(2): 1073-1097 (2016) - [j35]Guodong Shi, Alexandre Proutière, Mikael Johansson, John S. Baras, Karl Henrik Johansson:
The Evolution of Beliefs over Signed Social Networks. Oper. Res. 64(3): 585-604 (2016) - [j34]Zhenhua Zou, Anders Gidmark, Themistoklis Charalambous, Mikael Johansson:
Optimal Radio Frequency Energy Harvesting With Limited Energy Arrival Knowledge. IEEE J. Sel. Areas Commun. 34(12): 3528-3539 (2016) - [j33]Jie Lu, Mikael Johansson:
Convergence Analysis of Approximate Primal Solutions in Dual First-Order Methods. SIAM J. Optim. 26(4): 2430-2467 (2016) - [j32]Hamid Reza Feyzmahdavian, Arda Aytekin, Mikael Johansson:
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization. IEEE Trans. Autom. Control. 61(12): 3740-3754 (2016) - [j31]Themistoklis Charalambous, Michael G. Rabbat, Mikael Johansson, Christoforos N. Hadjicostis:
Distributed Finite-Time Computation of Digraph Parameters: Left-Eigenvector, Out-Degree and Spectrum. IEEE Trans. Control. Netw. Syst. 3(2): 137-148 (2016) - [j30]Guodong Shi, Bo Li, Mikael Johansson, Karl Henrik Johansson:
Finite-Time Convergent Gossiping. IEEE/ACM Trans. Netw. 24(5): 2782-2794 (2016) - [c88]Themistoklis Charalambous, Christoforos N. Hadjicostis, Michael G. Rabbat, Mikael Johansson:
Totally asynchronous distributed estimation of eigenvector centrality in digraphs with application to the PageRank problem. CDC 2016: 25-30 - [c87]Bart Besselink, Hamid Reza Feyzmahdavian, Henrik Sandberg, Mikael Johansson:
D-stability and delay-independent stability of monotone nonlinear systems with max-separable Lyapunov functions. CDC 2016: 3172-3177 - [c86]Demia Della Penda, Andrea Abrardo, Marco Moretti, Mikael Johansson:
Potential games for subcarrier allocation in multi-cell networks with D2D communications. ICC 2016: 1-6 - [c85]Dimitrios Poulimeneas, Themistoklis Charalambous, Nikolaos Nomikos, Ioannis Krikidis, Demosthenes Vouyioukas, Mikael Johansson:
A delay-aware hybrid relay selection policy. ICT 2016: 1-5 - [c84]Dimitrios Poulimeneas, Themistoklis Charalambous, Nikos Nomikos, Ioannis Krikidis, Demosthenes Vouyioukas, Mikael Johansson:
Delay- and diversity-aware buffer-aided relay selection policies in cooperative networks. WCNC 2016: 1-6 - [c83]Burak Demirel, Vijay Gupta, Daniel E. Quevedo, Mikael Johansson:
Threshold optimization of event-triggered multi-loop control systems. WODES 2016: 203-210 - [i27]Hamid Reza Feyzmahdavian, Bart Besselink, Mikael Johansson:
Stability Analysis of Monotone Systems via Max-separable Lyapunov Functions. CoRR abs/1607.07966 (2016) - [i26]Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson:
Analysis and Implementation of an Asynchronous Optimization Algorithm for the Parameter Server. CoRR abs/1610.05507 (2016) - 2015
- [j29]Themistoklis Charalambous, Nikolaos Nomikos, Ioannis Krikidis, Demosthenes Vouyioukas, Mikael Johansson:
Modeling Buffer-Aided Relay Selection in Networks With Direct Transmission Capability. IEEE Commun. Lett. 19(4): 649-652 (2015) - [j28]Euhanna Ghadimi, André Teixeira, Iman Shames, Mikael Johansson:
Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems. IEEE Trans. Autom. Control. 60(3): 644-658 (2015) - [j27]Guodong Shi, Alexandre Proutière, Mikael Johansson, John S. Baras, Karl Henrik Johansson:
Emergent Behaviors Over Signed Random Dynamical Networks: State-Flipping Model. IEEE Trans. Control. Netw. Syst. 2(2): 142-153 (2015) - [j26]Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Mikael Johansson:
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays. IEEE Trans. Control. Netw. Syst. 2(4): 370-381 (2015) - [j25]Nikolaos Nomikos, Themistoklis Charalambous, Ioannis Krikidis, Dimitrios N. Skoutas, Demosthenes Vouyioukas, Mikael Johansson:
A Buffer-Aided Successive Opportunistic Relay Selection Scheme With Power Adaptation and Inter-Relay Interference Cancellation for Cooperative Diversity Systems. IEEE Trans. Commun. 63(5): 1623-1634 (2015) - [j24]Haibo Zhang, Fredrik Österlind, Pablo Soldati, Thiemo Voigt, Mikael Johansson:
Time-Optimal Convergecast With Separated Packet Copying: Scheduling Policies and Performance. IEEE Trans. Veh. Technol. 64(2): 793-803 (2015) - [j23]Liqun Fu, Mikael Johansson, Mats Bengtsson:
Energy Efficient Transmissions in Cognitive MIMO Systems With Multiple Data Streams. IEEE Trans. Wirel. Commun. 14(9): 5171-5184 (2015) - [j22]Bo Yang, Yanyan Shen, Mikael Johansson, Cailian Chen, Xinping Guan:
Opportunistic multichannel access with decentralized channel state information. Wirel. Commun. Mob. Comput. 15(2): 322-339 (2015) - [j21]Marco Belleschi, Gábor Fodor, Demia Della Penda, Aidilla Pradini, Mikael Johansson, Andrea Abrardo:
Benchmarking Practical RRM Algorithms for D2D Communications in LTE Advanced. Wirel. Pers. Commun. 82(2): 883-910 (2015) - [c82]Hamid Reza Feyzmahdavian, Arda Aytekin, Mikael Johansson:
An asynchronous mini-batch algorithm for regularized stochastic optimization. CDC 2015: 1384-1389 - [c81]Hamid Reza Feyzmahdavian, Themistoklis Charalambous, Mikael Johansson:
Delay-independent stability of cone-invariant monotone systems. CDC 2015: 6361-6366 - [c80]