Towards massive connectivity support for scalable mMTC communications in 5G networks C Bockelmann, NK Pratas, G Wunder, S Saur, M Navarro, D Gregoratti, ... IEEE access 6, 28969-28992, 2018 | 295 | 2018 |
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges CX Wang, M Di Renzo, S Stanczak, S Wang, EG Larsson IEEE Wireless Communications 27 (1), 16-23, 2020 | 257 | 2020 |
Fundamentals of resource allocation in wireless networks: theory and algorithms S Stanczak, M Wiczanowski, H Boche Springer, 2009 | 209 | 2009 |
Fundamentals of resource allocation in wireless networks: theory and algorithms S Stanczak, M Wiczanowski, H Boche Springer Science & Business Media, 2009 | 207 | 2009 |
Robust analog function computation via wireless multiple-access channels M Goldenbaum, S Stanczak IEEE Transactions on Communications 61 (9), 3863-3877, 2013 | 186 | 2013 |
Harnessing interference for analog function computation in wireless sensor networks M Goldenbaum, H Boche, S Stańczak IEEE Transactions on Signal Processing 61 (20), 4893-4906, 2013 | 171 | 2013 |
Towards a Better Understanding of the QoS Tradeoff in Multiuser Multiple Antenna Systems S Stanczak, H Boche | 153* | |
Toward energy-efficient 5G wireless communications technologies: Tools for decoupling the scaling of networks from the growth of operating power RLG Cavalcante, S Stanczak, M Schubert, A Eisenblaetter, U Tuerke IEEE Signal Processing Magazine 31 (6), 24-34, 2014 | 137 | 2014 |
Resource allocation in wireless networks: theory and algorithms S Stańczak, M Wiczanowski, H Boche Springer Science & Business Media, 2006 | 135* | 2006 |
Are LAS-codes a miracle? S Stanczak, H Boche, M Haardt GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No. 01CH37270 …, 2001 | 128 | 2001 |
Hybrid centralized–distributed resource allocation for device-to-device communication underlaying cellular networks S Maghsudi, S Stańczak IEEE Transactions on Vehicular Technology 65 (4), 2481-2495, 2015 | 113 | 2015 |
Channel selection for network-assisted D2D communication via no-regret bandit learning with calibrated forecasting S Maghsudi, S Stańczak IEEE Transactions on Wireless Communications 14 (3), 1309-1322, 2014 | 105 | 2014 |
Nomographic functions: Efficient computation in clustered Gaussian sensor networks M Goldenbaum, H Boche, S Stańczak IEEE Transactions on Wireless Communications 14 (4), 2093-2105, 2014 | 101 | 2014 |
Convexity of some feasible QoS regions and asymptotic behavior of the minimum total power in CDMA systems H Boche, S Stanczak IEEE Transactions on Communications 52 (12), 2190-2197, 2004 | 100 | 2004 |
Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach DA Awan, RLG Cavalcante, M Yukawa, S Stanczak Machine Learning for Future Wireless Communications, 197, 2019 | 78* | 2019 |
Kernel-based adaptive online reconstruction of coverage maps with side information M Kasparick, RLG Cavalcante, S Valentin, S Stańczak, M Yukawa IEEE Transactions on Vehicular Technology 65 (7), 5461-5473, 2015 | 77 | 2015 |
Distributed utility-based power control: Objectives and algorithms S Stanczak, M Wiczanowski, H Boche IEEE Transactions on Signal Processing 55 (10), 5058-5068, 2007 | 66 | 2007 |
Planning of Cellular Networks Enhanced by Energy Harvesting M Zheng, P Pawelczak, S Stanczak, H Yu Communications Letters, IEEE 17 (6), 1092-1095, 2013 | 65 | 2013 |
Achievable rates for the restricted half-duplex two-way relay channel C Schnurr, TJ Oechtering, S Stanczak 2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007 | 65 | 2007 |
Joint channel selection and power control in infrastructureless wireless networks: A multiplayer multiarmed bandit framework S Maghsudi, S Stańczak IEEE Transactions on Vehicular Technology 64 (10), 4565-4578, 2014 | 59 | 2014 |