Massive machine-type communications in 5G: Physical and MAC-layer solutions C Bockelmann, N Pratas, H Nikopour, K Au, T Svensson, C Stefanovic, ... IEEE communications magazine 54 (9), 59-65, 2016 | 840 | 2016 |
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 | 314 | 2018 |
Benefits and impact of cloud computing on 5G signal processing: Flexible centralization through cloud-RAN D Wubben, P Rost, JS Bartelt, M Lalam, V Savin, M Gorgoglione, ... IEEE signal processing magazine 31 (6), 35-44, 2014 | 285 | 2014 |
LEO small-satellite constellations for 5G and beyond-5G communications I Leyva-Mayorga, B Soret, M Röper, D Wübben, B Matthiesen, A Dekorsy, ... Ieee Access 8, 184955-184964, 2020 | 214 | 2020 |
Compressive sensing based multi‐user detection for machine‐to‐machine communication C Bockelmann, HF Schepker, A Dekorsy Transactions on Emerging Telecommunications Technologies 24 (4), 389-400, 2013 | 181 | 2013 |
Exploiting sparsity in channel and data estimation for sporadic multi-user communication HF Schepker, C Bockelmann, A Dekorsy ISWCS 2013; The Tenth International Symposium on Wireless Communication …, 2013 | 136 | 2013 |
Apparatus for clustering cells using neighbor relations S Brueck, A Dekorsy US Patent 9,288,690, 2016 | 108 | 2016 |
Sparse multi-user detection for CDMA transmission using greedy algorithms HF Schepker, A Dekorsy 2011 8th International Symposium on Wireless Communication Systems, 291-295, 2011 | 100 | 2011 |
Balancing load of cells in inter-frequency handover of wireless communications F Derakshan, A Dekorsy US Patent App. 11/044,248, 2006 | 92 | 2006 |
Compressive sensing multi-user detection for multicarrier systems in sporadic machine type communication F Monsees, M Woltering, C Bockelmann, A Dekorsy 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-5, 2015 | 91 | 2015 |
Benefits and challenges of virtualization in 5G radio access networks P Rost, I Berberana, A Maeder, H Paul, V Suryaprakash, M Valenti, ... IEEE Communications Magazine 53 (12), 75-82, 2015 | 88 | 2015 |
Benefits and impact of cloud computing on 5G signal processing D Wübben, P Rost, J Bartelt, M Lalam, V Savin, M Gorgoglione, A Dekorsy, ... IEEE Signal Processing Magazine 31 (6), 35-44, 2014 | 82 | 2014 |
Ground-assisted federated learning in LEO satellite constellations N Razmi, B Matthiesen, A Dekorsy, P Popovski IEEE Wireless Communications Letters 11 (4), 717-721, 2022 | 79 | 2022 |
M2M massive wireless access: Challenges, research issues, and ways forward A Zanella, M Zorzi, AF dos Santos, P Popovski, N Pratas, C Stefanovic, ... 2013 IEEE Globecom Workshops (GC Wkshps), 151-156, 2013 | 76 | 2013 |
On-board federated learning for dense LEO constellations N Razmi, B Matthiesen, A Dekorsy, P Popovski ICC 2022-IEEE International Conference on Communications, 4715-4720, 2022 | 59 | 2022 |
Compressive sensing multi-user detection with block-wise orthogonal least squares HF Schepker, A Dekorsy 2012 IEEE 75th vehicular technology conference (VTC spring), 1-5, 2012 | 55 | 2012 |
Self-organizing adaptive clustering for cooperative multipoint transmission R Weber, A Garavaglia, M Schulist, S Brueck, A Dekorsy 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 1-5, 2011 | 54 | 2011 |
Efficient detectors for joint compressed sensing detection and channel decoding HF Schepker, C Bockelmann, A Dekorsy IEEE Transactions on Communications 63 (6), 2249-2260, 2015 | 49 | 2015 |
Managing internet protocol based resources in a packet-based access network M Bauer, A Dekorsy US Patent App. 11/092,019, 2006 | 49 | 2006 |
Federated learning in satellite constellations B Matthiesen, N Razmi, I Leyva-Mayorga, A Dekorsy, P Popovski IEEE Network, 2023 | 48 | 2023 |