Follow
Armin Dekorsy
Armin Dekorsy
Verified email at ant.uni-bremen.de
Title
Cited by
Cited by
Year
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
8402016
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
3142018
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
2852014
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
2142020
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
1812013
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
1362013
Apparatus for clustering cells using neighbor relations
S Brueck, A Dekorsy
US Patent 9,288,690, 2016
1082016
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
1002011
Balancing load of cells in inter-frequency handover of wireless communications
F Derakshan, A Dekorsy
US Patent App. 11/044,248, 2006
922006
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
912015
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
882015
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
822014
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
792022
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
762013
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
592022
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
552012
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
542011
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
492015
Managing internet protocol based resources in a packet-based access network
M Bauer, A Dekorsy
US Patent App. 11/092,019, 2006
492006
Federated learning in satellite constellations
B Matthiesen, N Razmi, I Leyva-Mayorga, A Dekorsy, P Popovski
IEEE Network, 2023
482023
The system can't perform the operation now. Try again later.
Articles 1–20