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Martin Kasparick
Martin Kasparick
Verified email at hhi.fraunhofer.de - Homepage
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5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications
G Wunder, P Jung, M Kasparick, T Wild, F Schaich, Y Chen, ST Brink, ...
Communications Magazine, IEEE 52 (2), 97-105, 2014
11532014
5GNOW: Challenging the LTE design paradigms of orthogonality and synchronicity
G Wunder, M Kasparick, S ten Brink, F Schaich, T Wild, I Gaspar, ...
2013 IEEE 77th vehicular technology conference (VTC Spring), 1-5, 2013
1522013
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
762015
Bi-orthogonal waveforms for 5G random access with short message support
M Kasparick, G Wunder, P Jung, D Maryopi
European Wireless 2014; 20th European Wireless Conference, 1-6, 2014
442014
5GNOW: Intermediate frame structure and transceiver concepts
G Wunder, M Kasparick, T Wild, F Schaich, Y Chen, M Dryjanski, ...
2014 IEEE Globecom Workshops (GC Wkshps), 565-570, 2014
382014
Self-organizing distributed inter-cell beam coordination in cellular networks with best effort traffic
G Wunder, M Kasparick, A Stolyar, H Viswanathan
8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc …, 2010
342010
System-level interfaces and performance evaluation methodology for 5G physical layer based on non-orthogonal waveforms
G Wunder, M Kasparick, S Ten Brink, F Schaich, T Wild, Y Chen, I Gaspar, ...
2013 Asilomar conference on signals, systems and computers, 1659-163, 2013
212013
5G waveform candidate selection
M Kasparick, G Wunder, CF Schaich, T Wild, V Berg, N Cassiau, J Dor, ...
Eur. Res. Project Tech. Rep, 2013
212013
Max-min utility optimization in load coupled interference networks
RLG Cavalcante, M Kasparick, S Stańczak
IEEE Transactions on Wireless Communications 16 (2), 705-716, 2016
202016
Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction
A Palaios, P Geuer, J Fink, DF Külzer, F Göttsch, M Kasparick, ...
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021
172021
Effect of spatial, temporal and network features on uplink and downlink throughput prediction
A Palaios, C Vielhaus, DF Külzer, P Geuer, R Sattiraju, J Fink, ...
2021 IEEE 4th 5G World Forum (5GWF), 418-423, 2021
152021
AI4Mobile: Use cases and challenges of AI-based QoS prediction for high-mobility scenarios
DF Külzer, M Kasparick, A Palaios, R Sattiraju, OD Ramos-Cantor, ...
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-7, 2021
152021
Terminal-side data rate prediction for high-mobility users
D Schäufele, M Kasparick, J Schwardmann, J Morgenroth, S Stańczak
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021
142021
Spline waveforms and interference analysis for 5G random access with short message support
G Wunder, M Kasparick, P Jung
arXiv preprint arXiv:1501.02917, 2015
142015
5GNOW: Application Challenges and Initial Waveform Results
G Wunder, M Kasparick, T Wild, F Schaich, Y Chen, S ten Brink, I Gaspar, ...
Proceedings of the Future Network and Mobile Summit (FNMS'13), 2013
142013
Autonomous distributed power control algorithms for interference mitigation in multi-antenna cellular networks
M Kasparick, G Wunder
17th European Wireless 2011-Sustainable Wireless Technologies, 1-8, 2011
92011
New physical‐layer waveforms for 5G
G Wunder, M Kasparick, P Jung, T Wild, F Schaich, Y Chen, G Fettweis, ...
Towards 5G: Applications, Requirements and Candidate Technologies, 303-341, 2016
82016
Interference analysis for 5G random access with short message support
G Wunder, M Kasparick, P Jung
Proceedings of European Wireless 2015; 21th European Wireless Conference, 1-6, 2015
82015
Berlin V2X: A machine learning dataset from multiple vehicles and radio access technologies
R Hernangómez, P Geuer, A Palaios, D Schäufele, C Watermann, ...
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023
72023
Leveraging machine learning for industrial wireless communications
I Malanchini, P Agostini, K Alam, M Baumgart, M Kasparick, Q Liao, F Lipp, ...
arXiv preprint arXiv:2105.02051, 2021
72021
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