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Ivan Gaspar
Researcher at Dresden University of Technology
Publications - 36
Citations - 3062
Ivan Gaspar is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Physical layer. The author has an hindex of 18, co-authored 36 publications receiving 2655 citations. Previous affiliations of Ivan Gaspar include Vodafone & Intel.
Papers
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Journal ArticleDOI
5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications
Gerhard Wunder,Peter Jung,Martin Kasparick,Thorsten Wild,Frank Schaich,Yejian Chen,Stephan ten Brink,Ivan Gaspar,Nicola Michailow,Andreas Festag,Luciano Leonel Mendes,Nicolas Cassiau,Dimitri Ktenas,Marcin Dryjanski,Slawomir Pietrzyk,Bertalan Eged,Peter Vago,Frank Wiedmann +17 more
TL;DR: New key PHY layer technology components such as a unified frame structure, multicarrier waveform design including a filtering functionality, sparse signal processing mechanisms, a robustness framework, and transmissions with very short latency enable indeed an efficient and scalable air interface supporting the highly varying set of requirements originating from the 5G drivers.
Journal ArticleDOI
Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks
Nicola Michailow,Maximilian Matthe,Ivan Gaspar,Ainoa Navarro Caldevilla,Luciano Leonel Mendes,Andreas Festag,Gerhard Fettweis +6 more
TL;DR: The flexible nature of GFDM makes this waveform a suitable candidate for future 5G networks, and its main characteristics are analyzed.
Journal ArticleDOI
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
TL;DR: The results in this paper clearly demonstrate that deep CNN can efficiently exploit channel correlation to improve the estimation performance for mmWave massive MIMO systems.
Proceedings ArticleDOI
Generalized frequency division multiplexing: Analysis of an alternative multi-carrier technique for next generation cellular systems
TL;DR: This paper shows that based on the FFT/IFFT algorithm, the GFDM scheme can be implemented with reasonable computational effort and presents the benefits of the pulse shaped carriers in GFDM.
Proceedings ArticleDOI
Low Complexity GFDM Receiver Based on Sparse Frequency Domain Processing
TL;DR: A low complexity design for demodulating GFDM signals based on a sparse representation of the pulse-shaping filter in frequency domain and the results show, that for high-order QAM signaling, the error performance can be significantly improved with interference cancellation at reasonable computational cost.