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TU Berlin

Inhalt des Dokuments



Book Chapters

Journal Publications

J. Mohammadi, S. Limmer and S. Stanczak (2016). A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus. Frequenz, July 2016

R.L.G. Cavalcante, S. Stanczak, J. Zhang and H. Zhuang (2016). Low complexity iterative algorithms for power estimation in ultra-dense load coupled networks. IEEE Trans. Signal Processing, vol. 64, no. 22, pp. 6058-6070, Nov. 2016

R.L.G. Cavalcante and Y. Shen and S. Stanczak (2016). Elementary Properties of Positive Concave Mappings With Applications to Network Planning and Optimization. IEEE Trans. Signal Processing, vol. 64, no. 7, pp. 1774-1783, April 2016

E. Pollakis, R.L.G. Cavalcante and S. Stanczak (2016). Traffic Demand-Aware Topology Control for Enhanced Energy-Efficiency of Cellular Networks. EURASIP Journal on Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb. 2016

T. Wirth, K.-J. Friederichs, R. Halfmann, T. Haustein, B. Holfeld, M. Mehlhose, J. Pilz and D. Wieruch (2016). Real-time demonstration of optimized spectrum usage with LSA carrier aggregation. Frequenz, Journal of RF-Engineering and Telecommunications, vol. 70, no. 7, pp. 301-308, July 2016, doi: 10.1515/freq-2015-0215

G. Cao and P. Jung and S. Stanczak and F. Yu (2016). Data Aggregation and Recovery in Wireless Sensor Networks Using Compressed Sensing. International Journal of Sensor Networks (IJSNet), 209-219.

M. Kasparick and R. L. G. Cavalcante and S. Valentin and S. Stanczak and M. Yukawa (2015). Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5461-5473, July 2016 (also available at http://arxiv.org/abs/1404.0979)

S. Maghsudi and S. Stanczak (2015). Hybrid Centralized-Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks. IEEE Trans. Veh. Technol., 2481-2495.

M. Goldenbaum and H. Boche and S. Stanczak (2015). Nomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks. IEEE Trans. Wireless Commun., 2093–2105.

Conference, Symposium, and Workshop Papers

R. Lindstedt, M. Kasparick, J. Pilz and S. Jaeckel (2020). An Open Software-Defined-Radio Platform for LTE-V2X And Beyond. 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, BC Canada, 2020

H. Sh, M. Zheng, W. Liang, J. Zhang and M. Kasparick (2020). AODR: A Novel Retransmission Scheme for WIA-FA Networks. 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6

R. L.G. Cavalcante and S. Stanczak (2020). Hybrid data and model driven algorithms for angular power spectrum estimation. IEEE GLOBECOM 2020, December 7 - 11, in Taipei, Taiwan

F. Göttsch, J. Fink, M. Kasparick (2020). Proactive Resource Allocation for the Coexistence of Concurrent Services. 24th International ITG Workshop on Smart Antennas (WSA 2020), Hamburg, Germany, 18-20 Feb. 2020

M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M. Kurras, S. Stanczak (2020). Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, May 4-8, 2020, Barcelona, Spain

R. L. G. Cavalcante and S. Stanczak (2020). A hybrid model-data driven approach for the estimation of the angular power spectrum in massive MIMO systems. IEEE Statistical Signal Processing Workshop 2020, Rio de Janeiro, Brazil, 12th-15th July, 2020 (to appear)

J. Dommel, Z. Utkovski, O. Simeone and S. Stanczak (2020). Joint Source-Channel Coding for Grant-Free Radio Access in IoT Fog Networks: Edge vs Cloud Processing. IEEE Statistical Signal Processing Workshop 2020, Rio de Janeiro, Brazil, 12-15 July, 2020

R. Hernangómez and A. Santra and S. Stanczak (2019). Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. RADAR 2019 International Conference, 23-27 Sept. 2019, Toulon, France

I. Bjelakovic, M. Frey and S. Stanczak (2019). Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem. 57th Annual Allerton Conference on Communication, Control, and Computing, 24-27 Sept. 2019 in Urbana, IL, USA, arXiv:1907.03777

J. Fink, D. Schäufele, M. Kasparick, R. L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by set-theoretic estimation. 23rd International ITG Workshop on Smart Antennas (WSA), Vienna, Austria, 24-26 April 2019

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