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Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow.
T. Kluyver, B. Ragan-Kelley, F. Pérez, B. Granger, M. Bussonnier, J. Frederic, K. Kelley, J. Hamrick, J. Grout, S. Corlay, P. Ivanov, D. Avila, S. Abdalla, and C. Willing, “Jupyter Notebooks – a publishing format for reproducible computational workflows,” in Positioning and Power in Academic Publishing: Players, Agents and Agendas , F. Loizides and B. Schmidt, Eds. IOS Press, 2016, pp. 87–90. [Online]. Available: https://jupyter.org
2016
Earlier work this paper cites.
T. O’shea and J. Hoydis, “An introduction to deep learning for the physical layer,” IEEE Trans. on Cogn. Commun. Netw. , vol. 3, no. 4, pp. 563–575, Dec. 2017
2017
Earlier work this paper cites.
E. Björnson, L. Sanguinetti, H. Wymeersch, J. Hoydis, and T. L. Marzetta, “Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays,” Digital Signal Processing , vol. 94, pp. 3–20, Nov. 2019, special Issue on Source Localization in Massive MIMO. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1051200419300776
2019
Earlier work this paper cites.
M. D. Renzo, M. Debbah, D.-T. Phan-Huy, A. Zappone, M.-S. Alouini, C. Yuen, V. Sciancalepore, G. C. Alexandropoulos, J. Hoydis, H. Gacanin, J. d. Rosny, A. Bounceur, G. Lerosey, and M. Fink, “Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come,” EURASIP J. Wireless Commun. Netw. , vol. 2019, no. 1, p. 129, May 2019
2019
Earlier work this paper cites.
A. Cassagne, O. Hartmann, M. Léonardon, K. He, C. Leroux, R. Tajan, O. Aumage, D. Barthou, T. Tonnellier, V. Pignoly, B. Le Gal, and C. Jégo, “AFF3CT: A Fast Forward Error Correction Toolbox!” Elsevier SoftwareX , vol. 10, p. 100345, Oct. 2019. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S2352711019300457
2019
Earlier work this paper cites.
H. Viswanathan and P. E. Mogensen, “Communications in the 6G Era,” IEEE Access , vol. 8, pp. 57 063–57 074, Mar. 2020
2020
Earlier work this paper cites.
A. Bourdoux, A. N. Barreto, B. van Liempd, C. de Lima, D. Dardari, D. Belot, E.-S. Lohan, G. Seco-Granados, H. Sarieddeen, H. Wymeersch, J. Suutala, J. Saloranta, M. Guillaud, M. Isomursu, M. Valkama, M. R. K. Aziz, R. Berkvens, T. Sanguanpuak, T. Svensson, and Y. Miao, “6G White Paper on Localization and Sensing,” University of Oulu: 6G Research Visions , Jun. 2020
2020
Earlier work this paper cites.
Y. Liu, X. Yuan, Z. Xiong, J. Kang, X. Wang, and D. Niyato, “Federated learning for 6G communications: Challenges, methods, and future directions,” China Communications , vol. 17, no. 9, pp. 105–118, Sep. 2020
2020
Earlier work this paper cites.
ETSI, “ETSI TR 138 901 V16.1.0: Study on channel model for frequencies from 0.5 to 100 GHz,” ETSI, Tech. Rep., Nov. 2020. [Online]. Available: https://www.etsi.org/deliver/etsi_tr/138900_138999/138901/16.01.00_60/tr_138901v160100p.pdf
2020
Earlier work this paper cites.
S. Ali, W. Saad, and D. Steinbach, Eds., White Paper on Machine Learning in 6G Wireless Communication Networks . University of Oulu, 2020, no. 7. [Online]. Available: http://urn.fi/urn:isbn:9789526226736
2020
Earlier work this paper cites.
ETSI, “ETSI TS 138 212 V16.2.0: Multiplexing and channel coding,” ETSI, Tech. Rep., Jul. 2020. [Online]. Available: https://www.etsi.org/deliver/etsi_ts/138200_138299/138212/16.02.00_60/ts_138212v160200p.pdf
2020
Earlier work this paper cites.
M. Alrabeiah, A. Hredzak, Z. Liu, and A. Alkhateeb, “ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications,” in IEEE Proc. Vehicular Technology Conf. (VTC2020-Spring) , May 2020, pp. 1–5
2020
Earlier work this paper cites.
M. A. Uusitalo, M. Ericson, B. Richerzhagen, E. U. Soykan, P. Rugeland, G. Fettweis, D. Sabella, G. Wikström, M. Boldi, M.-H. Hamon et al. , “Hexa-X the European 6G flagship project,” in Proc. Joint Europ. Conf. Netw. Commun. & 6G Summit (EuCNC/6G Summit) , Porto, Portugal, Jun. 2021, pp. 580–585
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
2021
Cited alongside, same era.
J. Hoydis, F. A. Aoudia, A. Valcarce, and H. Viswanathan, “Toward a 6G AI-Native Air Interface,” IEEE Commun. Mag. , vol. 59, no. 5, pp. 76–81, May 2021
2021
Cited alongside, same era.
M. Kountouris and N. Pappas, “Semantics-Empowered Communication for Networked Intelligent Systems,” IEEE Commun. Mag. , vol. 59, no. 6, pp. 96–102, Jun. 2021
2021
Cited alongside, same era.
T. Nishio, Y. Koda, J. Park, M. Bennis, and K. Doppler, “When wireless communications meet computer vision in beyond 5G,” IEEE Commun. Standards Mag. , vol. 5, no. 2, pp. 76–83, Jun. 2021
2021
Cited alongside, same era.
M. K. Müller, F. Ademaj, T. Dittrich, A. Fastenbauer, B. R. Elbal, A. Nabavi, L. Nagel, S. Schwarz, and M. Rupp, “Flexible multi-node simulation of cellular mobile communications: the Vienna 5G System Level Simulator,” EURASIP J. Wireless Commun. Netw. , vol. 2018, no. 1, p. 17, Sep. 2018, accessed Jan. 2022. [Online]. Available: https://www.nt.tuwien.ac.at/research/mobile-communications/vccs/vienna-5g-simulators/
2022
Closest in time.
G. F. Riley and T. R. Henderson, The ns-3 Network Simulator . Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 15–34, accessed Jan. 2022. [Online]. Available: https://www.nsnam.org
2022
Closest in time.
A. Varga and R. Hornig, “An overview of the OMNeT++ simulation environment,” in Proc. SIMUTools , Marseille, France, Mar. 2008, pp. 1–10, accessed Jan. 2022. [Online]. Available: https://omnetpp.org
2022
Closest in time.
GNU Radio Project, “GNU Radio – the Free and Open Software Radio Ecosystem,” https://www.gnuradio.org , accessed Jan. 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2022
Cited alongside, same era.
2022
Cited alongside, same era.
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015, accessed Jan. 2022. [Online]. Available: https://www.tensorflow.org/
2022
Cited alongside, same era.
F. Chollet et al. , “Keras,” https://keras.io , 2015, accessed Jan. 2022
2022
Cited alongside, same era.
T. M. Inc., “Matlab,” https://www.mathworks.com/products/matlab.html , accessed Jan. 2022
2022
Cited alongside, same era.
S. Jaeckel, L. Raschkowski, K. Börner, and L. Thiele, “QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials,” IEEE Trans. Antennas Propag. , vol. 62, no. 6, pp. 3242–3256, 2014, accessed Jan. 2022. [Online]. Available: https://wireless.engineering.nyu.edu/nyusim/
2022
Cited alongside, same era.
S. Sun, G. R. MacCartney, and T. S. Rappaport, “A novel millimeter-wave channel simulator and applications for 5G wireless communications,” in Proc. IEEE Int. Conf. Commun. (ICC) , Paris, France, May 2017, accessed Jan. 2022. [Online]. Available: https://quadriga-channel-model.de/
2022
Cited alongside, same era.
S. Pratschner, B. Tahir, L. Marijanovic, M. Mussbah, K. Kirev, R. Nissel, S. Schwarz, and M. Rupp, “Versatile mobile communications simulation: the Vienna 5G Link Level Simulator,” EURASIP J. Wireless Commun. Netw. , vol. 2018, no. 1, p. 226, Sep. 2018, accessed Jan. 2022. [Online]. Available: https://www.nt.tuwien.ac.at/research/mobile-communications/vccs/vienna-5g-simulators/
2022
Cited alongside, same era.
2022
Closest in time.
N. Nikaein, M. K. Marina, S. Manickam, A. Dawson, R. Knopp, and C. Bonnet, “OpenAirInterface: A flexible platform for 5G research,” ACM SIGCOMM Comput. Commun. Rev. , vol. 44, no. 5, pp. 33–38, Oct. 2014, accessed Jan. 2022. [Online]. Available: https://openairinterface.org
2022
Closest in time.
“Platforms for Advanced Wireless Research (PAWR),” accessed Jan. 2022. [Online]. Available: https://advancedwireless.org
2022
Closest in time.
“OneLab - Future Internet Testbeds,” accessed Jan. 2022. [Online]. Available: http://www.onelab.eu
2022
Closest in time.
“XLA: Optimizing Compiler for Machine Learning,” accessed Jan. 2022. [Online]. Available: https://www.tensorflow.org/xla
2022
Closest in time.
“Introduction to gradients and automatic differentiation,” accessed Jan. 2022. [Online]. Available: https://www.tensorflow.org/guide/autodiff
2022
Closest in time.
“Developer Certificate of Origin Version 1.1,” accessed Jan. 2022. [Online]. Available: https://developercertificate.org
2022
Closest in time.
“Create an op,” accessed Jan. 2022. [Online]. Available: https://www.tensorflow.org/guide/create_op
2022
Closest in time.
“CUDA Zone,” accessed Jan. 2022. [Online]. Available: https://developer.nvidia.com/cuda-zone
2022
Closest in time.
“NVIDIA CUDA-X: GPU-Accelerated Libraries,” accessed Jan. 2022. [Online]. Available: https://developer.nvidia.com/gpu-accelerated-libraries
2022
Closest in time.