M. I. Ashraf, C. Liu, M. Bennis, and W. Saad, Towards lowlatency and ultra-reliable vehicle-to-vehicle communication, Proc. of European Conference on Networks and Communications (EuCNC), pp.1-5, 2017.
DOI : 10.1109/eucnc.2017.7980743
URL : http://arxiv.org/pdf/1704.06894

C. Liu and M. Bennis, Ultra-reliable and low-latency vehicular transmission: an extreme value theory approach, IEEE Communications Letters, pp.1-1, 2018.
DOI : 10.1109/lcomm.2018.2828407
URL : http://arxiv.org/pdf/1804.06368

T. Zeng, O. Semiari, W. Saad, and M. Bennis, Joint communication and control for wireless autonomous vehicular platoon systems, CoRR, 2018.

A. E. Fernandez and M. Fallgren, Fifth Generation Communication Automotive Research and innovation, 2017.

S. A. Shah, E. Ahmed, M. Imran, and S. Zeadally, 5G for vehicular communications, IEEE Communications Magazine, vol.56, issue.1, pp.111-117, 2018.
DOI : 10.1109/mcom.2018.1700467

, 5G Technology Workshop-Potential Technology for 3GPP, 2016.

M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, Unmanned aerial vehicle with underlaid device-to-device communications: performance and tradeoffs, IEEE Transactions on Wireless Communications, vol.15, issue.6, pp.3949-3963, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01789328

M. I. Ashraf, M. Bennis, C. Perfecto, and W. Saad, Dynamic proximityaware resource allocation in vehicle-to-vehicle (V2V) communications, Proc. IEEE Global Communications Conference (GLOBECOM), pp.1-6, 2016.

T. Liu, Y. Zhu, R. Jiang, and Q. Zhao, Distributed social welfare maximization in urban vehicular participatory sensing systems, IEEE Transactions on Mobile Computing, issue.99, pp.1-1, 2017.

J. Mei, K. Zheng, L. Zhao, Y. Teng, and X. Wang, A latency and reliability guaranteed resource allocation scheme for LTE V2V communication systems, IEEE Transactions on Wireless Communications, issue.99, pp.1-1, 2018.

M. Bennis, M. Debbah, and H. V. Poor, Ultra-reliable and low-latency wireless communication: tail, risk and scale, CoRR, 2018.

, Extreme values in finance, telecommunications, and the environment, ser. Monographs on Statistics & Applied Probability (Book 99, 2003.

C. Liu, Y. Shu, J. Liu, and O. W. Yang, Application of extreme value theory to the analysis of wireless network traffic, IEEE International Conference on Communications, pp.486-491, 2007.

A. Mouradian, Extreme value theory for the study of probabilistic worst case delays in wireless networks, Ad Hoc Networks, vol.48, pp.1-15, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01398533

S. Wei, D. L. Goeckel, and P. E. Kelly, A modern extreme value theory approach to calculating the distribution of the peak-to-average power ratio in OFDM systems, Proc. of IEEE International Conference on Communications ( ICC), vol.3, pp.1686-1690, 2002.

J. Konecn´ykonecn´y, H. B. Mcmahan, D. Ramage, and P. Richtárik, Federated optimization: distributed machine learning for on-device intelligence, CoRR, 2016.

T. Mangel, O. Klemp, and H. Hartenstein, A validated 5.9 GHz nonline-of-sight path-loss and fading model for inter-vehicle communication, 11th International Conference on ITS Telecommunications, pp.75-80, 2011.

P. Luoto, M. Bennis, P. Pirinen, S. Samarakoon, K. Horneman et al., Vehicle clustering for improving enhanced LTE-V2X network performance, Proc. of European Conference on Networks and Communications (EuCNC), pp.1-5, 2017.

K. Hamidouche, A. T. Kasgari, W. Saad, M. Bennis, and M. Debbah, Collaborative artificial intelligence (AI) for user-cell association in ultra-dense cellular systems, Proc. of the IEEE International Conference on Communications (ICC), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01923643

P. G. Hoel, Introduction to mathematical statistics, 1984.