A Statistical Learning Approach to Ultra-Reliable Low Latency Communication

M. NAKAGAMI, “The m-distribution—a general formula of intensity distribution of rapid fading,” in Statistical Methods in Radio Wave Propagation , W. HOFFMAN, Ed. Pergamon, 1960, pp. 3 – 36. [Online]. Available: http://www.sciencedirect.com/science/article/pii/B9780080093062500054

1960

Earlier work this paper cites.

L. G. Valiant, “A theory of the learnable,” Commun. ACM , vol. 27, no. 11, pp. 1134–1142, Nov. 1984. [Online]. Available: http://doi.acm.org/10.1145/1968.1972

1972

Earlier work this paper cites.

A. W. van der Vaart, Asymptotic Statistics . Cambridge University Press, 1998

1998

Earlier work this paper cites.

G. D. Durgin, T. S. Rappaport, and D. A. de Wolf, “New analytical models and probability density functions for fading in wireless communications,” IEEE Transactions on Communications , vol. 50, no. 6, pp. 1005–1015, June 2002

2002

Earlier work this paper cites.

R. Vaughan, J. Andersen, J. Andersen, and I. of Electrical Engineers, Channels, Propagation and Antennas for Mobile Communications , ser. Electromagnetics and Radar Series. Institution of Engineering and Technology, 2003. [Online]. Available: https://books.google.com/books?id=9GO0ZKgKoIYC

2003

Earlier work this paper cites.

E. Castillo, A. S. H. N. Balakrishnan, and J. M. Sarabia, Extreme Value and Related Models with Applications in Engineering and Science . Wiley, 2005

2005

Earlier work this paper cites.

M. Falk, J. Hüsler, and R.-D. Reiss, Laws of Small Numbers: Extremes and Rare Events, 3rd. ed. Birkhäuser, 2010

2010

Cited alongside, same era.

P. Popovski, “Ultra-reliable communication in 5G wireless systems,” in IEEE International Conference on 5G for Ubiquitous Connectivity . IEEE, Jul. 2013, pp. 146–151

2013

Cited alongside, same era.

S. Shalev-Shwartz and S. Ben-David, Understanding Machine Learning: From Theory to Algorithms , ser. Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press, 2014. [Online]. Available: https://books.google.com/books?id=ttJkAwAAQBAJ

2014

Cited alongside, same era.

M. Haenggi, “The meta distribution of the sir in poisson bipolar and cellular networks,” IEEE Transactions on Wireless Communications , vol. 15, no. 4, pp. 2577–2589, April 2016

2016

Cited alongside, same era.

P. C. F. Eggers, M. Angjelichinoski, and P. Popovski, “Wireless channel modeling perspectives for ultra-reliable low latency communications,” submitted to IEEE Trans. Wireless Commun. , May 2017, arXiv:1705.01725 [cs.IT]

Original

2017

Later among the works it cites.

P. Popovski, J. J. Nielsen, C. Stefanovic, E. d. Carvalho, E. Strom, K. F. Trillingsgaard, A. Bana, D. M. Kim, R. Kotaba, J. Park, and R. B. Sorensen, “Wireless access for ultra-reliable low-latency communication: Principles and building blocks,” IEEE Network , vol. 32, no. 2, pp. 16–23, March 2018

2018

Closest in time.

M. Bennis, M. Debbah, and H. V. Poor, “Ultra-reliable and low-latency wireless communication: Tail, risk and scale,” submitted to Proceedings of IEEE , May 2018, arXiv:1801.01270 [cs.IT]

Original

2018

Closest in time.

V. N. Swamy, P. Rigge, G. Ranade, B. Nikolic, and A. Sahai, “Wireless channel dynamics and robustness for ultra-reliable low-latency communications,” submitted to IEEE Journal on Selected Areas in Communications , 2018, arXiv:1806.08777 [cs.IT]

Original