Unified and non-parameterized statistical modeling of temporal and spatial traffic heterogeneity in wireless cellular networks

2014 IEEE International Conference on Communications Workshops, ICC 2014

Volumn , Issue , 2014, Pages 55-60

  Mirahsan, Meisam ^a   Wang, Ziyang ^a   Schoenen, Rainer ^a   Yanikomeroglu, Halim ^a   St Hilaire, Marc ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Point Process; Stochastic Geometry; Traffic Modeling; Voronoi Tessellation; Wireless Cellular Network

Indexed keywords

GEOMETRY; MOBILE TELECOMMUNICATION SYSTEMS; POISSON DISTRIBUTION;

POINT PROCESS; STOCHASTIC GEOMETRY; TRAFFIC MODEL; VORONOI TESSELLATIONS; WIRELESS CELLULAR NETWORKS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 84906763199     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCW.2014.6881172     Document Type: Conference Paper

References (18)

1. V. Paxson and S. Floyd, "Wide area traffic: the failure of Poisson modeling", IEEE/ACM Transactions on Networking (ToN), vol. 3, no. 3, pp. 226-244, June 1995.
2. A. Dainotti, A. Pescapé, P. S. Rossi, F. Palmieri, and G. Ventre, "Internet traffic modeling by means of hidden Markov models", Computer Networks, vol. 52, no. 14, pp. 2645-2662, October 2008.
3. Y. Xie, J. Hu, Y. Xiang, S. Yu, S. Tang, and Y. Wang, "Modeling oscillation behavior of network traffic by nested hidden Markov model with variable stateduration", IEEE Transactions on Parallel and Distributed Systems, p. 1, September 2012.
4. ITU-R., "ITU-R M.2135: Guidelines for evaluation of Radio Interface Technologies for IMT-Advanced", ITU, Tech. Rep., 2008.
5. H. ElSawy, E. Hossain, and M. Haenggi, "Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: A survey", IEEE Communications Surveys & Tutorials, 2013.
6. J. Rataj, I. Saxl, and K. Pelikán, "Convergence of randomly oscillating point patterns to the Poisson point process", Applications of Mathematics, vol. 38, no. 3, pp. 221-235, 1993.
7. V. Lucarini, "From symmetry breaking to Poisson point process in 2d Voronoi tessellations: the generic nature of hexagons", Journal of Statistical Physics, vol. 130, no. 6, pp. 1047-1062, January 2008.
8. B. Blaszczyszyn and D. Yogeshwaran, "Clustering comparison of point processes with applications to random geometric models", arXiv:1212.5285, 2012.
9. P. J. Clark and F. C. Evans, "Distance to nearest neighbor as a measure of spatial relationships in populations", Ecology, vol. 35, no. 4, pp. 445-453, 1954.
10. C. D. Barr, Applications of Voronoi Tessellations in Point Pattern Analysis. ProQuest, 2008.
11. J. Møller and R. P. Waagepetersen, "Modern statistics for spatial point processes", Scandinavian Journal of Statistics, vol. 34, no. 4, pp. 643-684, September 2007.
12. E. Gilbert, "Random subdivisions of space into crystals", The Annals of Mathematical Statistics, vol. 33, no. 3, pp. 958-972, 1962.
13. K. Borovkov and D. Odell, "Simulation studies of some Voronoi point processes", Acta Applicandae Mathemati-cae, vol. 96, no. 1-3, pp. 87-97, 2007.
14. M. Tanemura, "Statistical distributions of Poisson Voronoi cells in two and three dimensions", FORMA-TOKYO-, vol. 18, no. 4, pp. 221-247, November 2003.
15. L. Muche, "Distributional properties of the three-dimensional Poisson Delaunay cell", Journal of Statistical Physics, vol. 84, no. 1-2, pp. 147-167, November 1996.
16. P. Rathie, "On the volume distribution of the typical Poisson-Delaunay cell", Journal of Applied Probability, pp. 740-744, September 1992.
17. R. Miles, "The random division of space", Advances in Applied Probability, pp. 243-266, 1972.
18. R. Schoenen, R. Halfmann, and B. Walke, "MAC performance of a 3GPP-LTE Multihop Cellular Network", in Proceedings of the IEEE ICC'08, Beijing, May 2008.