Asymptotic deployment gain: A simple approach to characterize the SINR distribution in general cellular networks

IEEE Transactions on Communications

Volumn 63, Issue 3, 2015, Pages 962-976

  Guo, Anjin ^a   Haenggi, Martin ^a  

^a University of Notre Dame   (United States)

Author keywords

Cellular networks; Coverage; Gain; Interference; Lattices; Probability; Rayleigh channels; Signal to noise ratio; Stochastic Geometry

Indexed keywords

CRYSTAL LATTICES; MOBILE SECURITY; MOBILE TELECOMMUNICATION SYSTEMS; PROBABILITY; PROBABILITY DISTRIBUTIONS; SIGNAL INTERFERENCE; SPURIOUS SIGNAL NOISE; STOCHASTIC SYSTEMS; WAVE INTERFERENCE; WIRELESS NETWORKS;

CELLULAR NETWORK; COVERAGE; GAIN; RAYLEIGH CHANNEL; STOCHASTIC GEOMETRY;

SIGNAL TO NOISE RATIO;

EID: 84925061868     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2014.2387170     Document Type: Conference Paper

References (32)

1. A. Guo and M. Haenggi, "Asymptotic deployment gain: A new approach to characterize coverage probability," in Proc. IEEE ICC, Jun. 2014, pp. 1-6.
2. J. G. Andrews, F. Baccelli, and R. K. Ganti, "A tractable approach to coverage and rate in cellular networks," IEEE Trans. Commun., vol. 59, no. 11, pp. 3122-3134, Nov. 2011.
3. M. Haenggi, Stochastic Geometry for Wireless Networks. Cambridge, U.K.: Cambridge Univ. Press, 2012.
4. M. Haenggi, J. G. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, "Stochastic geometry and random graphs for the analysis and design of wireless networks," IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1029-1046, Sep. 2009.
5. A. Guo and M. Haenggi, "Spatial stochastic models and metrics for the structure of base stations in cellular networks," IEEE Trans. Wireless Commun., vol. 12, no. 11, pp. 5800-5812, Nov. 2013.
6. J. G. Andrews, R. K. Ganti, M. Haenggi, N. Jindal, and S. Weber, "A primer on spatial modeling and analysis in wireless networks," IEEE Commun. Mag., vol. 48, no. 11, pp. 156-163, Nov. 2010.
7. T. D. Novlan, R. K. Ganti, A. Ghosh, and J. G. Andrews, "Analytical evaluation of fractional frequency reuse for OFDMA cellular networks," IEEE Trans. Wireless Commun., vol. 10, no. 12, pp. 4294-4305, Dec. 2011.
8. H. S. Dhillon, R. K. Ganti, F. Baccelli, and J. G. Andrews, "Modeling and analysis of K-tier downlink heterogeneous cellular networks," IEEE J. Sel. Areas Commun., vol. 30, no. 3, pp. 550-560, Apr. 2012.
9. W. C. Cheung, T. Q. S. Quek, and M. Kountouris, "Throughput optimization, spectrum allocation, and access control in two-tier femtocell networks," IEEE J. Sel. Areas Commun., vol. 30, no. 3, pp. 561-574, Apr. 2012.
10. R. K. Ganti and M. Haenggi, "Interference and outage in clustered wireless ad hoc networks," IEEE Trans. Inf. Theory, vol. 55, no. 9, pp. 4067-4086, Sep. 2009.
11. M. Haenggi and R. K. Ganti, "Interference in large wireless networks," Found. Trends Netw., vol. 3, no. 2, pp. 127-248, 2009.
12. Y. Zhong and W. Zhang, "Multi-channel hybrid access femtocells: A stochastic geometric analysis," IEEE Trans. Commun., vol. 61, no. 7, pp. 3016-3026, Jul. 2013.
13. R. K. Ganti, J. G. Andrews, and M. Haenggi, "High-SIR transmission capacity of wireless networks with general fading and node distribution," IEEE Trans. Inf. Theory, vol. 57, no. 5, pp. 3100-3116, May 2011.
14. R. Giacomelli, R. K. Ganti, and M. Haenggi, "Outage probability of general ad hoc networks in the high-reliability regime," IEEE/ACMTrans. Netw., vol. 19, no. 4, pp. 1151-1163, Aug. 2011.
15. R. K. Ganti and M. Haenggi, "Interference in ad hoc networks with general motion-invariant node distributions," in Proc. IEEE ISIT, Jul. 2008, pp. 1-5.
16. R. K. Ganti and J. G. Andrews, "A new method for computing the transmission capacity of non-Poisson wireless networks," in Proc. IEEE ISIT, Jun. 2010, pp. 1693-1697.
17. H. ElSawy and E. Hossain, "A modified hard core point process for analysis of random CSMA wireless networks in general fading environments," IEEE Trans. Commun., vol. 61, no. 4, pp. 1520-1534, Apr. 2013.
18. M. Haenggi, "Mean interference in hard-core wireless networks," IEEE Commun. Lett., vol. 15, no. 8, pp. 792-794, Aug. 2011.
19. S. P. Weber, X. Yang, J. G. Andrews, and G. de Veciana, "Transmission capacity of wireless ad hoc networks with outage constraints," IEEE Trans. Inf. Theory, vol. 51, no. 12, pp. 4091-4102, Dec. 2005.
20. S. Bandyopadhyay and E. J. Coyle, "An energy efficient hierarchical clustering algorithm for wireless sensor networks," in Proc. IEEE INFOCOM, Mar. 2003, pp. 1713-1723.
21. N. Miyoshi and T. Shirai, "A cellular network model with Ginibre configurated base stations," Adv. Appl. Probab., vol. 46, no. 3, pp. 832-845, 2014.
22. N. Deng, W. Zhou, and M. Haenggi, "The Ginibre point process as a model for wireless networks with repulsion," IEEE Trans. Wireless Commun., vol. 14, no. 1, pp. 107-121, Jan. 2015.
23. J. Riihijarvi and P. Mahonen, "A spatial statistics approach to characterizing and modeling the structure of cognitive wireless networks," Ad Hoc Netw., vol. 10, no. 5, pp. 858-869, Jul. 2012.
24. S. Lin and D. J. Costello, Error Control Coding, 2nd ed. Englewood Cliffs, NJ, USA: Prentice-Hall, 2004.
25. M. D. Renzo, A. Guidotti, and G. E. Corazza, "Average rate of downlink heterogeneous cellular networks over generalized fading channels: A stochastic geometry approach," IEEE Trans. Commun., vol. 61, no. 7, pp. 3050-3071, Jul. 2013.
26. F. Hansen and F. I. Meno, "Mobile fading-Rayleigh and lognormal superimposed," IEEE Trans. Veh. Technol., vol. 26, no. 4, pp. 332-335, Nov. 1977.
27. A. M. D. Turkmani, "Probability of error for M-branch macroscopic selection diversity," Proc. Inst. Elect. Eng., vol. 139, no. 1, pp. 71-78, Feb. 1992.
28. S. Weber and J. G. Andrews, "A stochastic geometry approach to wideband ad hoc networks with channel variations," in Proc. 4th Int. Symp. Model. Optim. Mobile, Ad Hoc Wireless Netw., Apr. 2006, pp. 1-6.
29. B. Blaszczyszyn, M. K. Karray, and H. P. Keeler, "Using Poisson processes to model lattice cellular networks," in Proc. IEEE INFOCOM, Apr. 2013, pp. 773-781.
30. D. Xenakis, N. Passas, L. Merakos, and C. Verikoukis, "Energy-efficient and interference-aware handover decision for the LTE-advanced femtocell network," in Proc. IEEE ICC, Jun. 2013, pp. 2464-2468.
31. K. Nakagawa, "Application of Tauberian theorem to the exponential decay of the tail probability of a random variable," IEEE Trans. Inf. Theory, vol. 53, no. 9, pp. 3239-3249, Sep. 2007.
32. D. J. Daley and D. Vere-Jones, An Introduction to the Theory of Point Processes: Volume II: General Theory and Structure, 2nd ed. New York, NY, USA: Springer-Verlag, 2007.