Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Bit Error Rate Analysis of Mobile Communication Network in Nakagami Fading Channel: Interference Considerations
Authors: Manoranjan Das, Benudhar Sahu, Urmila Bhanja
Abstract:
Co-channel interference is one of the major problems in wireless systems. The effects of co-channel interference in a Nakagami fading channel on the ABER (Average Bit Error Rate) with static nodes are well analyzed. In this paper, we derive the ABER with the presence of mobile nodes. ABER is also derived for mobile systems in the presence of co-channel interference.
Keywords: ABER, co-channel interference, Nakagami fading.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127970
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1235References:
[1] T.S. Rappaport, Wireless Communications: Principles and Practice, Prentice-Hall, Englewood Cliffs, NJ, 1996.
[2] D. C. Cox, “Co-channel interference considerations in frequency re-use mobile radio,” IEEE Trans. Commun., vol. COM-30, pp. 135–142, Jan. 1982.
[3] M.K. Simon and M. S. Alouini, Digital Communication over Fading Channels, 2nd ed. New York: Wiley, 2005.
[4] J. H. Winter, “Optimum combining in digital mobile radio with cochannel interference,” IEEE J. Select. Areas Commun., vol. SAC-2, pp. 529-539, July 1984.
[5] A. Shah and A. M. Haimovich, “Performance analysis of optimum combining in wireless communications with Rayleigh fading and cochannel interference,” IEEE Trans. Commun., vol. 46, pp. 473-479, Apr. 1998.
[6] Y. Yao and A. U. H. Sheikh, “Investigations into cochannel interference in microcellular mobile radio systems,” IEEE Trans. Veh. Technol., vol. 41, no. 2, pp. 114–123, May 1992.
[7] V. A. Aalo and J. Zhang, “On the effect of cochannel interference on average error rates in Nakagami-fading channels,” IEEE Commun. Lett., Vol. 3, no. 5, pp.136-138, May 1999.
[8] S. Srinivasa and M. Haenggi, “Distance distributions in finite uniformly random network: theory and applications,” IEEE Trans. Veh. Technol. vol. 59, no. 2, pp. 940–949, Feb. 2010.
[9] K. Govindan, K. Zeng, and P. Mohapatra, “Probability density of the received power in mobile networks,” IEEE Trans. on Wireless Commun., vol. 10, no. 11, pp. 3613–3619, Nov. 2011.
[10] S. M. Mousavi, H.R. Rabiee, M. Moshref and A. Dabirmoghaddam, “Mobisim: A framework for simulation of mobility models in mobile ad-hoc networks,” in Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, p.82, October 08-10, 2007.
[11] C. Bettsteller, G. Resta and P. Santi, “The node distribution of the random waypoint mobility model for wireless ad hoc networks,” IEEE Trans. Mobile Comput., vol. 2, no.3, pp. 256-269, Jul. 2003.
[12] Valentine A. Aalo, Constantine Mukasa and George P. Efthymoglou, “Effect of Mobility on the Outage and BER Performances of Digital Transmissions over Nakagami-m Fading Channels,” IEEE Trans. on Vehicular Technology, vol. 65, no.4, April 2016.
[13] I. Gradshteyn and I. M. Ryzhik, Tables of Integrals, Series, and Products, 7th ed. New York: Academic Press, 2000.
[14] M. Abramovitz and I. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York, ISBN 0-486-61272-4: Dover, 1964.
[15] Larry C. Andrew, Special Functions of Mathematics for Engineers, SPIE Press, 1992.