Enhancement of MIMO QoS Using RNS Coding over Various Channels

AUTHOR(S):

M. I. Youssef, A. E. Emam, M. Abd Elghany

TITLE

Enhancement of MIMO QoS Using RNS Coding over Various Channels

ABSTRACT

The performance of wireless communication systems is affected mainly by the environment of its associated channel, which is characterized by a dynamic and unpredictable behaviour. In this paper different statistical satellite channel models are studied with emphasize on two main models, first is the Rice-Log normal model, due to its close representation for the satellite channel environment including shadowing and multi-path components that affect the propagated signal along its path, and second a three state model that take into account different fading conditions (clear area, moderate shadow and heavy shadowing). The communication system is enhanced through the usage of Residue-Number-System coding making benefit of its inherent features that is highlighted in the paper. The transmission system Bit Error Rate (BER), Peak-Average-Power Ratio (PAPR), and the channel capacity for each fading models are measured and analysed. These simulations are implemented using MATLAB tool and the results had shown the performance of transmission system over different channel models.

KEYWORDS

Fading channels, MIMO communication, QoS, RNS Scheme, Statistical modeling

REFERENCES

[1] Biradar, R. (2015, July). Study and Analysis of 2x2 MIMO Systems for Different Modulation Techniques Using MATLAB. Retrieved September 10, 2017, from http://www.techrepublic.com/resource-library/whitepapers/study-and-analysis-of-2x2-mimo-systems-for-different-modulation-techniques-using-matlab/

[2] Tanmeet, K. (2013). “Performance Evaluation of MIMO Systems with varying number of transmitting antennas”, International Journal of Innovation research in electrical, electronics, instrumentation and control engineering, 1(2), 6th ser., 38-40.

[3] Abd-ElFattah, O. (2016, Jan). Data Conversion in Residue Number System. A thesis submitted to McGill University in partial fulfillment of the requirements for the degree of Master of Engineering. Montreal, Canada.

[4] H. Ozcelik and C. Oestges, "Some remarkable properties of diagonally correlated MIMO channels," IEEE Transactions on Vehicular Technology, vol. 54, pp. 2143-2145, 2005.

[5] C. E. Shannon, "A Mathematical Theory of Communication," Bell System Technical Journal, vol. 27, pp. 379-423(Part 1), 623-656(Part 2), 1948.

[6] P.Sunil Kumar, Performance Analysis of 2×n MIMO Systems in Rayleigh Channels with Maximum Likelihood Equalization Scheme. International Journal of Advanced Research in Computer Science and Software Engineering. Volume 3, Issue 6, June 2013

[7] S. R. Saunders and A. Aragon-Zavala, Antennas and Propagation for Wireless Communication Systems, 2nd ed. Chichester: John Wiley, 2007.

[8] H. Suzuki, “A statistical model for urban radio propogation,” Communications, IEEE Transactions on, vol. 25, no. 7, pp. 673 – 680, jul 1977.

[9] E. Elliot, “Estimates of error rates for codes on burst-noise channels.”Bell Systems Technical Journal, vol. 42, pp. 1977–1997, September 1963

[10] C. Loo, “A statistical model for a land mobile satellite link,” Vehicular Technology, IEEE Transactions on, vol. 34, no. 3, pp. 122 – 127, aug 1985.

[11] G. Corazza, C. Ferrarelli, and F. Vatalaro, “A rice-lognormal terrestrial and satellite channel model,” in Universal Personal Communications, 1994. Record., 1994 Third Annual International Conference on, sep-1 oct 1994, pp. 155 –159

[12] F. Vatalaro, “Generalised rice-lognormal channel model for wireless communications,” Electronics Letters, vol. 31, no. 22, pp. 1899 –1900, oct 1995.

[13] F. Fontan, M. Vazquez-Castro, C. Cabado, J. Garcia, and E. Kubista, “Statistical modeling of the lms channel,” Vehicular Technology, IEEE Transactions on, vol.50, no. 6, pp. 1549 –1567, nov 2001.

[14] Y. Karasawa, K. Minamisono, and T. Matsudo, “A propagation channel model for personal mobile satellite services,” 1994

[15] T. Gillespie and C. Robertson, “An improved markov model for the urban sotm channel,” in Military Communications Conference, 2008. MILCOM 2008. IEEE, nov. 2008, pp. 1 –8.

[16] A. Omondi and B. Premkumar, Residue number systems: theory and implementation. Imperial College Press, 2007.

[17] Idris Abiodun Aremu, “An overview of Residue Number System” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 6, Issue 10, October 2017, ISSN: 2278–1323

[18] Ramoni Adeogun, “Capacity and Error Rate Analysis of MIMO Satellite Communication Systems in Fading Scenarios”, International Journal of Electrical and Computer Engineering (IJECE) Vol. 4, No. 4, August 2014, pp. 614~622.

[19] Paredes, M. (2015). Reduction of peak-to-average power ratio in OFDM systems. doi:10.14711/thesis-b650985

Cite this paper

M. I. Youssef, A. E. Emam, M. Abd Elghany. (2018) Enhancement of MIMO QoS Using RNS Coding over Various Channels. International Journal of Communications, 3, 43-50