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Performance Evaluation of Different Coding and Modulation Scheme in LTE Using Different Bandwidth and Correlation Levels

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Abstract

Performance of present-generation wireless communication, long term evolution (LTE) is greatly affected by bit error rate (BER). So, objective of this paper is to present a quantitative performance comparison of different modulation techniques based on parameters, BER at different level of signal to noise ratio (SNR) and utilized bandwidth by using different level of correlation in multiple input multiple output (MIMO). The comparative analysis has been done by considering LTE support bandwidths of 1.4, 3, 5, 10, 15 and 20 MHz. This LTE based simulation work for urban areas in a fast moving environment is performed on the basis of different antenna arrays like 2 × 2 and 4 × 4. Comparative evaluation in form of graphical results shows that BER is relatively very low at low level correlation of MIMO and LTE system performance based on the parameter BER is better at 10 MHz bandwidth.

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References

  1. Sesia, S., Toufik, I., & Baker, M. (2009). LTE: The UMTS long term evolution (pp. 1–4). NewYork: Wiley.

    Book  Google Scholar 

  2. ETSI TR 136 913 V10.0.0, (2011) LTE; requirements for further advancements for evolved universal terrestrial radio access (E-UTRA) (LTE-Advanced)”, 3GPP TR 36.913 version 10.0.0 Release 10, European Telecommunications Standards Institute Technical Report, pp. 8. http://www.etsi.org/deliver/etsi_tr\136900_136999\136913\10.00.00_60\tr_136913v100000p.pdf.

  3. Joung, J., Ho, C. K., & Sun, S. (2014). Spectral efficiency and energy efficiency of OFDM systems: Impact of power amplifiers and countermeasures. IEEE Journal on Selected Areas in Communications, 32(2), 208–220.

    Article  Google Scholar 

  4. Yigit, H., Kavak, A., & Kucuk, K. (2010). Capacity improvement for TDD-MIMO systems via AR modeling based linear prediction. Wireless Personal Communications, 52(2), 411–418.

    Article  Google Scholar 

  5. Martín-Sacristán, D., Monserrat, J. F., Cabrejas-Penuelas, J., Calabuig, D., Garrigas, S., & Cardona, N. (2009). On the way towards fourth-generation mobile: 3GPP LTE and LTE-advanced. EURASIP Journal on Wireless Communications and Networking, 2009, 1–10. doi:10.1155/2009/354089.

    Article  Google Scholar 

  6. Shiu, D. S., Foschini, G. J., Gans, M. J., & Kahn, J. M. (2000). Fading correlation and its effect on the capacity of multi-element antenna systems. IEEE Transaction on Communication, 48(3), 502–513.

    Article  Google Scholar 

  7. Büyükçorak, S., & Kurt, G. K. (2012). Spatial correlation and MIMO capacity at 2.4 GHz. Procedia Technology, 3, 9–17. doi:10.1016/j.protcy.2012.03.002.

  8. Lee, W., Lee, I., Kwak, J. S., Ihm, B. C., & Han, S. (2012). Multi-BS MIMO cooperation: Challenges and practical solutions in 4G systems. IEEE Wireless Communications Magazine, 19(1), 89–96.

    Article  Google Scholar 

  9. Nobandegani, K. S., & Azmi, P. (2010). A study of the extreme effects of fading correlation and the impact of imperfect MMSE channel estimation on the performance of SIMO zero-forcing receivers and on the capacity-maximizing strategy in SIMO links. IEEE Transactions on Vehicular Technology, 59(3), 1294–1306.

    Article  Google Scholar 

  10. Vagenas, E., Paschos, G. S., & Kotsopoulos, S. A. (2011). Beamforming capacity optimization for MISO systems with both mean and covariance feedback. IEEE Transactions on Wireless Communications, 10(9), 2994–3001.

    Article  Google Scholar 

  11. Nguyen, T. T., Nguyen, V. T., Hoang, T. A., Nguyen, T. M., & Dang, K. L. (2012). Performance comparisons of detector algorithms for high data rate MIMO–OFDM systems in frequency selective fading channel. IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 1–5. doi:10.1109/ISSPIT.2012.6889111.

  12. Ozcelik, H., Herdin, M., Hofstetter, H., & Bonek, E. (2003). Capacity of different MIMO systems based on indoor measurements at 5.2 GHz. In proceedings on IEEE Personal Mobile Communications Conference (5th European Conf. Publ. No. 492), pp. 463–466, doi: 10.1049/cp:20030298.

  13. Hsieh, P. C., & Chen, F. C. (2009). A new spatial correlation formulation of arbitrary AoA scenarios. IEEE Antennas and Wireless Propagation Letters, 8, 398–401. doi:10.1109/LAWP.2009.2019311.

    Article  Google Scholar 

  14. Werner, K., Jansson, M., & Stoica, P. (2008). On estimation of covariance matrices with Kronecker product structure. IEEE Transactions on Signal Processing, 56(2), 478–491.

    Article  MathSciNet  Google Scholar 

  15. Cho, Y. S., Kim, J., Yang, W. Y., & Kang, C. G. (2010). MIMO–OFDM wireless communications with MATLAB (pp. 84–88). NewYork: Wiley.

    Book  Google Scholar 

  16. Molteni, D., Nicoli, M., & Spagnolini, U. (2011). Performance of MIMO–OFDMA systems in correlated fading channels and non-stationary interference. IEEE Transactions on Wireless Communications, 10(5), 1480–1494.

    Article  Google Scholar 

  17. Kim, H. S., & Daneshrad, B. (2010). Energy-constrained link adaptation for MIMO OFDM wireless communication systems. IEEE Transactions on Wireless Communications, 9(9), 2820–2832.

    Article  Google Scholar 

  18. Morales-Jiménez, D., Paris, J. F., & Entrambasaguas, J. T. (2009). Performance tradeoffs among low-complexity detection algorithms for MIMO–LTE receivers. International Journal of Communication Systems, Wiley InterScience, 22(7), 885–897.

    Article  Google Scholar 

  19. Ketonen, J., Juntti, M., & Cavallaro, J. R. (2010). Performance—complexity comparison of receivers for a LTE MIMO–OFDM system. IEEE Transactions on Signal Processing, 58(6), 3360–3372.

    Article  MathSciNet  Google Scholar 

  20. Astely, D., Dahlman, E., Furuskar, A., Jading, Y., Lindstrom, M., & Parkvall, S. (2009). LTE: The evolution of mobile broadband. IEEE Communication Magazine, 47(4), 44–51.

    Article  Google Scholar 

  21. Qulanet Simulator, Scalable Network Technologies (2012). www.qualnet.com.

  22. Goldsmith, A. (2005). Wireless communications (pp. 25–30, 47, 82). Cambridge: Cambridge University Press.

    Book  Google Scholar 

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Correspondence to Sutanu Ghosh.

Appendix: Mathematical Calculation of Kronecker Product of Eq. (2)

Appendix: Mathematical Calculation of Kronecker Product of Eq. (2)

Let us Consider, the easiest set up of 2 × 2 correlated structure of MIMO to calculate the Kronecker product of complex correlation matrix of UE and eNB.

Taking a correlation matrix for UE as

$$ R_{UE} = \left[ {\begin{array}{*{20}c} 1 & \upsilon \\ {\upsilon^{*} } & 1 \\ \end{array} } \right] $$

and correlation matrix for eNB as

$$ R_{eNB} = \left[ {\begin{array}{*{20}c} 1 & \omega \\ {\omega^{*} } & 1 \\ \end{array} } \right] $$

Then Kronecker product of above two matrices is given by

$$ R_{MIMO} = R_{eNB} \otimes R_{UE} $$
$$ = \left[ {\begin{array}{*{20}c} 1 & \upsilon & \omega & {\omega \upsilon } \\ {\upsilon^{*} } & 1 & {\omega \upsilon^{*} } & \omega \\ {\omega^{*} } & {\omega^{*} \upsilon } & 1 & \upsilon \\ {\omega^{*} v^{*} } & {\omega^{*} } & {\upsilon^{*} } & 1 \\ \end{array} } \right] $$

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Ghosh, S. Performance Evaluation of Different Coding and Modulation Scheme in LTE Using Different Bandwidth and Correlation Levels. Wireless Pers Commun 86, 563–578 (2016). https://doi.org/10.1007/s11277-015-2945-6

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