Performance improvement of 4G OFDM systems using CTSTC techniques

  • Authors

    • C Padmaja
    • B L. Malleswari
    https://doi.org/10.14419/ijet.v7i2.21.11850

    Received date: April 21, 2018

    Accepted date: April 21, 2018

    Published date: April 20, 2018

  • Bit error rate, convolutional coded space time coding, turbo coded Space time coding.
  • Abstract

    The concatenation of channel coding and diversity schemes are essential in the 4G communication systems to improve the reliable data rate transmission. To address Bit Error Rate performance enhancement, the paper presents the coding gain and diversity gain benefits using the proposed CTSTC scheme by adding modified Turbo features and Space Time encoding features. Simulation results of are provided using MATLAB and compared the results with convolutional coded Space Time Coding technique.

  • References

    1. Saltburg BR, “Performance of efficient parallel data transmission systems”, IEEE Trans. on Comm. Tech., (1967), pp.805-811.
    2. Weinstein SB & Ebert PM, “Data transmission by frequency-division multiplexing using the discrete Fourier transform”, IEEE Trans. Commun. Technol., Vol.19, (1971), pp.628–6343.
    3. Peled A & Ruiz A, “Frequency Domain Data Transmission using Reduced Computational Complexity Algorithms”, IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol.5, (1980), pp.964 – 967.
    4. Keasler WE, “Reliable Data Communications over the voice band-width Telephone Using Orthogonal Frequency Division Multiplexing”, Ph.D. dissertation, Univ. Illinois, Urbana, Il, (1982).
    5. Hirosaki B, “An Analysis of Automatic Equalizers for Orthogonally Multiplexed QAM Systems”, IEEE Transaction Communication, Vol.28, (1980), pp.73-83.
    6. Hirosaki B, Hasegawa S, & Sabato A, “Advanced Group-band Data Modem Using Orthogonally Multiplexed QAM Technique”, IEEE Trans. Commun., Vol.34, No.6, (1986), pp.587-592.
    7. Cimini LJ, “Analysis and Simulation of a Digital Mobile Channel using Orthogonal Frequency Division multiplexing”, IEEE Transaction Communications, Vol.33, (1985), pp.665-675.
    8. Edfors O, Sandell M, Van de Beek JJ, Wilson SK & Börjesson PO, “OFDM channel estimation by singular value decomposition”, IEEE Trans. Commun., Vol. 46, (1998), pp.931–939.
    9. Li Y & Sollenberger N, “Interference suppression in OFDM systems using adaptive antenna arrays”, IEEE Global Telecomm. Conf.: Commun. The Mini-Conf., Sydney, Australia, (1998), pp.213–218.
    10. Li Y, Seshadri N & Ariyavisitakul S, “Transmitter diversity of OFDM systems with dispersive fading channels”, IEEE Global Telecomm. Conf., Sydney, Australia, (1998), pp.968–973.
    11. Cavers JK, “An analysis of pilot symbol assisted modulation for Rayleigh fading channels”, IEEE Trans. Veh. Technol., Vol.40, (1991), pp. 686–693.
    12. Wan F, Zhu WP, Swamy MNS, “Semiblind sparse channel estimation for MIMO-OFDM systems”, IEEE Transactions on Vehicular Technology, Vol.60, (2011), pp.2569–2582.
    13. Vitthaladevuni PK & Alouini MS, “BER computation of 4/MQAM hierarchical constellations”, IEEE Trans. Broadcasting, Vol. 47, No.3, (2001), pp.228-240.
    14. Cho K & Yoon D, “On the general BER expression of one and two dimensional amplitude modulations”, IEEE Trans. Commun., Vol.50, No.7, (2002), pp.1074–1080.
    15. Yang LL & Hanzo L, “A recursive algorithm for the error probability evaluation of M-QAM”, IEEE Comm. Letters, Vol.4, No.10, (2000), pp.304–306.
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  • How to Cite

    Padmaja, C., & L. Malleswari, B. (2018). Performance improvement of 4G OFDM systems using CTSTC techniques. International Journal of Engineering and Technology, 7(2.21), 131-134. https://doi.org/10.14419/ijet.v7i2.21.11850