Performance Comparison of Uncoded and ZigZag Coded IDMA

  • Shiva KaushikEmail author
  • Aasheesh Shukla
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 989)


Wireless communication should be band limited and have the ability to provide low complexity at the receiver side, have to remain springy by reverence in the direction of information level, and offer modification compared to fading. So the scheme that provides all these things is interleave division multiple access (IDMA). IDMA can be considered as fifth generation nonorthogonal multiple access scheme (NOMA) and almost inherits all the advantages of code division multiple access (CDMA) In this paper the new zigzag coded based IDMA is presented and simultaneously the performance improvement is verified by comparing it by uncoded IDMA. Simulation experiments have been performed at different data length and Spreadlength establish the better BER performance of zigzag-coded IDMA.


IDMA Zigzag code BER Decoding complexity Encoder 


  1. 1.
    Ping, L., Huang, X., Phamdo, N.: Zigzag codes and concatenated zigzag codes. IEEE Trans. Inf. Theory 47(2), 800–807 (2001)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Bilim, M., Kapucu, N., Develi, I.: Effect of repetition coding on the BER performance of interleave-division multiple access systems. IEEE 21(4) (2015)Google Scholar
  3. 3.
    Huang, X., Phamdo, N., Ping, L.: BER bounds on parallel concatenated single parity check arrays and zigzag codes. In: Global Telecommunications Conference, GLOBECOM ‘99, vol. 5, pp. 2436–2440 (1999)Google Scholar
  4. 4.
    Zheng, W., tao Song, W., Zhang, H.-B., Liu, X.Z.: Design of concatenated turbo-SPC coded space-time systems. J. Shanghai Univ. (English Edition) 11, 385 (2007). ISSN 1007-6417CrossRefGoogle Scholar
  5. 5.
    Berrou, C., Glavieux, A., Thitimajshima, P.: Near Shannon limit error correcting coding and decoding: turbo-codes. In: IEEE International Conference on Communications, 1993, ICC’ 93 Geneva, Technical Program, Conference Record, vol. 2, pp. 1064–1070 (1993)Google Scholar
  6. 6.
    Ping, Li, Liu, Lihai, Wu, K.Y., Leung, W.K.: Performance analysis of interleave division multiple access scheme with different coding techniques. IEEE Trans. Wirel. Commun. 5(4), 938–947 (2006)CrossRefGoogle Scholar
  7. 7.
    Berrou, C., Glavieux, A.: Near optimum error correcting coding and decoding: turbocodes. IEEE Trans. Commun. 44(10) (1996)CrossRefGoogle Scholar
  8. 8.
    Viterbi, Andrew J.: Very low rate convolutional codes for maximum theoretical performance of spread spectrum multiple-access channels. IEEE J. Select. Areas Communication 8, 641–649 (1990)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Electronics and Communication Engineering DepartmentG.L.A UniversityMathuraIndia

Personalised recommendations