Advertisement

Performance of Error Correction Codes for 5G Communications

  • B. Surendra babuEmail author
  • Idrish shaik
  • N. Venkateswar Rao
Conference paper
  • 5 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 655)

Abstract

The coded modulation scheme emerged as an efficient method to enhance the bandwidth utilization quality of the system in 5G communications. It typically makes use of both the channel coding as well as the simple modulation method. This process effectively adds to the performance of the modulation phenomenon comparatively with respect to un-coded. Among the coding schemes, the low-density parity check coding (LDPC) scheme is highly performing. In this paper, the performance analysis of the codes is carried for the BPSK system in AWGN environment.

Keywords

BPSK LDPC 5G communications Error correction codes 

References

  1. 1.
    Gallager RG (1963) Low-density parity-check codes. MIT Press, Cambridge, MACrossRefGoogle Scholar
  2. 2.
    Lentmaier M Error control coding. Lecture notes. EIT, Lund UniversityGoogle Scholar
  3. 3.
    Rappaport TS (1996) Wireless communications: principles and practice. Prentice-Hall, Upper Saddle River, NJzbMATHGoogle Scholar
  4. 4.
    Tan W, Cruz JR (2004) Performance evaluation of low-density parity-check codes on partial-response channels using density evolution. IEEE Trans Comm 52(8):1253–1256CrossRefGoogle Scholar
  5. 5.
    Shaghaghi M, Cai K, Guan YL, Qin ZL (2011) Markov chain Monte Carlo based detection for two-dimensional intersymbol interference channels. IEEE Trans Magn 47(2):471–478CrossRefGoogle Scholar
  6. 6.
  7. 7.
    Yao J, Teh KC, Li K. H (2012) Iterative detection scheme with LDPC codes for two-dimensional interference channels. In: 2012 IEEE international conference on communication systems (ICCS), IEEE, pp 398–402Google Scholar
  8. 8.
    Yao J, Teh KC, Li KH (2012) Joint iterative detection/decoding scheme for two-dimensional interference channels. IEEE Trans Commun 60(12):3548–3555CrossRefGoogle Scholar
  9. 9.
    Paladuga CS, Vedula CV, Anguera J, Mishra RK, Andújar A (2018) Performance of beamwidth constrained linear array synthesis techniques using novel evolutionary computing tools. Appl Comput Electromag Soc J 33(3):273–278Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • B. Surendra babu
    • 1
    Email author
  • Idrish shaik
    • 1
  • N. Venkateswar Rao
    • 1
  1. 1.Bapatla Engineering CollegeBapatla, GunturIndia

Personalised recommendations