Skip to main content

Advertisement

SpringerLink
Log in

Performance Improvement Techniques for OFDM system using Software Defined Radio

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Improved spectral and energy efficiency are two key requirements for the next generation (5G) wireless communication systems. The inefficiency and non-linearity of traditional power amplifiers (PA) pose significant challenges to meet these requirements, especially for multicarrier modulation signals with high peak to average power ratio (PAPR). Orthogonal frequency division multiplexing (OFDM) is currently the most widely used multi carrier modulation technique; it has been adopted in many wireless communication standards including IEEE 802.11, 802.16, 3GPP Long Term Evolution and WiMAX. When a high PAPR signal process through a nonlinear power amplifier (PA), intermodulation distortion is generated, creating out-of-band emission that can interfere with other transmission in adjacent bands. In addition, in-band distortion, which degrades the bit error rate performance, occurs. Hence, I have addressed these problems by employing four different PAPR reduction techniques such as Phase modulation, Rail clipping, Sample and Hold approach and Threshold methods based on amplitude clipping. For practical proof of the proposed concepts, I have chosen software defined radio as an experimental setup that employs USRP N210 as hardware and GNU Radio as software.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Ochiai, H., & Imai, H. (2001). On the distribution of the peak-to-average power ratio in OFDM signals. IEEE Transactions on Communications, 49(2), 282–289.

    Article  MATH  Google Scholar 

  2. Siva Kumar Reddy, B., & Lakshmi, B. (2013). Channel coding and clipping in OFDM for WiMAX using SDR. ACEEE-International Journal on Recent trends in Engineering and Technology, 9, 1–12.

    Google Scholar 

  3. Jiang, T., Guizani, M., Chen, H.-H., Xiang, W., & Wu, Y. (2008). Derivation of PAPR distribution for OFDM wireless systems based on extreme value theory. IEEE Transactions on Wireless Communications, 7(3), 1298–1305.

    Article  Google Scholar 

  4. Mitola, J. (1992). Software radios-survey, critical evaluation and future directions. IEEE National Telesystems Conference, 13/15—-13/23, 19–20.

    Google Scholar 

  5. Texas Instruments (2012). Software Defined Radio, http://www.ti.com/solution/software-defined-radio-sdr-diagram.

  6. Harris, F., Lowdermilk, W.. (2010). Software Defined Radio. Part 22 in a Series of Tutorials on Instrumentation and Measurement.

  7. http://www.gargasz.info/osi-model-how-internet-works/.

  8. Ettus Research, USRP N210 (2012). https://www.ettus.com/product/details/UN210-KIT. Accessed 08 February 2014.

  9. GNU Radio (2012). The GNU Radio Companion. http://www.ece.uvic.ca/~elec350/grc_doc/ar01s01.html.

  10. Thompson, Steven C., Proakis, John G., Zeidler, & James R. (2005). Noncoherent reception of constant envelope OFDM in flat fading channels, IEEE 16th International Symposium on Personal,Indoor and Mobile Radio Communications, PIMRC 2005, 1.

  11. Thompson, Steve C., et al. (2008). Constant envelope OFDM. IEEE Transactions on Communications, 56(8), 1300–1312.

    Article  Google Scholar 

  12. Siva Kumar Reddy, B., & Lakshmi, B. (2015). Minimizing PAPR and Synchronization Errors in OFDM for WiMAX Using Software Defined Radio. Journal of Circuits, Systems and Computers, 24(4), 13–26.

    Google Scholar 

  13. Proakis, J. G. (2001). Digital communications (4th ed.). New York: McGrawHill.

    MATH  Google Scholar 

  14. Simon, M. K., & Alouini, M.-S. (2000). Digital communication over fading channels. New York: John Wiley & Sons Inc.

    Book  Google Scholar 

  15. Patzold, M. (2002). Mobile fading channels. West Sussex, England: John Wiley & Sons.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Kakatiya Institute of Technology and Science, Warangal, Telangana, 506004, India

    B. Siva Kumar Reddy

Authors
  1. B. Siva Kumar Reddy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to B. Siva Kumar Reddy.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reddy, B.S.K. Performance Improvement Techniques for OFDM system using Software Defined Radio. Wireless Pers Commun 91, 1065–1083 (2016). https://doi.org/10.1007/s11277-016-3512-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3512-5

Keywords

Search

Navigation