Study of Performance of an OFDM Transceiver Using SDR Platform

  • Abhishek Das
  • V. VenkataramananEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 36)


One of the most extensively used modulation scheme in digital communication is orthogonal frequency-division multiplexing (OFDM) in which the data to be transmitted is encoded on multiple carrier frequencies. Fast Fourier transform is used in OFDM due to which the subcarriers can overlap with each other and transmit, without loss in information. The performance using OFDM systems is good in multipath environments due to the fact that the subcarriers are transmitted at a lower data rate. The peak-to-average power ratio (PAPR) for an OFDM signal is large, which is a disadvantage in the current OFDM technology. The signal at the transmitter can be clipped before amplifying in order to reduce the effect of PAPR. In addition to this, OFDM also suffers with the problems of channel fading, phase noise, phase distortion, and image rejection. In this study of OFDM transreceivers, with the help of GNU Radio Companion and SDR, we have made an attempt to create a simulation environment similar to real-time channel conditions, by considering the parameters such as bit error rate, channel fading losses, and Doppler spread, and analysed the performance of OFDM transreceiver system.


SDR GNU Radio Companion OFDM BER SNR Channel models Doppler spread 


  1. 1.
    Grier J (2001) Enabling fast wireless networks with OFDM. Communication systems design online, 02/01/01Google Scholar
  2. 2.
    Paredes MCP, Garcıa MJF-G (2015) The problem of peak-to-average power ratio in OFDM systems. arXiv:1503.08271v1 [cs.IT]. 28 Mar 2015
  3. 3.
    Wyglinski AM, Orofino DP, Ettus MN, Rondeau TW (2016) Revolutionizing software defined radio: case studies in hardware, software, and education. IEEE Commun Mag, Jan 2016CrossRefGoogle Scholar
  4. 4.
    Mack C (2011) Fifty years of moore’s law. Semicond Manufact IEEE Trans 24(2):202–207CrossRefGoogle Scholar
  5. 5.
    Machado RG, Wyglinski AM (2015) Software-defined radio: bridging the analog-digital divide. Proc IEEE 103(3):409–423CrossRefGoogle Scholar
  6. 6.
    Sierra EG, Arroyave GAR (2015) Low cost SDR spectrum analyzer and analog radio receiver using GNU radio, Raspberry Pi2 and SDR-RTL Dongle. 978-1-4673-8451-3/15/$31.00©2015. IEEEGoogle Scholar
  7. 7.
    Sriram S, Srivatsa G (2012) Plug-ins for GNU radio companion. Int J Comput Appl 52(16):0975–8887Google Scholar
  8. 8.
    Vandendorpe L (1995) Multitone spread spectrum multiple access communications system in a multipath rician fading channel. IEEE Trans Veh Technol 44(2)CrossRefGoogle Scholar
  9. 9.
    Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (in billions). StatistaGoogle Scholar
  10. 10.
    Mitola J III (1999) Software radio architecture: a mathematical perspective. IEEE J Select Areas Commun 17(4):514–538CrossRefGoogle Scholar
  11. 11.
    Yeh HG, Ingerson P (2010) Software defined radio for OFDM transceivers. IEEEGoogle Scholar
  12. 12.
    Cholia NS, Rattan M, Makkar N (2018) Implementation of DPSK technique using GNU-radio tool on SDR platform. IJEECS 7(4). ISSN: 2348-117XGoogle Scholar
  13. 13.
    Girish Kumar GH (2014) Development and implementation of OFDM transceiver for WLAN applications. Int J Eng Res Appl 4(7):101–106. ISSN: 2248-9622 (version 1)Google Scholar
  14. 14.
    Pechetty TR, Vemulapalli M An implementation of OFDM transmitter and receiver on reconfigurable platforms. Int J Adv Res Electr Electr Instrum EngGoogle Scholar
  15. 15.
    Witrisal K, Buke K, Kim YH, Prasad R, Lightart LP (2002) Air- interface emulation for wireless broadband communications applied to OFDM. IEEE Int Symp Pers Indoor Mobile Radio Commun Sept 2:1251–1255CrossRefGoogle Scholar
  16. 16.
    Bernard S (1997) Rayleigh fading channels in mobile digital communication systems part I: characterization. IEEE Commun Mag:90–100Google Scholar
  17. 17.
    Chang W-H, Nguyen T (2006) An OFDM-specified lossless FFT architecture. IEEE Trans Circ Syst I Regul Pap 53(6)Google Scholar
  18. 18.
    Pandey S Bit error rate (BER) performance evaluation of reference channel for power line communication (PLC) channel under multipath modeling technique. Int Res J Eng Technol (IRJET). e-ISSN: 2395-0056Google Scholar
  19. 19.
    Abirami M, Gandhiraj R, Soman KP (2013) Performance analysis of real time OFDM based communication system using GNU radio and USRP. Int J Adv Res Comput Sci Softw Eng 3(6)Google Scholar
  20. 20.
    Kumar VVMN (2007) Optimal power allocation for transmitter selection in MISO rayleigh fading channels. In: IEEE Sarnoff Symposium 2007Google Scholar
  21. 21.
    Athanasios P, Pillai S (2001) Probability, random variables and stochastic processes, p 142. ISBN 0073660116Google Scholar
  22. 22.
    Valli V (2010) Optimum recption in AWGN.
  23. 23.
    Sayeed AM, Aazhang B (1999) Joint multipath doppler diversity in mobile wireless communications. IEEE Trans Commun 47:123–132CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and TelecommunicationDwarakadas J. Sanghvi College of EngineeringMumbaiIndia

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