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Space-Time Coded OFDM with Low PAPR

Abstract

Recently the use of multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems has been proposed for signaling over frequency-selective fading channels. Although various aspects of these systems have been considered in the literature, the problem of the inherent high peak-to-average power ratio (PAPR) is not examined. In this paper, we consider PAPR reduction for MIMO-OFDM systems and propose alternate low-complexity algorithms that can be used in conjunction with the trellis shaping method. We show that a PAPR reduction in the order of 4- can be achieved at the cost of a slight reduction in the spectral efficiency. Furthermore, we compare the trellis shaping technique with other PAPR reduction techniques such as tone reservation and partial transmit sequences.

References

  1. 1.

    Agrawal D, Tarokh V, Naguib A, Seshadri N: Space-time coded OFDM for high data-rate wireless communication over wideband channels. Proc. 48th IEEE Vehicular Technology Conference (VTC '98), May 1998, Ottawa, Ontario, Canada 3: 2232–2236.

    Google Scholar 

  2. 2.

    Rouquette-Leveil S, Gosse K: Space-time coding options for OFDM-based WLANs. Proc. 55th IEEE Vehicular Technology Conference (VTC '02), May 2002, Birmingham, Ala, USA 2: 904–908.

    Article  Google Scholar 

  3. 3.

    El Gamal H, Hammons AR Jr., Liu Y, Fitz MP, Takeshita OY: On the design of space-time and space-frequency codes for MIMO frequency-selective fading channels. IEEE Transactions on Information Theory 2003, 49(9):2277–2292. 10.1109/TIT.2003.815804

    MathSciNet  Article  Google Scholar 

  4. 4.

    Pollet T, Bladel MV, Moeneclaey M: BER sensitivity of OFDM systems to carrier frequency offset and Wiener phase noise. IEEE Transactions on Communications 1995, 43(234):191–193.

    Article  Google Scholar 

  5. 5.

    O'Neill R, Lopes LB: Envelope variations and spectral splatter in clipped multicarrier signals. Proceedings of 6th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '95), September 1995, Toronto, Ontario, Canada 1: 71–75.

    Article  Google Scholar 

  6. 6.

    Tarokh V, Jafarkhani H: On the computation and reduction of the peak-to-average power ratio in multicarrier communications. IEEE Transactions on Communications 2000, 48(1):37–44. 10.1109/26.818871

    Article  Google Scholar 

  7. 7.

    Ochiai H, Imai H: Performance analysis of deliberately clipped OFDM signals. IEEE Transactions on Communications 2002, 50(1):89–101. 10.1109/26.975762

    Article  Google Scholar 

  8. 8.

    Huang X, Lu J, Zheng J, Letaief KB, Gu J: Companding transform for reduction in peak-to-average power ratio of OFDM signals. IEEE Transactions on Wireless Communications 2004, 3(6):2030–2039. 10.1109/TWC.2004.837619

    Article  Google Scholar 

  9. 9.

    van Nee R, de Wild A: Reducing the peak-to-average ratio of OFDM. Proceedings of 48th IEEE Vehicular Technology Conference (VTC '98), May 1998, Ottawa, Ontario, Canada 3: 2072–2076.

    Google Scholar 

  10. 10.

    Wang X, Tjhung TT, Ng CS: Reduction of peak-to-average power ratio of OFDM system using a companding technique. IEEE Transactions on Broadcasting 1999, 45(3):303–307. 10.1109/11.796272

    Article  Google Scholar 

  11. 11.

    Reddy H: Peak to average power reduction for coded MIMO-OFDM, Master's thesis. Arizona State University, Tempe, Ariz, USA; December 2003.

    Google Scholar 

  12. 12.

    Reddy H, Duman TM: Space-time coded OFDM with low PAPR. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '03), December 2003, San Francisco, Calif, USA 2: 799–803.

    Article  Google Scholar 

  13. 13.

    Henkel W, Wagner B: Another application for trellis shaping: PAR reduction for DMT (OFDM). IEEE Transactions on Communications 2000, 48(9):1471–1476. 10.1109/26.870014

    Article  Google Scholar 

  14. 14.

    Ochiai H: A novel trellis-shaping design with both peak and average power reduction for OFDM systems. IEEE Transactions on Communications 2004, 52(11):1916–1926. 10.1109/TCOMM.2004.836593

    Article  Google Scholar 

  15. 15.

    Schlegel C: Trellis Coding. IEEE Press, Piscataway, NJ, USA; 1997.

    Google Scholar 

  16. 16.

    Viterbi AJ, Omura JK: Principles of Digital Communication and Coding. McGraw-Hill, New York, NY, USA; 1979.

    Google Scholar 

  17. 17.

    Alamouti SM: A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications 1998, 16(8):1451–1458. 10.1109/49.730453

    Article  Google Scholar 

  18. 18.

    Yang Q, Blum RS: Optimum space time convolutional codes. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC '00), September 2000, Chicago, Ill, USA 3: 1351–1355.

    Google Scholar 

  19. 19.

    Tarokh V, Seshadri N, Calderbank AR: Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Transactions on Information Theory 1998, 44(2):744–765. 10.1109/18.661517

    MathSciNet  Article  Google Scholar 

  20. 20.

    Müller S, Bäuml R, Fischer R, Huber J: OFDM with reduced peak-to-average power ratio by multiple signal representation. Annals of Telecommunications 1997, 52(1–2):58–67.

    Google Scholar 

  21. 21.

    Tellado J: Multicarrier Modulation with Low PAR : Applications to DSL and Wireless, Kluwer International Series in Engineering and Computer Science. Volume 587. Kluwer Academic, Boston, Mass, USA; 2000.

    Google Scholar 

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Correspondence to Anand Venkataraman.

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Venkataraman, A., Reddy, H. & Duman, T.M. Space-Time Coded OFDM with Low PAPR. EURASIP J. Adv. Signal Process. 2006, 087125 (2006). https://doi.org/10.1155/ASP/2006/87125

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Keywords

  • Information Technology
  • Orthogonal Frequency Division Multiplex
  • Quantum Information
  • Fading Channel
  • Reduction Technique