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Timing Synchronization for Cooperative Communications with Detect and Forward Relaying

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Abstract

A non-data-aided near maximum likelihood (NDA-NML) symbol timing estimator is presented, which is applied to a cooperative communication system with a source, relay and destination. A Cramer rao bound (CRB) for the estimator for asymptotically low signal-to-noise (SNR) ratio case is derived. The timing complexity of the NDA-NML estimator is derived and compared with the correlation based data-aided maximum likelihood (DA-ML) estimator. It is demonstrated that the complexity of the NDA-NML estimator is much less than that of correlation based DA-ML estimator. The bit-error-rate (BER) performance of this system operating in a detect-and-forward (DAF) mode is studied where the channel state information (CSI) is available at the receiver and the symbol timings are estimated independently for each channel. SNR combining (SNRC) and equal ratio combining (ERC) methods are considered. It is found that timing estimation error has a significant effect on BER performance. It is also found that for large timing error the benefit of cooperative diversity could vanish. It is demonstrated that significant gains can be made with both combining methods with cooperation and timing estimation, where the gains are the same for both estimators.

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References

  1. Sendonaris A., Krkip E., Aazhang B. (2003) User cooperative diversity part I: System description. IEEE Transactions on Communications 51(11): 1927–1938

    Article  Google Scholar 

  2. Laneman J., Wornell G. (2003) Distributed space-time coded protocols for exlpoiting cooperative diversity in wireless networks. IEEE Transactions on Information Theory 49(10): 2415–2425

    Article  MathSciNet  Google Scholar 

  3. Laneman J., Tse D., Wornell G. (2004) Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory 50(12): 3062–3080

    Article  MathSciNet  Google Scholar 

  4. Cui S., Goldsmith A. J., Bahai A. (2004) Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal of Selected Areas of Communications 22: 1089–1098

    Article  Google Scholar 

  5. Anghel P. A., Kaveh M. (2004) Exact symbol error probability of a cooperative network in a Rayliegh-fading environment. IEEE Transactions on Wireless Communications 3: 1416–1421

    Article  Google Scholar 

  6. Ribeiro A., Cai X., Giannakis G. B. (2005) Symbol error probabilities for general cooperative links. IEEE Transactions on Wireless Communications 4: 1264–1273

    Article  Google Scholar 

  7. Meitzner, J., & Hoeher, P. A. (2004). Distributed space-time codes for cooperative wireless networks in the presence of different propagation delays and path losses. In Proceedings of the IEEE Sensors Array Multichannel Signal Process (pp. 264–268).

  8. Jagannathan, S., Aghajan, H., & Goldsmith, A. (2004). The effect of time synchronization errors on the performance of cooperative MISO systems. In Proceedings of the IEEE Global Telecommunications Conference Workshops (pp. 102–107).

  9. Mei, Y., Hua, Y., Swami, A., & Daneshrad, B. (2005). Combating synchronization errors in cooperative relays. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 369–372).

  10. Palat, R. C., Annamalai, A., & Reed, J. H. (2006). Efficient ABER analysis of bandlimited cooperative communication under time synchronization errors. In Proceedings of the IEEE Global Telecommunication Conference (pp. 1–5).

  11. Lio X., Wu Y., Serpedin E. (2009) Timing synchronization in decode-and-forward cooperative communication systems. IEEE Transactions on Signal Processing 57(4): 1444–1455

    Article  MathSciNet  Google Scholar 

  12. Azimi-Sadjadi, B., & Mercado, A. (2004). Diversity gain for cooperating nodes in multi-hop wireless networks. In Proceedings of the IEEE VTC-Fall (pp. 1483–1487).

  13. Djapic R., der Veen A.-J. V., Tong L. (2005) Synchronization and packet separation in wireless ad-hoc networks by known modulus algorithm. IEEE Journal of Selected Areas of Communications 23(1): 51–64

    Article  Google Scholar 

  14. Li X. (2005) Space-time coded multi-transmission among distributed transmitters without perfect synchronization. IEEE Signal Processing Lett 11(12): 948–951

    Article  Google Scholar 

  15. Parker, P. A., Bliss, D. W., Mitran, P., & Tarokh, V. (2007). Adaptive frequency synchronization for collaborative communication systems. In Proceedings of the International Conference on Distributed Computing Systems.

  16. Patel C. S., Stuber G. L. (2007) Channel estimation for amplify and forward relay based cooperation diversity systems. IEEE Transactions on Wireless Communications 6(6): 2348–2356

    Article  Google Scholar 

  17. Dogan H. (2009) Maximum a posteriori channel estimation for cooperative diversity orthogonal frequency-division multiplexing systems in amplify-and-forward mode. IET Communications 3(4): 501–511

    Article  MathSciNet  Google Scholar 

  18. Yan, K., Ding, S., Qiu, Y., Wang, Y., & Liu, H. (2008). A low-complexity LMMSE channel estimation method for OFDM-based cooperative diversity systems with multiple amplify-and-forward relays. EURASIP Journal on Wireless Communications and Networking.

  19. Kandeepan, S., & Reisenfeld, S. (2003). DSP based symbol timing estimation techniques. In Proceedings of the IEEE ICICS-PCM’03 (pp. 568–572).

  20. Hossain, M. T., & Kandeepan, S. (2008). Symbol timing estimation using near ML techniques and statistical performance evaluation for binary communications. In Proceedings of the IEEE International Conference on Computer and Information Technology (pp. 486–491).

  21. Hossain M. T., Kandeepan S., Smith D. B. (2009) Timing synchronization for fading channels with different characterizations using near ML techniques. Academy Publisher Journal of Communications 4(6): 404–413

    Google Scholar 

  22. Mengali U., D’Andrea A. N. (1997) Synchronization techniques for digital receivers. Plenum Press, New York and London

    Google Scholar 

  23. Franks L. E. (1980) Carrier and bit synchronization in data communication—A tutorial review. IEEE Transactions on Communications 24: 516–531

    Google Scholar 

  24. Sabel, L. P. (1993). A maximum likelihood approach to symbol timing recovery in digital communications. Phd Thesis, The University of South Australia.

  25. Georghiades C. N., Moenecleay M. (1991) Sequence estimation and synchronization from nonsynchronized samples. IEEE Transactions on Information Theory 37: 1649–1657

    Article  Google Scholar 

  26. Jesupret, T., Moeneclaey, M., & Ascheid, G. (1991). Digital demodulator synchronization-performance analysis. European Space Agency Rep ESTEC Contact No 8437/89/NL/RE.

  27. Proakis J. G. (2001) Digital communications. McGraw-Hill, NY

    Google Scholar 

  28. Aduwo, A., & Annamalai, A. (2004). Channel-aware inter-cluster routing protocol for wireless ad-hoc networks exploiting network diversity. In Proceedings of the IEEE Vehicular Technology Conference (pp. 2858–2862).

  29. Brennan D. G. (2003) Linear diversity combining techniques. Proceedings of the IEEE 91(2): 331–356

    Article  MathSciNet  Google Scholar 

  30. Le K. N. (2009) Performance bounds on BER of OFDMA with pulse shaping and maximal ratio combining diversity. European Transactions on Telecommunications 20(5): 487–493

    Article  Google Scholar 

  31. Alexandropoulos G. C., Papadogiannis A., Berberidis K. (2010) Performance analysis of cooperative networks with relay selection over Nakagami-m fading channels. IEEE Signal Processing Letters 17(5): 441–444

    Article  Google Scholar 

  32. Le K. N. (2010) BER of OFDM in Rayleigh fading environments with selective diversity. Wireless Communications and Mobile Computing 10(2): 306–311

    Google Scholar 

  33. Duong T. Q., Bao V. N. Q., Zepernick H.-J. (2009) On the performance of selection decode-and-forward relay networks over Nakagami-m fading channels. IEEE Communications Letters 13(3): 172–174

    Article  Google Scholar 

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Authors and Affiliations

  1. Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT, Australia

    Md. Tofazzal Hossain, David B. Smith & Sithamparanathan Kandeepan

  2. Canberra Research Laboratory, National ICT Australia, Canberra, ACT, Australia

    Md. Tofazzal Hossain & David B. Smith

  3. CREATE-NET International Research Centre, Trento, Italy

    Sithamparanathan Kandeepan

Authors
  1. Md. Tofazzal Hossain
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  2. David B. Smith
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  3. Sithamparanathan Kandeepan
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Correspondence to Md. Tofazzal Hossain.

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Hossain, M.T., Smith, D.B. & Kandeepan, S. Timing Synchronization for Cooperative Communications with Detect and Forward Relaying. Wireless Pers Commun 62, 363–378 (2012). https://doi.org/10.1007/s11277-010-0057-x

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  • DOI: https://doi.org/10.1007/s11277-010-0057-x

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