Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Naïve Decode-and-Forward Relay Achieves Optimal DMT for Cooperative Underwater Communication

  • Shin, Won-Yong (Department of Computer Science and Engineering, Dankook University) ;
  • Yi, Hyoseok (School of Engineering and Applied Sciences, Harvard University)
  • Received : 2013.08.21
  • Accepted : 2013.09.26
  • Published : 2013.12.31
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Abstract

Diversity-multiplexing tradeoff (DMT) characterizes the fundamental relationship between the diversity gain in terms of outage probability and the multiplexing gain as the normalized rate parameter r, where the limiting transmission rate is give by rlog SNR (here, SNR denote the received signal-to-noise ratio). In this paper, we analyze the DMT and performance of an underwater network with a cooperative relay. Since over an acoustic channel, the propagation delay is commonly considerably higher than the processing delay, the existing transmission protocols need to be explained accordingly. For this underwater network, we briefly describe two well-known relay transmissions: decode-and-forward (DF) and amplify-and-forward (AF). As our main result, we then show that an instantaneous DF relay scheme achieves the same DMT curve as that of multiple-input single-output channels and thus guarantees the DMT optimality, while using an instantaneous AF relay leads at most only to the DMT for the direct transmission with no cooperation. To validate our analysis, computer simulations are performed in terms of outage probability.

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References

  1. E. M. Sozer, M. Stojanovic, and J. G. Proakis, "Underwater acoustic networks," IEEE Journal of Oceanic Engineering, vol. 25, no. 1, pp. 72-83, 2000. https://doi.org/10.1109/48.820738
  2. M. Stojanovic, "On the relationship between capacity and distance in an underwater acoustic communication channel," ACM SIGMOBILE Mobile Computing and Communications Review, vol. 11, no. 4, pp. 34-43, 2007. https://doi.org/10.1145/1347364.1347373
  3. T. Cover and A. E. Gamal, "Capacity theorem for the relay channel," IEEE Transactions on Information Theory, vol. 25, no. 5, pp. 572-584, 1979. https://doi.org/10.1109/TIT.1979.1056084
  4. A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversity, Part I: System description," IEEE Transactions on Communications, vol. 51, no. 11, pp. 1927-1938, 2003. https://doi.org/10.1109/TCOMM.2003.818096
  5. J. N. Laneman, D. N. C. Tse, and G. W. Wornell, "Cooperative diversity in wireless networks: efficient protocols and outage behavior," IEEE Transactions on Information Theory, vol. 50, no. 12, pp. 3062-3080, 2004. https://doi.org/10.1109/TIT.2004.838089
  6. C. Carbonelli and U. Mitra, "Cooperative multihop communication for underwater acoustic networks," in Proceedings of 1st ACM International Workshop on Underwater Networks, Los Angeles: CA, pp. 97-100, 2006.
  7. M. Vajapeyam, S. Vedentam, U. Mitra, J. C. Preisig, and M. Stojanovic, "Distributed space-time cooperative schemes for underwater acoustic communications," IEEE Journal of Oceanic Engineering, vol. 33, no. 4, pp. 489-501, 2008. https://doi.org/10.1109/JOE.2008.2005338
  8. N. Richard and U. Mitra, "Sparse channel estimation for cooperative underwater communications: a structured multichannel approach," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas: NV, pp. 5300-5303, 2008.
  9. K. Tu, T. M. Duman, J. G. Proakis, and M. Stojanovic, "Cooperative MIMO-OFDM communications: receiver design for Doppler-distorted underwater acoustic channels," in Proceedings of the 44th Asilomar Conference on Signals, Systems and Computers, Pacific Grove: CA, pp. 1335-1339, 2010.
  10. L. Zheng and D. N. C. Tse, "Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels," IEEE Transactions on Information Theory, vol. 49, no. 5, pp. 1073-1096, 2003. https://doi.org/10.1109/TIT.2003.810646
  11. K. Azarian, H. El Gamal, and P. Schniter, "On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels," IEEE Transactions on Information Theory, vol. 51, no. 12, pp. 4152-4172, 2005. https://doi.org/10.1109/TIT.2005.858920
  12. S. Yang and J. C. Belfiore, "Towards the optimal amplify-andforward cooperative diversity scheme," IEEE Transactions on Information Theory, vol. 53, no. 9, pp. 3114-3126, 2007. https://doi.org/10.1109/TIT.2007.903133
  13. R. J. Urick, Principles of Underwater Sound, 3rd ed. New York, NY: McGraw-Hill, 1983.
  14. Z. Han, Y. L. Sun, and H. Shi, "Cooperative transmission for underwater acoustic communications," in Proceedings of the IEEE International Conference on Communications, Beijing, China, pp. 2028-2032, 2008.
  15. H. Minn, V. K. Bhargava, and K. B. Letaief, "A robust timing and frequency synchronization for OFDM systems," IEEE Transactions on Wireless Communications, vol. 2, no. 4, pp. 822- 839, 2003.
  16. Y. Zhao, R. Adve, and T. J. Lim, "Improving amplify-and-forward relay networks: optimal power allocation versus selection," IEEE Transactions on Wireless Communications, vol. 6, no. 8, pp. 3114- 3123, 2007.
  17. X. Geng and A. Zielinski, "An eigenpath underwater acoustic communication channel model," in Proceedings of MTS/IEEE OCEANS'95: Challenges of Our Changing Global Environment, San Diego: CA, pp. 1189-1196, 1995.
  18. W. Y. Shin, S. Y. Chung, and Y. H. Lee, "Diversity-multiplexing tradeoff and outage performance for Rician MIMO channels," IEEE Transactions on Information Theory, vol. 54, no. 3, pp. 1186-1196, 2008. https://doi.org/10.1109/TIT.2007.915884
  19. A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th ed. New York, NY: McGraw-Hill, 2002.
  20. E. Telatar, "Capacity of multi-antenna Gaussian channels," European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, 1999. https://doi.org/10.1002/ett.4460100604