Collaborative distributed decoding


In a wireless network, multiple communications devices in close proximity form a natural distributed antenna array. If a group of such devices receive in some collaborative manner to exploit the inherent spatial diversity, then the system performance can be significantly improved. This research explores techniques for collaborate reception using multiple devices. This collaborative communication approach is different from traditional array processing because the distributed nature of the communication nodes calls for network-oriented design approaches and processing algorithms. We investigate the method of collaborative distributed decoding to obtain diversity advantage. In this approach, multiple nodes form a distributed antenna array by collaboratively processing a received signal. By exchanging information in a collaborative decoding process, the nodes are able to extract diversity from the channel and decode the message. The main obstacle to this approach is that there is a vast amount of information that can be shared between the nodes. This problem can be solved by using iterative decoding to extract important information from the received signal at each node, and only this information is passed to other nodes. Each node will then utilize the information from other nodes to perform further decoding to obtain the diversity advantage provided by the additional information. The objective is to develop distributed processing techniques that allow us to obtain the maximum degree of diversity advantage from the signals received at multiple receiving nodes, while requiring a minimum amount of information exchange between the nodes.

Sponsors: NSF and ONR

Publications

  1. X. Li, T. F. Wong, and J. M. Shea, "Performance Analysis for Collaborative Decoding with Least-Reliable-Bit Exchange on AWGN Channels," IEEE Transactions on Communications, Oct. 2004. Submitted for publication.
  2. Avudainayagam, J. M. Shea, T. F. Wong, and Y. Fang, "Cooperative diversity techniques in wireless communications," Ad Hoc and Sensor Networks, Y. Xiao and Y. Pan, eds., Nova Science Publishers, 2005.
  3. A. Avudainayagam, J. M. Shea, T. F. Wong, and X. Li, "Collaborative decoding on block fading channels," IEEE Transactions on Communications, Feb. 2003. Submitted for publication. Revised Mar. 2004.
  4. T. F. Wong, X. Li, and J. M. Shea, "Distributed decoding of rectangular parity-check code," Electronics Letters, vol. 38, no. 22, pp. 1364-1365, Oct. 2002.
  5. A. Avudainayagam, J. M. Shea, and T. F. Wong, "Cooperative diversity through reliability filling," in Proceedings of the 41st Annual Allerton Conference on Communications, Control, and Computing, Allerton House, Monticello, IL, Oct. 2003.
  6. J.-W. Moon, J. M. Shea, and T. F. Wong, "Collaborative decoding using turbo codes," in Proceedings of the IEEE Military Communications Conference (MILCOM '03), vol. 1, pp. 452-457, Boston, MA, Oct. 2003.
  7. X. Li, T. F. Wong, and J. M. Shea, "Bit-interleaved rectangular parity-check coded modulation with iterative demodulation in a two-node distributed array,"in Proceedings of the IEEE International Conference on Communications (ICC '03), vol. 4, pp. 2812-2816, Anchorage, AK, May 2003.
  8. A. Avudainayagam, J. M. Shea, T. F. Wong, and X. Li, "Reliability exchange schemes for iterative packet combing in distributed array," in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '03), New Orleans, LA, vol. 2, pp. 832-837, Mar. 2003.
  9. T. F. Wong, X. Li, and J. M. Shea, "Iterative decoding for a two-node distributed array," in Proceedings of the IEEE Military Communications Conference (MILCOM '02), vol. 2, pp. 1320-1324, Oct. 2002.

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Last modified: 11/9/05