Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Joint maximum likelihood detection and link selection for cooperative MIMO relay systems

In this study, the authors propose a cross layer design strategy that consists of a cooperative maximum likelihood detector operating in conjunction with link selection for cooperative multiple-input multiple-output relay networks. The system considered is a two phase relaying model, with amplify-and forward relays. The model considers the effect of relay placement and of large scale shadowing. The authors develop a cooperative maximum likelihood detector for an arbitrary number of relays, and link selection schemes are devised for two scenarios relating to the available knowledge at the destination node, which considers relay combination, with complexity analysis. The authors also propose a cooperative list sphere decoder that processes soft information and implements an iterative detection and decoding scheme. The results of simulations of the systems are presented, with comparisons to system models used in previous literature, and show how the cooperative detector and the proposed link selection schemes affect the bit error rate performance at the destination node, for both the hard decision non-iterative case, and the soft information iterative processing case.

References

    1. 1)
    2. 2)
    3. 3)
      • 21. Michalopoulos, D.S., Suraweera, H.A., Karagiannidis, G.K., Schober, R.: ‘Amplify-and-Forward relay selection with outdated channel state information’. Global Telecommunications Conf. (GLOBECOM), Miami, Florida, USA, 2010, pp. 16.
    4. 4)
    5. 5)
      • 18. Nasri, A., Schober, R.: ‘Performance of cooperative diversity systems in Non-Gaussian environments’. IEEE Int. Conf. on Communications (ICC), Cape Town, South Africa, 2010, pp. 16.
    6. 6)
    7. 7)
    8. 8)
    9. 9)
      • 22. Ikhlef, A., Michalopoulos, D.S., Schober, R.: ‘Buffers improve the performance of relay selection’. Global Telecommunications Conf. (GLOBECOM), Houston, Texas, USA, 2011, pp. 16.
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
      • 13. Han, S., Tellambura, C.: ‘Complexity-efficient detection for MIMO relay networks’. Canadian Workshop on Information Theory (CWIT), Kelowna, British Columbia, 2011, pp. 126129.
    17. 17)
      • 26. Studer, C.: ‘Iterative MIMO decoding: algorithms and VLSI implementation aspects’. Ph.D. thesis, ETH Zurich, Zurich, 2009.
    18. 18)
      • 23. Yang, J., Zhang, Z., Meng, W.: ‘A novel relay selection scheme in multi-antenna cooperative systems’. IEEE Int. Conf. on Software Engineering and Service Sciences (ICSESS), Beijing, China, 2010, pp. 427430.
    19. 19)
      • 12. Amiri, K., Wu, M., Duarte, M., Cavallaro, J.R.: ‘Physical layer algorithm and hardware verification of MIMO relays using cooperative partial detection’. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Dallas, Texas, USA, 2010, pp. 56145617.
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • 14. Hesketh, T., Clarke, P., de Lamare, R.C., Wales, S.: ‘Joint maximum likelihood detection and power allocation in cooperative MIMO relay systems’. Int. Workshop on Smart Antennas (WSA), Dresden, Germany, 2012, pp. 325331.
    30. 30)
      • 3. Dohler, M., Li, Y.: ‘Cooperative communications: hardware, channel & PHY’ (John Wiley & Sons, Chichester, UK, 2010).
    31. 31)
      • 8. Huang, W.J., Hong, Y.W., Kuo, C.C.: ‘Decode-and-forward cooperative relay with multi-user detection in uplink CDMA networks’. Proc. IEEE Global Telecommunications Conf., Washington, DC, USA, 2007, pp. 43974401.
    32. 32)
    33. 33)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2013.0882
Loading

Related content

content/journals/10.1049/iet-com.2013.0882
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address