Advertisement

Wireless Personal Communications

, Volume 82, Issue 2, pp 799–809 | Cite as

Adaptive Multi-Layered Space-Time Block Coded Systems in Wireless Environments

  • Samir Al-Ghadhban
Article
  • 96 Downloads

Abstract

Multi-layered space-time block coded systems (MLSTBC) strike a balance between spatial multiplexing and transmit diversity. In this paper, we analyze the block error rate performance of MLSTBC. In addition, we propose an adaptive MLSTBC schemes that are capable of accommodating the channel signal-to-noise ratio variation of wireless systems by near instantaneously adapting the uplink transmission configuration. The main results demonstrate that significant effective throughput improvements can be achieved while maintaining a certain target bit error rate.

Keywords

MIMO systems STBC Multi-layered Adaptive schemes 

Notes

Acknowledgments

The author would like to acknowledge the support provided by King Fahd University of Petroleum and Minerals (KFUPM) through Deanship of Scientific Research (DSR) grant RG1312. In addition, the work was partially supported by King Abdullah University of Science and Technology (KAUST) project number EE002355.

References

  1. 1.
    Foschini, G., & Gans, M. (1998). On the limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications, 6(3), 311–335.CrossRefGoogle Scholar
  2. 2.
    Wolniansky, P. W., Foschini, G. J., Golden, G. D., & Valenzuela, R. A. (1998). V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In ISSSE, pp. 295–300.Google Scholar
  3. 3.
    Alamouti, S. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16, 1451–1458.CrossRefGoogle Scholar
  4. 4.
    Tarokh, V., Jafarkhani, H., & Calderbank, A. (1999). Combined array processing and space time coding. IEEE Transactions on Information Theory, 45, 1121–1128.CrossRefzbMATHMathSciNetGoogle Scholar
  5. 5.
    Tao, M., & Cheng, R. (2004). Generalized layered space-time codes for high data rate wireless communications. IEEE Transactions on Wireless Communications, 3, 1067–1075.CrossRefGoogle Scholar
  6. 6.
    Mohammad, B. W. M., Al-Ghadhban, S., & Tranter, W. (2004). Comparing decoding algorithms for multi-layer space-time block codes. In IEEE SoutheastCon, pp. 147–152.Google Scholar
  7. 7.
    Xia, M.-H., Zhou, Y.-P., & Wen, W.-K. (2008). Combining alamouti coding with v-blast through dynamic antenna grouping. Tongxin Xuebao/Journal on Communication, 29(12), 108–114.Google Scholar
  8. 8.
    Jung, S., & Lee, J. (2009). A new ml based interference cancellation technique for layered space-time codes. IEEE Transactions on Communications, 57(4), 930–936.CrossRefGoogle Scholar
  9. 9.
    Syafei, W., Nagao, Y., Imashioya, R., Kurosaki, M., Sai, B., & Ochi, H. (2009). Design of 600 Mbps MIMO wireless LAN system using GLST coding and its FPGA implementation. In RWS 2009 IEEE radio and wireless symposium, proceedings, pp. 296–299.Google Scholar
  10. 10.
    Hanzo, L., Wong, C., & Yee, M. (2002). Adaptive wireless transceivers: Turbo-coded, turbo-equalized and space-time coded TDMA, CDMA, and OFDM systems. New Jersy, USA: Wiley.CrossRefGoogle Scholar
  11. 11.
    Webb, W., & Steele, R. (1995). Variable rate QAM for mobile radio. IEEE Transactions on Communications, 43, 2223–2230.CrossRefGoogle Scholar
  12. 12.
    Goldsmith, A., & Soon-Ghee, C. (1997). Variable-rate variable-power MQAM for fading channels. IEEE Transactions on Communications, 45(10), 1218–1230.CrossRefGoogle Scholar
  13. 13.
    Yang, S. L. P., Xiao, Y., & Hanzo, L. (2014). QRD-assisted adaptive modulation-aided MIMO systems. IEEE Transactions on Vehicular Technology, 63(1), 446–451.CrossRefGoogle Scholar
  14. 14.
    Maaref, A., & Aissa, S. (2004). Rate-adaptive M-QAMin MIMO diversity systems using space-time block codes. In IEEE international symposium on personal, indoor and mobile radio communications, PIMRC, pp. 2294–2298.Google Scholar
  15. 15.
    Zhou, Z., & Vucetic, B. (2011). Adaptive coded MIMO systems with near full multiplexing gain using outdated CSI. IEEE Transactions on Wireless Communications, 10(1), 294302.Google Scholar
  16. 16.
    Song, K., Ekbal, A., Chung, S., & Cioffi, J. (2006). Adaptive modulation and coding (AMC) for bitinterleaved coded OFDM (BIC-OFDM). IEEE Transactions on Wireless Communications, 5, 1685–1694.CrossRefGoogle Scholar
  17. 17.
    Ko, Y., & Tepedelenlioglu, C. (2003). Adaptive modulation for MIMO systems with V-BLAST detection. In IEEE vehicular technology conference, VTC/Spring, pp. 1074–1078.Google Scholar
  18. 18.
    Simon, M., & Alouini, M. (2000). Digital communication over generalized fading channels: A unified approach to performance analysis. New York: Wiley.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Electrical Engineering DepartmentKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia

Personalised recommendations