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Optimal power allocation in DS-CDMA with adaptive SIC technique

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Abstract

This paper proposes an optimal power allocation in direct sequence-code division multiple access (DS-CDMA) system. The objective is to minimize total transmit power, while simultaneously meeting the certain sum channel capacity (data transmission rate) and outage probability constraints on Rayleigh fading channel. Then a weighted correlator with an adaptive successive interference cancelation (SIC) scheme is developed using neural network (NN) for an improvement in receiver performance. A closed mathematical form of joint probability of error (JPOE) is derived. This determines the number of active users’ interfering effect that needs to be canceled in order to achieve a desired bit error rate (BER) value. Mathematical analysis shows that better receiver performance can be achieved through large change in weight up-gradation (w) for the strong users with a particular change in learning rate (η). Simulation results in terms of sum capacity as well as weak user’s (users with poor channel gain) capacity, outage probability and BER performance duly support the effectiveness of the proposed scheme over the existing works.

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References

  1. Andrews, J. G., & Meng, T. H. Y. (2004). Performance of multicarrier CDMA with successive interference cancellation in a multipath fading channel. IEEE Transactions on Communications, 52, 811–822.

    Article  Google Scholar 

  2. Aurna, T., & Suganthi, M. (2012). Variable power adaptive MIMO OFDM system under imperfect CSI for mobile ad hoc networks. Telecommunication Systems, 50, 47–53.

    Article  Google Scholar 

  3. Belmega, E. V., Lasaulce, S., Debbah, M, Jungers, M., & Dumont, J. (2011). Power allocation games in wireless networks of multiantenna terminals. Telecommunication Systems, 47, 109–122.

    Article  Google Scholar 

  4. Bhattacharya, R., & Biswas, T. (2006). A novel two stage interference cancellation scheme for uplink transmission of multi-user cyclic prefix-assisted CDMA system. In National conference on communications (NCC-2007), IIT Kanpur (pp. 473–477).

    Google Scholar 

  5. Buzzi, S., & Poor, H. V. (2008). Joint transmitter and receiver optimization for energy-efficient CDMA communications. IEEE Journal on Selected Areas in Communications, 26, 459–472.

    Article  Google Scholar 

  6. Cooper, G. R., & McGillem, C. D. (1986). Modern communications and spread spectrum. Singapore: McGraw-Hill.

    Google Scholar 

  7. Divasalar, D., Simon, M. K., & Raphaeli, D. (1998). Improved parallel interference cancellation for CDMA. IEEE Transactions on Communications, 46, 258–268.

    Article  Google Scholar 

  8. Dogahe, B. M., Murthi, M. N., Fan, X., & Premaratne, K. (2010). A distributed congestion and power control algorithm to achieve bounded average queuing delay in wireless network. Telecommunication Systems, 44, 307–320.

    Article  Google Scholar 

  9. Dua, A., Desai, U. B., & Mallik, R. K. (2004). Minimun probability of error methods for adaptive multiuser detection in multipath DS-CDMA channels. IEEE Transactions on Wireless Communications, 3, 939–947.

    Article  Google Scholar 

  10. Fang, L., & Milstein, L. B. (2001). Performance of successive interference cancellation in convolutionally coded multicarrier DS-CDMA systems. IEEE Transactions on Communications, 49, 2062–2067.

    Article  Google Scholar 

  11. Goldsmith, A. J., Jafar, S. A., Maric, I., & Srinivasa, S. (2009). Breaking spectrum gridlock with cognitive radios: an information theoretic perspective. Proceedings of the IEEE, 97(5), 894–914.

    Article  Google Scholar 

  12. Kang, X., Liang, Y. C., & Garg, H. K. (2008). Outage probability minimization under both the transmit and interference power constraints for fading channels in cognitive radio networks. In IEEE ICC workshop, Beijing, China (pp. 482–486).

    Google Scholar 

  13. Kim, S., & Lee, J. H. (2001). Performance of iterative multiuser detection with a partial PIC detector and serial concatenated codes. In IEEE 54th vehicular technology conference, pp. 487–491.

    Google Scholar 

  14. Lok, T. M., & Wong, T. F. (2000). Transmitter and receiver optimization in multicarrier CDMA systems. IEEE Transactions on Communications, 48, 1197–1207.

    Article  Google Scholar 

  15. Lupas, R., & Verdu, S. (1989). Linear multiuser detectors for synchronous code division multiple access channels. IEEE Transactions on Information Theory, 35, 123–136.

    Article  Google Scholar 

  16. Maity, S. P., Ghose, M., & Maity, S. (2007). Efficient PIC technique for performance improvement in synchronous CI/MC-CDMA uplink using fuzzy logic. In Proceedings of the 13th national conference on communications, IIT Kanpur, India (pp. 295–300).

    Google Scholar 

  17. Maity, S. P., Maity, S., & Sil, J. (2012). Multicarrier spread spectrum watermarking for secure error concealment in fading channel. Telecommunication Systems, 49, 219–229.

    Article  Google Scholar 

  18. Phadikar, A., Maity, S. P., & Delpha, C. (2012). Image error concealment and quality access control based on data hiding and cryptography. Telecommunication Systems, 49, 239–254.

    Article  Google Scholar 

  19. Prasad, R. (1996). CDMA for wireless communication. Boston: Artech House.

    Google Scholar 

  20. Rajasekaram, S., & Vijayalakshmi Pai, G. A. (2003). Neural network, fuzzy logic and genetic algorithms. New Delhi: Prentice Hall.

    Google Scholar 

  21. Rappaport, T. S. (1996). Wireless communications: principles and practice. Engilewood Cliffs: Prentice Hall.

    Google Scholar 

  22. Reynolds, D., & Wang, X. (2003). Adaptive transmitter optimization for blind and group-blind multiuser detection. IEEE Transactions on Signal Processing, 51, 825–838.

    Article  Google Scholar 

  23. Seo, K., & Yang, L. (2006). Joint transceiver optimization in MC-CDMA systems exploiting multipath and spectral density. In Proc. IEEE GLOBECOM (pp. 1–5).

    Google Scholar 

  24. Shen, Z., Andrews, J. G., & Evans, B. L. (2005). Adaptive resource allocation in multi-user OFDM systems with proportional rate constraints. IEEE Transactions on Wireless Communications, 4(6), 2726–2737.

    Article  Google Scholar 

  25. Simon, M. K., Omura, J. K., Scholtz, R. A. S., & Levitt, B. K. (2002). Spread spectrum communication handbook electronic. New York: McGraw-Hill.

    Google Scholar 

  26. Sklar, B. (1997). Rayleigh fading channels in mobile digital communication systems, part I: characterization. IEEE Communications Magazine, 35, 90–100.

    Article  Google Scholar 

  27. Ulukus, S., & Yener, A. (2004). Iterative transmitter and receiver optimization for CDMA networks. IEEE Transactions on Wireless Communications, 3, 1879–1884.

    Article  Google Scholar 

  28. Vedu, S. (1986). Minimum probability of error for asynchronous Gaussian multiple access channels. IEEE Transactions on Information Theory, 32, 85–96.

    Article  Google Scholar 

  29. Vedu, S. (1998). Multiuser detection. Cambridge: Cambridge University Press.

    Google Scholar 

  30. Yen, K., & Hanzo, L. (2001). Genetic algorithm assisted joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems. IEEE Journal on Selected Areas in Communications, 19, 985–997.

    Article  Google Scholar 

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Acknowledgements

This work is the outcome of the project on “Development of high power and spectral efficiency multiuser system for broadband wireless communication” funded by Ministry of Communication and Information Technology, Govt. of India vide administrative approval no. 13(2)/2008-CC & BT dated 31.03.2008 and the first author acknowledges this financial support.

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  1. Department of Information Technology, Bengal Engineering and Science University, Shibpur, Howrah, 711 103, India

    Santi P. Maity, Sumanta Hati & Chinmay Maji

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  1. Santi P. Maity
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  2. Sumanta Hati
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  3. Chinmay Maji
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Correspondence to Santi P. Maity.

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Maity, S.P., Hati, S. & Maji, C. Optimal power allocation in DS-CDMA with adaptive SIC technique. Telecommun Syst 56, 335–346 (2014). https://doi.org/10.1007/s11235-013-9847-2

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