Skip to main content
SpringerLink
Log in

Design of Differential Spatial Modulation Cooperative System Based on Complementary Code

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The traditional differential spatial modulation (DSM) cooperative system overcomes the interference between the antennas by the orthogonality of direct sequence-code division multiple access spreading code. But the spreading sequences they used have the following undesirable properties: the non-zero sidelobes of auto-correlation functions will result in severe multi-path interference, and the non-zero values of cross-correlation functions will result in serious multiple access interference. In this paper, we propose a novel DSM cooperative system scheme to overcome this limitation. In our proposed scheme, the anti-interference characteristic of the system is improved by replacing the traditional spreading codes with complementary codes (CCs) at the transmitter. The DSM signal system constructed by using a multi-symbol dispersion matrix at the transmission relay end can improve the system transmission efficiency and avoid the channel interference. At the receiver, in order to reduce the high computational complexity of traditional maximum likelihood detection algorithm, a low-complexity detection algorithm based on the column search is proposed. The simulation results show that the bit error rate performance of DSM cooperative system based on the CC is superior to the traditional DSM cooperative system based on spreading codes. Meanwhile, the system performance with complete CCs is superior to that with the other CCs, and its implementation complexity is lower.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Laxminarayanan, G., & Jayanthi, S. (2014). MIMO schemes with spatial modulation in wireless communication. International Journal of Computer Trends and Technology,7(4), 183–187.

    Article  Google Scholar 

  2. Bian, Y., et al. (2015). Differential spatial modulation. Vehicular Technology IEEE Transactions,64(7), 3262–3268.

    Google Scholar 

  3. Rajashekar, R., et al. (2017). Full-diversity dispersion matrices from algebraic field extensions for differential spatial modulation. IEEE Transactions on Vehicular Technology,99, 1–1.

    Google Scholar 

  4. Renzo, M. D., Alonso, L., Fitzek, F. H. P., & Foglar, A. (2012). GREENET: An Early Stage Training Network in Enabling Technologies for Green Radio. Vehicular Technology Conference IEEE,120, 1–5.

    Google Scholar 

  5. Shah, A. F. M. S., & Islam, M. S. (2014). A survey on cooperative communication in wireless networks. International Journal of Intelligent Systems and Applications,6(7), 66–78.

    Article  Google Scholar 

  6. Mesleh, R., Elgala, H., & Haas, H. (2010). On the performance of coded optical spatial modulation. International Symposium on Personal Indoor and Mobile Radio Communications IEEE,45, 820–824.

    Article  Google Scholar 

  7. Narayanan, S., et al. (2016). Distributed spatial modulation: A cooperative diversity protocol for half-duplex relay-aided wireless networks. IEEE Transactions on Vehicular Technology,65(5), 2947–2964.

    Article  Google Scholar 

  8. Zhang, M., et al. (2016). A dual-hop virtual MIMO architecture based on hybrid differential spatial modulation. IEEE Transactions on Wireless Communications,15(9), 6356–6370.

    Article  Google Scholar 

  9. Li, L., Poor, H. V., & Hanzo, L. (2015). Non-coherent successive relaying and cooperation: Principles, designs, and applications. IEEE Communications Surveys and Tutorials,17(3), 1708–1737.

    Article  Google Scholar 

  10. Velazquez-Gutierrez, J. M., & Vargas-Rosales, C. (2016). Sequence sets in wireless communication systems: A survey. IEEE Communications Surveys and Tutorials,99, 1–1.

    Google Scholar 

  11. Kadir, M. I., et al. (2013). Successive-relaying-aided decode-and-forward coherent versus noncoherent cooperative multicarrier space-time shift keying. IEEE Transactions on Vehicular Technology,62(6), 2544–2557.

    Article  Google Scholar 

  12. Ishikawa, N., & Sugiura, S. (2014). Unified differential spatial modulation. Wireless Communications Letters IEEE,3(4), 337–340.

    Article  Google Scholar 

  13. Xiao, L., et al. (2015). A low-complexity detection scheme for differential spatial modulation. IEEE Communications Letters,19(9), 1516–1519.

    Article  Google Scholar 

  14. Rajashekar, R., Hari, K. V. S., & Hanzo, L. (2014). Reduced-complexity ml detection and capacity-optimized training for spatial modulation systems. IEEE Transactions on Communications,62(1), 112–125.

    Article  Google Scholar 

  15. Men, H., & Jin, M. (2014). A low-complexity ML detection algorithm for spatial modulation systems with PSK constellation. IEEE Communications Letters,18(8), 1375–1378.

    Article  Google Scholar 

  16. Mollah MB, Islam MR (2012). Comparative analysis of gold codes with PN codes using correlation property in CDMA technology. In International conference on computer communication and informatics IEEE (pp. 1–6).

  17. Dávideková, M., et al. (2016). Applications of complete complementary codes and propositions for future research areas of these CODES. Procedia Computer Science,83, 592–599.

    Article  Google Scholar 

  18. Sun, S. Y., Chen, H. H., & Meng, W. X. (2015). A survey on complementary-coded MIMO CDMA wireless communications. IEEE Communications Surveys and Tutorials,17(1), 52–69.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Zhejiang Provincial Natural Science Foundation of China (No. LY17F010012), the Natural Science Foundation of China (No. 61571108), the pen Foundation of State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunication No. SKLNST-2016-2-14).

Author information

Authors and Affiliations

  1. Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, 310018, China

    Xiaoping Jin, Qian Li & Ning Jin

  2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Zhengquan Li

  3. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Zhengquan Li

Authors
  1. Xiaoping Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qian Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ning Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhengquan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ning Jin.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jin, X., Li, Q., Jin, N. et al. Design of Differential Spatial Modulation Cooperative System Based on Complementary Code. Wireless Pers Commun 111, 1475–1486 (2020). https://doi.org/10.1007/s11277-019-06927-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06927-5

Keywords

Search

Navigation