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Estimation Under Staggered Frame Structure for Multi-cell Multi-user Massive MIMO Systems

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Communications and Networking (ChinaCom 2017)

Abstract

This paper describes an interesting method to address the problem of pilot contamination, which adopts the staggered frame structure. The core idea is that different users in the same cell send pilot symbols in different time intervals, and users who send pilot sequences simultaneously in different cells use orthogonal pilot sequences. Furthermore, two channel estimation methods were utilized, which respectively are the Orthogonal Projection Least Square (OPLS) method and the Subtract Interference Least Square (SILS) method. Both two methods don’t directly estimate the whole channel parameters. Alternatively, they estimate the sectional channel response that is orthogonal to the other users’ channel response. The OPLS method is implemented by orthogonal projection operation, whose complexity is higher. So we proposed the SILS method, which combines signal detection to reduce the computational complexity. The simulation results show the staggered frame structure and the channel estimation methods can solve the pilot contamination effectively.

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References

  1. Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)

    Article  Google Scholar 

  2. Larsson, E.G., et al.: Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2013)

    Article  Google Scholar 

  3. Rusek, F., Persson, D., Lau, B.K., et al.: Scaling up MIMO: opportunities and challenges with very large arrays. Mathematics 30(1), 40–60 (2013)

    MathSciNet  Google Scholar 

  4. Ngo, B.Q., Larsson, E.G.: EVD-based channel estimation in multi-cell multi-user MIMO systems with very large antenna arrays, pp. 3249–3252 (2012)

    Google Scholar 

  5. Yin, H., Gesbert, D., Filippou, M., et al.: A coordinated approach to channel estimation in large-scale multiple-antenna systems. IEEE J. Sel. Areas Commun. 31(2), 264–273 (2012)

    Article  Google Scholar 

  6. Ma, J., Ping, L.: Data-aided channel estimation in large antenna systems. IEEE Trans. Signal Process. 62(12), 3111–3124 (2014)

    Article  MathSciNet  Google Scholar 

  7. Kong, D., Qu, D., Luo, K., et al.: Channel estimation under staggered frame structure for massive MIMO system. IEEE Trans. Wirel. Commun. 15(2), 1469–1479 (2016)

    Article  Google Scholar 

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Acknowledgments

This work was supported by National Natural Science Foundation of China [grant number 61531007].

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Correspondence to Mengjun Zhang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, M., Xie, G., Gao, J. (2018). Estimation Under Staggered Frame Structure for Multi-cell Multi-user Massive MIMO Systems. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-78130-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78129-7

  • Online ISBN: 978-3-319-78130-3

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