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Uplink spectral efficiency analysis of multi-cell multi-user massive MIMO over correlated Ricean channel

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Abstract

In this study, the performance of uplink spectral efficiency in massive multiple input multiple output (MIMO) over a spatially correlated Ricean fading channel is presented. The maximum ratio combining (MRC) receiver is employed at the base station (BS) for two channel estimation methods. The first method is based on pilot-assisted least minimum mean square error (LMMSE) estimation, whereas the second is based on line-of-sight (LOS). The respective analytical expressions of the uplink data rate are given for these two methods. Because of the existence of pilot contamination, the uplink data rate of the pilot-assisted LMMSE estimation method approaches a finite value (we call it the asymptotic rate in this study) when the BS antenna number is high. However, the data rate of the LOS method is linear with the number of BS antennas. The expression of the uplink rate of the LOS method also shows that for a Ricean channel, the spatial correlation between the BS antennas may either decrease the rate or increase the rate, depending on user location. This conclusion explains why the spatial correlation may increase rather than decrease the data rate of pilot-assisted LMMSE. We also discuss the power scaling law of the two methods, and show that the asymptotic expressions of the two methods are the same and both are independent of the antenna correlation.

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References

  1. Feng W, Wang Y, Ge N, et al. Virtual MIMO in multi-cell distributed antenna systems: coordinated transmissions with large-scale CSIT. IEEE J Sel Areas Commun, 2013, 31: 2067–2081

    Article  Google Scholar 

  2. Yang A, Xing C W, Fei Z S, et al. Performance analysis for uplink massive MIMO systems with a large and random number of UEs. Sci China Inf Sci, 2016, 59: 022312

    Google Scholar 

  3. Wang D M, Zhang Y, Wei H, et al. An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications. Sci China Inf Sci, 2016, 59: 081301

    Article  Google Scholar 

  4. Wang X Y, Zhang Z S, Long K P, et al. Joint group power allocation and prebeamforming for joint spatial-division multiplexing in multiuser massiveMIMO systems. In: Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, 2015. 2934–2938

    Chapter  Google Scholar 

  5. Boccardi F, Heath R W, Lozano A, et al. Five disruptive technology directions for 5G. IEEE Commun Mag, 2014, 52: 74–80

    Article  Google Scholar 

  6. Jose J, Ashikhmin A, Marzetta T L, et al. Pilot contamination and precoding in multi-cell TDD systems. IEEE Trans Wirel Commun, 2011, 10: 2640–2651

    Article  Google Scholar 

  7. Appaiah K, Ashikhmin A, Marzetta T L. Pilot contamination reduction in multi-user TDD systems. In: Proceedings of 2010 IEEE International Conference on Communications (ICC), Cape Town, 2010. 1–5

    Google Scholar 

  8. Fernandes F, Ashikhmin A, Marzetta T L. Inter-cell interference in noncooperative TDD large scale antenna systems. IEEE J Sel Areas Commun, 2013, 31: 192–201

    Article  Google Scholar 

  9. Li M M, Jin S, Gao X Q. Spatial orthogonality-based pilot reuse for multi-cell massive MIMO transmission. In: Proceedings of 2013 International Conference on Wireless Communications Signal Processing (WCSP), Hangzhou, 2013. 1–6

    Google Scholar 

  10. Wang H R, Huang Y M, Jin S, et al. Performance analysis on precoding and pilot scheduling in very large MIMO multi-cell systems. In: Proceedings of Wireless Communications and Networking Conference (WCNC), Shanghai, 2013. 2722–2726

    Google Scholar 

  11. Yue S S, Liu J, Zhai C, et al. User pilot scheduling in massive MIMO systems. In: Proceedings of 2015 International Conference on Wireless Communications Signal Processing (WCSP), Nanjing, 2015. 1–5

    Google Scholar 

  12. Zhu X, Wang Z, Dai L, et al. Smart pilot assignment for massive MIMO. IEEE Commun Lett, 2015, 19: 1644–1647

    Article  Google Scholar 

  13. 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, 2013, 31: 264–273

    Article  Google Scholar 

  14. Ngo H Q, Larsson E G. EVD-based channel estimation in multicell multiuser MIMO systems with very large antenna arrays. In: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, 2012. 3249–3252

    Chapter  Google Scholar 

  15. Muller R R, Vehkapera M, Cottatellucci L. Blind pilot decontamination. In: Proceedings of the 17th International ITG Workshop on Smart Antennas (WSA 2013), Stuttgart, 2013. 1–6

    Google Scholar 

  16. Muller R R, Cottatellucci L, Vehkapera M. Blind pilot decontamination. IEEE J Sel Top Signal Process, 2014, 8: 773–786

    Article  Google Scholar 

  17. Donoho D L. Compressed sensing. IEEE Trans Inform Theor, 2006, 52: 1289–1306

    Article  MathSciNet  MATH  Google Scholar 

  18. Wu L, Qi C. Uplink channel estimation for massive MIMO systems exploring joint channel sparsity. Electron Lett, 2014, 50: 1770–1772

    Article  Google Scholar 

  19. Qi C H, Wu L A. A study of deterministic pilot allocation for sparse channel estimation in OFDM systems. Electron Lett, 2012, 16: 742–744

    Google Scholar 

  20. Sayeed A M, Behdad N. Continuous aperture phased MIMO: a new architecture for optimum line-of-sight links. In: Proceedings of 2011 IEEE International Symposium on Antennas and Propagation (APSURSI), Spokane, 2011. 293–296

    Chapter  Google Scholar 

  21. Brady J, Behdad N, Sayeed A M. Beamspace MIMO for millimeter-wave communications: system architecture, modeling, analysis, and measurements. IEEE Trans Antennas Propagat, 2013, 61: 3814–3827

    Article  Google Scholar 

  22. Hoydis J, Kobayashi M, Debbah M. Green small-cell networks. IEEE Veh Technol Mag, 2011, 6: 37–43

    Article  Google Scholar 

  23. Zahir T, Arshad K, Nakata A, et al. Interference management in femtocells. IEEE Commun Surv Tutor, 2013, 15: 293–311

    Article  Google Scholar 

  24. Zhang Q, Jin S, Huang Y M, et al. Uplink rate analysis of multicell massive MIMO systems in Ricean fading. In: Proceedings of Global Communications Conference, Austin, 2014. 3279–3284

    Google Scholar 

  25. Wang J, Jin S, Gao X, et al. Statistical eigenmode-based SDMA for two-user downlink. IEEE Trans Signal Process, 2012, 60: 5371–5383

    Article  MathSciNet  Google Scholar 

  26. Cao J, Wang D M, Li J M, et al. Uplink spectral efficiency analysis of multi-cell multi-user massive MIMO over correlated Ricean channel. 2017. https://arxiv.org/abs/1707.05915

    Google Scholar 

  27. Wang D M, Ji C, Gao X Q, et al. Uplink sum-rate analysis of multi-cell multi-user massive MIMO system. In: Proceedings of IEEE International Conference on Communications (ICC13), Budapest, 2013. 3997–4001

    Google Scholar 

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Acknowledgements

This work was supported in part by Natural Science Foundation of China (Grant Nos. 61501113, 61521061, 61401241, 61501264), Natural Science Foundation of Jiangsu Province (Grant No. BK201506-30), and Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (Grant No. 2015D02).

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Authors and Affiliations

  1. School of Electronics and Information, Nantong University, Nantong, 226019, China

    Juan Cao & Qiang Sun

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

    Juan Cao, Dongming Wang, Jiamin Li & Qiang Sun

  3. School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    Ying Hu

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  1. Juan Cao
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  2. Dongming Wang
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  3. Jiamin Li
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  4. Qiang Sun
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  5. Ying Hu
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Correspondence to Juan Cao.

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Cao, J., Wang, D., Li, J. et al. Uplink spectral efficiency analysis of multi-cell multi-user massive MIMO over correlated Ricean channel. Sci. China Inf. Sci. 61, 082305 (2018). https://doi.org/10.1007/s11432-017-9278-0

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  • DOI: https://doi.org/10.1007/s11432-017-9278-0

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