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Channel Modeling Optimization Based on Measurements at 26 GHz in an Open Office

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Abstract

In this paper, based on channel measurements at 26 GHz in an open office, modeling approaches for joint channel parameters are proposed to find an optimal distance. The results show that after the optimal distance, the mean and variance values of the channel parameters changed linearly with the cumulative measurement distances. When doing channel measurements, the measured range is required to be larger than the optimal distance, otherwise the mean and variance values of the channel parameters are found to have big fluctuations with no rules to follow. After the optimal distance, we can use their linear functions with respect to the measured distances to predict the mean and variance values instead of using the fixed values based on their statistical distributions of the channel parameters to implement more accurate channel simulations. The results in this paper are significant in millimeter wave channel measurement and modeling for fifth generation radio systems.

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References

  1. World Radio Communication Conference (WRC-15)[R], ITU 500-E, Geneva (2015)

  2. Azar, Y., et al. (2013). 28 GHz propagation measurements for outdoor cellular communications using steerable beam antennas in New York City. In Proceedings of the IEEE international conference on communication (pp. 5143–5147).

  3. Rappaport, T. S., Ben-Dor, E., Murdock, J. N., & Qiao, Y. (2012). 38 GHz and 60 GHz angle-dependent propagation for cellular & peer-to-peer wireless communications. In Proceedings of the IEEE international conference on communication (pp. 4568–4573).

  4. Nie, S., MacCartney, G. R., Sun, S., & Rappaport, T. S. (2013). 72 GHz millimeter wave indoor measurements for wireless and Backhaul communications. In Proceedings of the IEEE 24th international symposium on personal indoor and mobile radio communications (PIMRC) mobile mobile wireless (pp. 2429–2433).

  5. MacCartney, G. R., & Rappaport, T. S. (2014). 73 GHz millimeter wave propagation measurements for outdoor urban mobile and Backhaul communications in New York City. In Proceedings of the IEEE international conference communications (ICC) (pp. 4862–4867).

  6. Rajagopal, S., Abu-Surra, S., & Malmirchegini, M. (2012). Channel feasibility for outdoor non-line-of-sight mmwave mobile communication. In 2012 IEEE vehicular technology conference (VTC Fall) (pp. 1–6).

  7. Lei, M., Zhang, J., Lei, T., & Du, D., (2014). 28-GHz indoor channel measurements and analysis of propagation characteristics. In Proceedings of the IEEE 25th annual international symposium on personal, indoor and mobile radio communications (PIMRC) (pp. 208–212).

  8. Zhang, N., Yin, X., Lu, S. X., Du, M., & Cai, X. (2014). Measurement-based angular characterization for 72 GHz propagation channels in indoor environments. In Proceedings of the Globecom workshops (GC Wkshps) (pp. 370–376).

  9. Miao, R., Tian, L., Zheng, Y., Tang, P., Huang, F., & Zhang, J. (2015). Indoor office channel measurements and analysis of propagation characteristics at 14 GHz. In Proceedings of the IEEE 24th international symposium on personal, indoor and mobile radio communications (PIMRC).

  10. Sun, S., et al. (2016). Propagation path loss models for 5G urban micro- and macro-cellular scenarios. In Proceedings for the IEEE 83rd VTC Spring.

  11. Greenstein, L. J., Michelson, D. G., & Erceg, V. (1999). Moment-method estimation of the Ricean K-factor. IEEE Communications Letters, 3(6), 175–176.

    Article  Google Scholar 

  12. GPP TR 125.996. (2011). Spatial channel model for multiple input multiple output (MIMO) simulations. V10.0.0, Tech. Rep.

  13. Fleury, B. H., Tschudin, M., & Heddergott, R. (1999). Channel parameter estimation in mobile radio environments using the SAGE algorithm. IEEE Journal on Selected Areas in Communications, 17(3), 434–450.

    Article  Google Scholar 

  14. Yin, X., Ling, C., & Kim, M. D. (2015). Experimental multipath-cluster characteristics of 28-GHz propagation channel. IEEE Access, 3, 3138–3150.

    Article  Google Scholar 

  15. Zhao, X., et al. (2017). Channel measurements, modeling, simulation and validation at 32 GHz in outdoor microcells for 5G radio systems. IEEE Access, 5, 1062–1072.

    Article  Google Scholar 

  16. Wang, Q., Li, S., Zhao, X., Wang, M., & Sun, S. (2016). Wideband millimeter-wave channel characterization based on LOS measurements in an open office at 26 GHz. In Proceedings of the IEEE 83rd VTC Spring.

  17. Giryes, R., Elad, M., & Bruckstein, A. (2015). Sparsity based methods for over parameterized variational problems. arXiv:1405.4969.

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Acknowledgement

This work is supported by National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation (201600012), by State Key Laboratory of Wireless Communications, China Academy of Telecommunication Technology Co., Ltd. (CATT), by the National Nature Science Foundation of China (NSFC) under Grant No. 61771194. It is supported also by the Fundamental Research Funds for the Central Universities (2015 XS19).

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Correspondence to Xiongwen Zhao.

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Wang, Q., Zhao, X., Zhang, R. et al. Channel Modeling Optimization Based on Measurements at 26 GHz in an Open Office. Wireless Pers Commun 100, 1149–1161 (2018). https://doi.org/10.1007/s11277-018-5625-5

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  • DOI: https://doi.org/10.1007/s11277-018-5625-5

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