Abstract
This paper mainly focus on the analysis of the eigenvalues and capacity for massive multiple-input multiple-output (MIMO) systems based on the channel measurements conducted at 3.5 GHz with 200 MHz. The measurements are conducted under three typical deployment scenarios: the Outdoor to Indoor (O2I), the Urban Macro cell (UMa) and the Urban Micro cell (UMi). Then we investigate the results of the normalized eigenvalues of the channel correlation matrix and angular spread (AS) for both azimuth and elevation direction. Under the line of sight (LoS) condition, the cumulative density function (CDF) of the normalized eigenvalues under O2I has the most uniform distribution followed by UMi, and UMa in the last. The eigenvalues and the orthogonality between sub-channels are affected by the angular spread. The AS of both azimuth and elevation arrival angle under UMi scenario are the biggest, and smallest under UMa. Finally, ergodic capacity for all scenarios is investigated and the advantages of the Massive MIMO system are highlighted. With same signal to noise ratio (SNR), the largest capacity is achieved under UMi in non-line of sight (NLoS) condition.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Goldsmith, A., Jafar, S.A., Jindal, N., et al.: Capacity limits of MIMO channels. IEEE J. Sel. Areas Commun. 21(5), 684–702 (2006)
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)
Rusek, F., Persson, D., Lau, B.K., et al.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Sign. Process. Mag. 30(1), 40–60 (2012)
Larsson, E., Edfors, O., Tufvesson, F., et al.: Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2014)
Gao, X., Edfors, O., Rusek, F., et al.: Massive MIMO performance evaluation based on measured propagation data. IEEE Trans. Wirel. Commun. 14(7), 1–1 (2015)
Martinez, A.O., Carvalho, E.D., Nielsen, J.O., et al.: Frequency dependence of measured massive MIMO channel properties. In: IEEE Vehicular Technology Conference (2016)
Goldsmith, A.: Wireless Communications. Stanford University, California (2008)
Liu, X., Bialkowski, M.E.: Effect of antenna mutual coupling on MIMO channel estimation and capacity. Int. J. Antennas Propag. 2010(6), 252–260 (2010)
Yu, H., Zhang, J.H., Zheng, Q., et al.: The rationality analysis of massive MIMO virtual measurement at 3.5 GHz. In: IEEE/CIC International Conference on Communications in China (2016)
Zhang, J.H.: Review of wideband MIMO channel measurement and modeling for IMT-advanced systems. Sci. Bullet. 57(19), 2387–2400 (2012)
Rappaport, T.S.: Wireless Communications: Principles and Practice, 2nd edn. Prentice Hall, Upper Saddle River (2001)
Fleury, B.H., Tschudin, M., Heddergott, R., et al.: Channel parameter estimation in mobile radio environments using the SAGE algorithm. IEEE J. Sel. Areas Commun. 17(3), 434–450 (1999)
Heath, R.W., Paulraj, A.J.: Switching between diversity and multiplexing in MIMO systems[J]. IEEE Trans. Commun. 53(6), 962–968 (2005)
Gesbert, D., Kountouris, M., Heath, R.W., et al.: Shifting the MIMO paradigm. IEEE Sign. Process. Mag. 24(5), 36–46 (2007)
Zhang, J.H., Pan, C., Pei, F., et al.: Three-dimensional fading channel models: a survey of elevation angle research. IEEE Commun. Mag. 52(6), 218–226 (2014)
Acknowledgment
This research is supported in part by National Science and Technology Major Project of the Ministry of Science and Technology (2015ZX03002008), and in part by MOE-CMCC 1-5, and in part by National Natural Science Foundation of China (61322110, 61461136002), and by 863 Program (2015AA01A703) and Doctoral Fund of Ministry of Education (20130005110001). The authors would also like to thank the support from the Huawei Technologies Co., Ltd.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Xu, R., Zhang, J., Xi, J. (2018). Eigenvalue and Capacity Analysis Based on Measurement of Massive MIMO System at 3.5 GHZ. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-72823-0_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72822-3
Online ISBN: 978-3-319-72823-0
eBook Packages: Computer ScienceComputer Science (R0)