Abstract
This paper presents a study on beam division multiple access (BDMA) with performance parameters of the antenna array. For this work, firstly we introduce BDMA for massive multiple-input multiple-output (MIMO) transmission. Then the actual antenna model is proposed, and a simple application scenario is established. In the case that antenna parameters are changed, this work shows that the sum-rate simulation results are different. We combine the performance parameters of the antenna with the BDMA channel model of free space, and then we can build the actual network layout. The channel simulations based of the sum-rate will be performed in this paper respectively. The simulation results show that the parameters such as the coupling effect between elements in the antenna array will affect the BDMA channel model of large-scale MIMO systems for typical mobile scenarios, which should be considered in the subsequent channel model analysis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, M., Yang, C., Mousoli, R.: Controlled cyclic remote state preparation of arbitrary qubit states. CMC: Comput. Mater. Continua 55(2), 321–329 (2018)
Di Renzo, M., Haas, H., Ghrayeb, A., Sugiura, S., Hanzo, L.: Spatial modulation for generalized MIMO: challenges, opportunities, and implementation. Proc. IEEE 102(1), 56–103 (2014)
Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423 (1948)
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)
Lu, L., Li, G.Y., Swindlehurst, A.L., Ashikhmin, A., Zhang, R.: An overview of massive MIMO: benefits and challenges. IEEE J. Sel. Top. Signal Process. 8(5), 742–758 (2014)
Sun, C., Gao, X., Jin, S., Matthaiou, M., Ding, Z., Xiao, C.: Beam division multiple access transmission for massive MIMO communications. IEEE Trans. Commun. 63(6), 2170–2184 (2015)
Jiang, Y., Zhong, X., Guo, Y., Duan, M.: Communication mechanism and algorithm of composite location analysis of emergency communication based on rail. CMC: Comput. Mater. Continua 57(2), 321–340 (2018)
Rusek, F., et al.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process. Mag. 30(1), 40–60 (2013)
Akyildiz, I.F., Wang, X., Wang, W.: Wireless mesh networks: a survey. Comput. Netw. 47(4), 445–487 (2005)
Gao, X., Jiang, B., Li, X., Gershman, A.B., McKay, M.R.: Statistical eigenmode transmission over jointly-correlated MIMO channels. arXiv preprint arXiv:0903.1952 (2009)
Weichselberger, W., Herdin, M., Ozcelik, H., Bonek, E.: A stochastic MIMO channel model with joint correlation of both link ends. IEEE Trans. Wirel. Commun. 5(1), 90–100 (2006)
Tulino, A.M., Lozano, A., Verdú, S.: Impact of antenna correlation on the capacity of multiantenna channels. IEEE Trans. Inf. Theory 51(7), 2491–2509
Tse, D., Viswanath, P.: Fundamentals of Wireless Communication. Cambridge University Press, New York (2005)
Veeravalli, V.V., Liang, Y., Sayeed, A.: Correlated MIMO rayleigh fading channels: capacity, optimal signaling, and asymptotics (2005)
Christensen, S.S., Agarwal, R., De Carvalho, E., Cioffi, J.M.: Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. IEEE Trans. Wirel. Commun. 7(12), 4792–4799 (2008)
Negro, F., Shenoy, S.P., Ghauri, I., Slock, D.T.: On the MIMO interference channel. In: Information Theory and Applications Workshop (ITA), pp. 1–9. IEEE (2010)
Shin, J., Moon, J.: Weighted sum rate maximizing transceiver design in MIMO interference channel. In: 2011 IEEE Global Telecommunications Conference (GLOBECOM 2011), pp. 1–5. IEEE (2011)
Evolved Universal Terrestrial Radio Access: Physical channels and modulation. 3GPP TS, 36, V8 (2009)
Li, X., Jin, S., Gao, X.: Multi-user MIMO downlink eigen-mode transmission over jointly correlated MIMO channels. Sci. China Inf. Sci. 54(10), 2124 (2011)
Acknowledgment
This work is supported by The National Natural Science Foundation of China for Youth (Grant No. 61602263), The Natural Science Foundation of Jiangsu Province, China (Grant No. BK20160916), The National post-doctoral fund (Grant No. 2017M621798), The Jiangsu Planned Projects for Postdoctoral Research Funds (Grant No. 1701132B), and NUPTSF (No. NY214189, NY215146 and NY216020).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Guo, L., Yang, L. (2019). Analysis of Antenna Array Parameter Effect for Massive MIMO Transmission. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-24271-8_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24270-1
Online ISBN: 978-3-030-24271-8
eBook Packages: Computer ScienceComputer Science (R0)