Abstract
The multi-path channel modeling analysis of conventional communication network can analyze the modeling of multi-path channel in communication network. However, for the multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing, there is a shortage of high analysis error rate. To this end, the multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing is proposed. The LTE multipath channel modeling and analysis program structure is built, and the single-frequency signal is subjected to time-varying channel technology, and the digital signal is designed by multipath time-varying channel technology to complete the key technology design of multipath channel modeling and analysis. The multipath channel modeling and analysis program is used to determine the multi-path channel modeling Rayleigh distribution and Rice distribution, and the related characteristics analysis to realize multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing. The experimental data show that the proposed multipath channel modeling analysis is more than the conventional multipath channel modeling analysis, and the analysis error rate is reduced by 14.35%, which is suitable for multi-path channel modeling analysis of embedded LTE wireless communication networks under cloud computing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, W., Han, L., Yang, X.: The optimal network port selection model of the simulation analysis of communication. Comput. Simul. 33(8), 248–251 (2016)
Sun, Y., Chen, Y.: Research on time and frequency synchronization estimation of railway communication with LTE-R under multipath fading channel. Railway Standard Des. 60(11), 148–152 (2016)
Liao, X., Li, Z., Xi, Y.: Modeling and analysis of users’ knowledge network in innovative community based on clustering. Comput. Simul. 33(4), 316–319 (2016)
Zhang, H.: On the security system and key schemes of metro CBTC based on TD-LTE technology. Urban Mass Transit 3(4), 36–39 (2016)
Dan, Z., Matthe, M., Mendes, L.L., et al.: A study on the link level performance of advanced multicarrier waveforms under MIMO wireless communication channels. IEEE Trans. Wirel. Commun. 16(4), 2350–2365 (2017)
Huang, J., Wang, C.X., Feng, R., et al.: Multi-frequency mmWave massive MIMO channel measurements and characterization for 5G wireless communication systems. IEEE J. Sel. Areas Commun. 35(7), 1591–1605 (2017)
Sangeetha, M., Bhaskar, V.: NR-DCSK based chaotic communications in MIMO multipath channels. Wirel. Personal Commun. 103(5), 1–16 (2018)
Nawaz, S.J., Wyne, S., Baltzis, K.B., et al.: A tunable 3-D statistical channel model for spatio-temporal characteristics of wireless communication networks. Trans. Emerg. Telecommun. Technol. 28(12), e3213 (2017)
Sen Gupta, A.: Estimation and equalization for shallow water communication channel using geometric encoding of channel multipath. J. Acoust. Soc. Am. 142(4), 2645–2645 (2017)
Oh, H.S., Kang, D.W.: Performance analysis on channel estimation with antenna diversity of OFDM reception in multi-path fast fading channel. Wirel. Pers. Commun. 103(3), 2423–2431 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Qiao, Y., Zhao, L., Li, J. (2019). Multi-path Channel Modeling and Analysis of Embedded LTE Wireless Communication Network Under Cloud Computing. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-36402-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36401-4
Online ISBN: 978-3-030-36402-1
eBook Packages: Computer ScienceComputer Science (R0)