Estimation of Channel characteristics of milli meter wave communication using propagation channel models

Authors

  • Abhishek Madankar, Atish Khobragade, Shital Telrande, Minal Patil

Keywords:

Millimeter wave (mmWave), SV Model, Log distance model, Geometry based stochastic channel model, Bit Error rate, Path loss, LOS probability.

Abstract

The paper describes the application of channel simulation with respect to statistical dependency on Saleh Valenzuela model, Geometry based Stochastic Channel model. The bit error rate is calculated for all the channel models using different modelling method under different channel scenario. The Bit Error Rate is calculated for the frequency of 28 GHz. The estimation of Bit Error Rate is necessary for legitimate exegeses of the model and, consequently, for relevant system design & channel characterization. The SV model and Geometry based stochastic channel model have been simulated using MATLAB software and calculated the parameters for milli meter wave communication such as Bit Error Rate for  1 dB to 30 dB signal to noise ratio. For SV channel model the BER with and without LDPC CRC is 0.00013250 & 0.00026700 for minimum SNR and 0.00011425 & 0.00023525for maximum SNR for indoor Scenario whereas for outdoor scenario the respective values are 0.00013300 & 0.00028375 and 0.00011800 & 0.00025825. For Geometry based stochastic channel model the BER with and without LDPC CRC is 0.00013400 & 0.00028475 for minimum SNR and 0.00011900 & 0.00025000 for maximum SNR for indoor Scenario whereas for outdoor scenario the respective values are 0.00013325 & 0.00028725 and 0.00011725 & 0.00026600.

Downloads

Download data is not yet available.

References

Bhardwaj, A. , Chuang, J. , Gentile, C. and Lai, C., “Measuring the Impact of Beamwidth and Bandwidth on the Wide-Sense Stationarity of Millimeter-Wave Channels,” IEEE Open Journal of the Communications Society,[online],https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936369 2024.

ShihaoJu, Yunchou Xing, OjasKanhere, Theodore S. Rappaport, “Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building,” IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 39, NO. 6, JUNE 2021.

Jian Dang, ShichengGao, Yongdong Zhu, RongbinGuo, Hao Jiang, Zaichen Zhang, Liang Wu, Bingcheng Zhu, Lei Wang, “A geometry-based stochastic channel model and its application for intelligent reflecting surface assisted wireless communication,” IET Communication 2020.

Shu Sun , Theodore S. Rappaport , MansoorShafi ,Pan Tang , Jianhua Zhang , and Peter J. Smith, “Propagation Models and Performance Evaluation for 5G Millimeter-Wave Bands”, IEEE Transactions on vehicular technology, vol. 67, no. 9, September 2018.

3GPP, “Study on channel model for frequencies from 0.5 to 100 GHz,” 3rd Gener. Partnership Project, Tech. Rep. 38.901 V14.3.0, Dec. 2017.

Xuefeng Yin, Xiang Cheng, “Geometry‐based Stochastic Channel Modeling,” Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications, 77–105, 2016.

Arjan Meijerink, Andreas F. Molisch, “On the Physical Interpretation of the Saleh–Valenzuela Model and the Definition of Its Power Delay Profiles,”IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 62, NO. 9, SEPTEMBER 2014

F. Molisch et al., “IEEE 802.15.4a channel model—Final report,” Tech. Rep. Doc. IEEE 802.15-04-0662-02-004a, 2005. [6] A. F. Molisch, “Ultra-wide-band propagation channels,” Proc. IEEE, vol. 97, no. 2, pp. 353–371, Feb. 2009

F. Molisch et al., “A comprehensive model for ultrawideband propagation channels,” IEEE Trans. Antennas Propag., vol. 54, no. 11, pp. 3151–3166, Nov. 2006

J. R. Foerster, “Channel modeling Subcommittee report final,” Tech. Rep. P802.15 02/490r1, IEEE 802.15 SG3a, Feb. 2003.

A. M. Saleh and R. A. Valenzuela, “A statistical model for indoor multipath propagation,” IEEE J. Sel. Areas Commun., vol. SAC-5, pp. 128–137, Feb. 1987.

Downloads

Published

24.03.2024

How to Cite

Abhishek Madankar. (2024). Estimation of Channel characteristics of milli meter wave communication using propagation channel models. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 3885–3893. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6073

Issue

Section

Research Article