Open Access   Article Go Back

Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique

Dolly Panthi1 , Munna Lal Jatav2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-9 , Page no. 181-185, Sep-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i9.181185

Online published on Sep 30, 2019

Copyright © Dolly Panthi, Munna Lal Jatav . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Dolly Panthi, Munna Lal Jatav, “Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.9, pp.181-185, 2019.

MLA Style Citation: Dolly Panthi, Munna Lal Jatav "Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique." International Journal of Computer Sciences and Engineering 7.9 (2019): 181-185.

APA Style Citation: Dolly Panthi, Munna Lal Jatav, (2019). Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique. International Journal of Computer Sciences and Engineering, 7(9), 181-185.

BibTex Style Citation:
@article{Panthi_2019,
author = {Dolly Panthi, Munna Lal Jatav},
title = {Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2019},
volume = {7},
Issue = {9},
month = {9},
year = {2019},
issn = {2347-2693},
pages = {181-185},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4872},
doi = {https://doi.org/10.26438/ijcse/v7i9.181185}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i9.181185}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4872
TI - Survey Paper on Performance Evaluation of 4G and 5G System using Space Time Block Coding Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Dolly Panthi, Munna Lal Jatav
PY - 2019
DA - 2019/09/30
PB - IJCSE, Indore, INDIA
SP - 181-185
IS - 9
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
528 258 downloads 184 downloads
  
  
           

Abstract

In this paper, the review of the multiple input multiple output using space time block code on IEEE 802.16 system. The Worldwide Interoperability for Microwaves Access technology which can offer high speed voice, image, and video and data service up to base on standard 802-16 wireless MAN is configured in the same way as a traditional cellular network. The range of WiMAX makes the system very attractive for users, but there will be slightly higher BER at low SNR. In this paper the study of different types of 4G and 5G technique and explain the advantage and disadvantage of the system.

Key-Words / Index Term

WiMAX, OFDM, Rayleigh Channel, MIMO-OFDM, BER

References

[1] Akhilesh Venkatasubramanian, Krithika. V and Partibane. B, “Channel Estimation For A Multi-User MIMOOFDM- IDMA System”, International Conference on Communication and Signal Processing, April 6-8, 2017, India.
[2] R. Prasad, C. R. Murthy, B. D. Rao, "Joint channel estimation and data detection in MIMO-OFDM systems: A sparse Bayesian learning approach", IEEE Trans. Signal Process., vol. 63, no. 20, pp. 5369-5382, Oct. 2015.
[3] R. Prasad, C. R. Murthy, B. D. Rao, "Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning", IEEE Trans. Signal Process., vol. 62, no. 14, pp. 3591-3603, Jul. 2014.
[4] Mel Li, Xiang Wang and Kun Zhang, “Comparative Study of Adaptive Filter Channel Estimation Technique in MIMO-OFDM System Based on STBC”, Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, Lanzhou, 13-16 July, 2014.
[5] Muhammet Nuri Seyman and Necmi Taspmar, "Channel estimation based on neural network in space time block coded MIMO-OFDM system", Digital Signal Processing, Vol. 23, No.1, pp. 275-280, Jan. 2013.
[6] Biswajit Sahoo, Ravi Ranjan Prasad, and P. Samundiswary, “BER Analysis of Mobile WiMAX System using LDPC Coding and MIMO System under Rayleigh Channel”, International conference on Communication and Signal Processing, April 3-5, 2013, India.
[7] Li Mei, Wang Xiang, Zhang Xiaoming, Jia Ke. "RLS and its improved algorithms in MIMO-OFDM System", International Journal of Modelling, Identification and Control, Vol. 16, No. 3, pp. 246-250, Jul. 2012.
[8] Mukesh Patidar, Rupesh Dubey, Nitinkumar Jain and Saritakul Pariya, “Performance Analysis of WiMAX 802.16e Physical Layer Model”, International Conference on wireless communication, 2012 IEEE.
[9] Chin-Liang Wang and Shun-Sheng Wang and Hsiao-Ling Chang, “A Low-Complexity SLM Based PAPR Reduction Scheme for SFBC MIMO-OFDM Systems”, International Conference on Wireless Communication, 2011 IEEE.
[10] L. Yang, K. K. Soo, S. li, and Y. M. SU, “PAPR Reduction Using Low Complexity PTS to Construct of OFDM Signals Without Side Information”, IEEE Transactions on Broadcasting, Vol. 57, No. 2, pp. 4532-4539, June 2011.
[11] Chin-Liang Wang and Shun-Sheng Wang† and Hsiao-Ling Chang, “A Low-Complexity SLM Based PAPR Reduction Scheme for SFBC MIMO-OFDM Systems”, International Conference on Wireless Communication, pp. 345-352, 2011 IEEE.
[12] K. Y. Cho, B. S. Choi, Y. Takushima, and Y. C. Chung, B25.78-Gb/s operation of RSOA for next-generation optical access networks, IEEE Photon. Technol. Letter, vol. 23, no. 8, pp. 495–497, Apr. 2011.
[13] Divyang Rawal, Park Youn Ok and C. Vijaykumar, “A Novel training based QR-RLS channel estimator for MIMO OFDM systems”, Wireless Advanced (WiAD), 6th Conference on, IEEE 2010.
[14] Ke Chen and Xiaojing Huang, “A Novel Approach for Interference Suppression in Multi-Sub band Convolutional Coded OFDM System”, School of Electrical, Computer & Telecommunications University of Wollongong, Australia, 2010.
[15] Sen-Hung Wang, and Chih-Peng Li, “A Low-Complexity PAPR Reduction Scheme for SFBC MIMO-OFDM Systems”, IEEE Signal Processing Letters, Vol. 16, No. 11, November 2009.
[16] Yang Zhou and Tao Jiang, “A Novel Multi-Points Square Mapping Combined With PTS to Reduce PAPR of OFDM Signals Without Side Information”, IEEE Transactions on Broadcasting, Vol. 55, No. 4, December 2009.
[17] Wei Jiang and Daoben Li, “Convolutional Multi-code Multiplexing for OFDM Systems”, Beijing University of Posts and Telecommunications Beijing 100876, China, 2007.