BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel

Author:

Abose Tadele A.1,Ayana Fanuel O.2,Olwal Thomas O.3,Marye Yihenew W.4

Affiliation:

1. Department of Electrical and Computer Engineering, Mattu University, Mattu, 318, Ethiopia

2. School of Electrical and Computer Engineering, Dire Dawa University, Dire Dawa, 1362, Ethiopia

3. Department of Electrical Engineering/F'SATI, Tshwane University of Technology, Pretoria, 0001, South Africa

4. School of Electrical and Computer Engineering, Addis Ababa University, Addis Ababa, 1176, Ethiopia

Abstract

<abstract> <p>Offset quadrature amplitude modulation–based filter bank multicarrier (FBMC-OQAM) method is a promising technology for future wireless communication systems. It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. Polar codes, a new class of error-correcting codes, have received much attention recently due to their ability to achieve the Shannon limit with practical decoding complexity. This paper analyzed and investigated the error rate performance of polar-coded FBMC-OQAM systems. Our results show that applying polar codes to FBMC-OQAM systems significantly improves the error rate. In addition, we found that employing random code interleavers can yield additional coding gains of up to 0.75 dB in additive white Gaussian noise (AWGN) and 2 dB in Nakagami-m fading channels. Our findings suggest that polar-coded FBMC-OQAM is a promising combination for future wireless communication systems. We also compared turbo-coded FBMC-OQAM for short code lengths, and our simulations showed that polar codes exhibit comparable error-correcting capabilities. These results will be of interest to researchers and engineers working on the advancement of future wireless communication systems.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Reference39 articles.

1. Bizaki HK (2016) Towards 5G wireless networks: a physical layer perspective. BoD–Books on Demand. https://doi.org/10.5772/63098

2. Demir AF, Elkourdi M, Ibrahim M, Arslan H (2019) Waveform design for 5G and beyond. arXiv preprint arXiv: 1902.05999. https://doi.org/10.1002/9781119333142.ch2

3. Chang RW (1966) High-speed multichannel data transmission with bandlimited orthogonal signals. Bell Syst Tech J 45: 1775‒1796. https://doi.org/10.1002/j.1538-7305.1966.tb02435.x

4. Saltzberg B (1967) Performance of an efficient parallel data transmission system. IEEE Transactions on Communication Technology 15: 805‒811. https://doi.org/10.1109/TCOM.1967.1089674

5. Jiang T, Chen D, Ni C, Qu D (2017) OQAM/FBMC for future wireless communications: Principles, technologies and applications. Academic Press. https://doi.org/10.1016/B978-0-12-813557-0.00010-3

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3