Performance Analysis of Broadband Power-line Communications Systems Under the Alpha-stable Impulsive Noise

Fan YANG; Hui JIA; Baoshu LIU; Keyu LONG

doi:10.11999/JEIT180261

Volume 41 Issue 6

Jun. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(6): 1374-1380

Fan YANG, Hui JIA, Baoshu LIU, Keyu LONG. Performance Analysis of Broadband Power-line Communications Systems Under the Alpha-stable Impulsive Noise[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1374-1380. doi: 10.11999/JEIT180261

Citation:

Fan YANG, Hui JIA, Baoshu LIU, Keyu LONG. Performance Analysis of Broadband Power-line Communications Systems Under the Alpha-stable Impulsive Noise[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1374-1380. doi: 10.11999/JEIT180261

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Performance Analysis of Broadband Power-line Communications Systems Under the Alpha-stable Impulsive Noise

doi: 10.11999/JEIT180261

Fan YANG^{1
,
,},
Hui JIA¹,
Baoshu LIU²,
Keyu LONG²

1.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
The Second Research Institute of CAAC, Chengdu 610041, China

Funds: The Civil Aviation Joint Research Fund (U1633129), The Sichuan Science and Technology Program (2019YFG0119), The Fundamental Research Funds for the Central Universities (ZYGX2016J009)

Received Date: 2018-03-21
Rev Recd Date: 2019-03-24

Available Online: 2019-04-03

Publish Date: 2019-06-01

Abstract

Abstract

In broadband Power-Line Communications (PLC), the background noise commonly assumed as Gaussian may not truly depict the effect of the human activities on noise characteristics. Symmetric Alpha-Stable (S$\alpha$S) process is used to model the PLC background noise, obtaining analytical expressions, and the analytical Symbol Error Rate (SER) performance is investigated for Orthogonal Frequency Division Multiplexing (OFDM)-based PLC systems. The analysis shows that the real or the imaginary component after the Fast Fourier Transform (FFT) of the received complex baseband S$\alpha$S noise samples follows univariate S$\alpha$S distribution. Due to the fact that the S$\alpha$S background noise occupies the whole OFDM system bandwidth, the SER performance of the system decreases as the employed FFT size grows.

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References(17)

References

张婷, 王祖良, 黄世奇. 基于OFDM的高速电力线载波通信系统设计[J]. 测控技术, 2017, 36(12): 39–42. doi: 10.19708/j.ckjs.2017.12.009

ZHANG Ting, WANG Zuliang, and HUANG Shiqi. Design of high speed power line carrier communication system based on OFDM[J]. Measurement &Control Technology, 2017, 36(12): 39–42. doi: 10.19708/j.ckjs.2017.12.009

刘玉珍, 王化琳. 电力线载波通信的OFDM编码方案[J]. 计算机应用与软件, 2017, 34(4): 131–134. doi: 10.3969/j.issn.1000-386x.2017.04.023

LIU Yuzhen and WANG Hualin. OFDM coding scheme for network and power line carrier communication[J]. Computer Applications and Software, 2017, 34(4): 131–134. doi: 10.3969/j.issn.1000-386x.2017.04.023

PICORONE A A M, OLIVEIRA T R, and RIBEIRO M V. PLC channel estimation based on pilots signal for OFDM modulation: A review[J]. IEEE Latin America Transactions, 2014, 12(4): 580–589. doi: 10.1109/TLA.2014.6868858

MIDDLETON D. Statistical-physical models of electromagnetic interference[J]. IEEE Transactions on Electromagnetic Compatibility, 1977, EMC-19(3): 106–127. doi: 10.1109/TEMC.1977.303527

ANDREADOU N and PAVLIDOU F N. Modeling the noise on the OFDM power-line communications system[J]. IEEE Transactions on Power Delivery, 2010, 25(1): 150–157. doi: 10.1109/TPWRD.2009.2035295

TRAN T H, DO D D, and HUYNH T H. PLC impulsive noise in industrial zone: Measurement and characterization[J]. International Journal of Computer and Electrical Engineering, 2013, 5(1): 48–51. doi: 10.7763/IJCEE.2013.V5.660

BENAISSA A, ABDELMALEK A, and FEHAM M. Improved reliability of power line communication under alpha-stable noise[C]. Proceedings of 2017 International Conference on Electrical Engineering - Boumerdes, Boumerdes, Algeria, 2017: 1–5. doi: 10.1109/ICEE-B.2017.8192015.

GE Xiaohu, ZHU Guangxi, and ZHU Yaoting. An improved modeling for network traffic based on alpha-stable self-similar processes[J]. Chinese Journal of Electronics, 2003, 12(4): 494–498.

GE Xiaohu, QIU Yehong, CHEN Jiaqi, et al. Wireless fractal cellular networks[J]. IEEE Wireless Communications, 2016, 23(4): 110–119. doi: 10.1109/MWC.2016.7721749

LAGUNA-SANCHEZ G and LOPEZ-GUERRERO M. On the use of alpha-stable distributions in noise modeling for PLC[J]. IEEE Transactions on Power Delivery, 2015, 30(4): 1863–1870. doi: 10.1109/TPWRD.2015.2390134

MAHMOOD A and CHITRE M. Optimal and near-optimal detection in bursty impulsive noise[J]. IEEE Journal of Oceanic Engineering, 2017, 42(3): 639–653. doi: 10.1109/JOE.2016.2603790

DEEPA T, RAO T R, MATHUR H, et al. Performance analysis of digitized multicarrier system for optical wireless communication[C]. Proceedings of 2017 Global Wireless Summit, Cape Town, South Africa, 2017: 29–33. doi: 10.1109/GWS.2017.8300293.

ZOLOTAREV V M. One-dimensional Stable Distributions[M]. Providence, American Mathematical Society, 1986: 1–284.

GONZALEZ G J, PAREDES L J, and ARCE R G. Zero-order statistics: A mathematical framework for the processing and characterization of very impulsive signals[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3839–3851. doi: 10.1109/TSP.2006.880306

SAMORODNITSKY G and TAQQU M S. Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance[M]. New York: Chapman & Hall/CRC, 1994: 1–632.

NOLAN J P. Stable Distributions: Models for Heavy Tailed Data[M]. New York: Springer, 2016.

NOLAN J P. Numerical calculation of stable densities and distribution functions[J]. Communications in Statistics. Stochastic Models, 1997, 13(4): 759–774. doi: 10.1080/15326349708807450

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