Performance Analysis of 5G New Radio LDPC over Different Multipath Fading Channel Models

Performance Analysis of 5G New Radio LDPC over Different Multipath Fading Channel Models

Автор: Mohammed Hussein Ali, Ghanim A. Al-Rubaye

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 4 vol.15, 2023 года.

Бесплатный доступ

The creation and developing of a wireless network communication that is fast, secure, dependable, and cost-effective enough to suit the needs of the modern world is a difficult undertaking. Channel coding schemes must be chosen carefully to ensure timely and error-free data transfer in a noisy and fading channel. To ensure that the data received matches the data transmitted, channel coding is an essential part of the communication system's architecture. NR LDPC (New Radio Low Density Parity Check) code has been recommended for the fifth-generation (5G) to achieve the need for more internet traffic capacity in mobile communications and to provide both high coding gain and low energy consumption. This research presents NR-LDPC for data transmission over two different multipath fading channel models, such as Nakagami-m and Rayleigh in AWGN. The BER performance of the NR-LDPC code using two kinds of rate-compatible base graphs has been examined for the QAM-OFDM (Quadrature Amplitude Modulation-Orthogonal Frequency Division Multiplexing) system and compared to the uncoded QAM-OFDM system. The BER performance obtained via Monte Carlo simulation demonstrates that the LDPC works efficiently with two different kinds of channel models: those that do not fade and those that fade and achieves significant BER improvements with high coding gain. It makes sense to use LDPC codes in 5G because they are more efficient for long data transmissions, and the key to a good code is an effective decoding algorithm. The results demonstrated a coding gain improvement of up to 15 dB at 10-3 BER.

Еще

QAM-OFDM, NR-LDPC, Nakagami-m Fading Channel, BER Performance, Rician Fading Channels, Turbo Codes (TCs), 3rd Generation Partnership 5G NR, Rayleigh Fading Channel, Line of Sight (LOS), AWGN

Короткий адрес: https://sciup.org/15018629

IDR: 15018629   |   DOI: 10.5815/ijcnis.2023.04.01

Список литературы Performance Analysis of 5G New Radio LDPC over Different Multipath Fading Channel Models

  • M. Maksimovi and M. Forcan, “Application of 5G Channel Coding Techniques in Smart Grid : LDPC vs . Polar coding for Command Messaging,” 7th Int. Conf. Electr. Electron. Comput. Eng., pp. 746–751, 2020.
  • D. Čarapić and M. Maksimović, “A Comparison of 5G Channel Coding Techniques,” Ijeec - Int. J. Electr. Eng. Comput., vol. 4, no. 2, pp. 71–82, 2020, doi: 10.7251/ijeec2002071m.
  • Y. Fang, G. Bi, Y. L. Guan and F. C. M. Lau, "A Survey on Protograph LDPC Codes and Their Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 1989-2016, Fourthquarter 2015, doi: 10.1109/COMST.2015.2436705.
  • S. Cheng, “Comparative Study on 5G Communication Channel Coding Technology,” vol. 87, no. November 2016, pp. 74–77, doi: 10.2991/icmeit-19.2019.13.
  • M. Ben Abdessalem, A. Zribi, T. Matsumoto, E. Dupraz, and A. Bouall, “LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications,” no. November, 2019, doi: 10.1016/j.phycom.2019.100947.
  • J. Malhotra, “Performance Evaluation of Channel Codes for High Data Rate Mobile Wireless System,” no. July, pp. 24–36, 2015, doi: 10.5815/ijwmt.2015.04.03.
  • Y. Jiang, A. Ashikhmin, and N. Sharma, “LDPC Codes for Flat Rayleigh Fading Channels with Channel Side Information,” vol. 56, no. 8, pp. 1207–1213, 2008..
  • A. Anbalagan , S. Subramani, C. Kamalanathan, and S. Panda" Performance analysis of short length low density parity check codes," Int J Speech Technol 24, 615–624,2021. doi:org/10.1007/s10772-021-09815-1.
  • Y. Fang, G. Han, G. Cai, F. C. M. Lau, P. Chen and Y. L. Guan, "Design Guidelines of Low-Density Parity-Check Codes for Magnetic Recording Systems," in IEEE Communications Surveys & Tutorials, vol. 20, no. 2, pp. 1574-1606, Secondquarter 2018, doi: 10.1109/COMST.2018.2797875.
  • S. A. Ghauri, M. E. U. Haq, M. Iqbal and J. U. Rehman, "Performance Analysis of LDPC Codes on Different Channels," 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies, 2014, pp. 235-240, doi: 10.1109/NGMAST.2014.34.
  • G. A. Al-rubaye, C. C. Tsimenidis, and M. Johnston, "Performance evaluation of T‐COFDM under combined noise in PLC with log‐normal channel gain using exact derived noise distributions." IET Communications 13.6 (2019): 766-775.
  • B. Tahir, S. Schwarz and M. Rupp, "BER comparison between Convolutional, Turbo, LDPC, and Polar codes," 2017 24th International Conference on Telecommunications (ICT), 2017, pp. 1-7, doi: 10.1109/ICT.2017.7998249.
  • 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; Multiplexing and channel coding (Release 15), 2019.
  • Multiplexing and Channel Coding, document TS 38.212 V15.0.0, 3GPP, Dec. 2017.
  • D. S. Shafiullah, M. R. Islam, Mohammad Mostafa Amir Faisal and I. Rahman, "Optimized Min-Sum decoding algorithm for Low Density PC codes," 2012 14th International Conference on Advanced Communication Technology (ICACT), 2012, pp. 475-480.
  • W. Zhou and M. Lentmaier, “Generalized two-magnitude check node updating with self correction for 5G LDPC codes decoding,” in Proc. 12th Int. ITG Conf. Syst., Commun. Coding, Rostock, Germany, Mar. 2019, pp. 1–6.
  • M.K. Roberts, R. A. Jayabalan, "Modified Optimally Quantized Offset Min-Sum Decoding Algorithm for Low-Complexity LDPC Decoder," Wireless Pers Commun 80, 2015, 561–570. doi: org/10.1007/s11277-014-2026-2.
  • K. Sun and M. Jiang, “A hybrid decoding algorithm for low-rate LDPC codes in 5G,” in Proc. 10th Int. Conf. Wireless Commun. Signal Process. (WCSP), Hangzhou, China, Oct. 2018, pp. 1–5.
  • X. Wu, M. Jiang, and C. Zhao, “Decoding optimization for 5G LDPC codes by machine learning,” IEEE Access, vol. 6, pp. 50179–50186, 2018.
  • G. A. Al-rubaye, C. C. Tsimenidis, and M. Johnston, "Non-binary LDPC coded OFDM in impulsive power line channels." 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015.
  • G. A. Al-rubaye, C. C. Tsimenidis, and M. Johnston, “Low-density parity check coded orthogonal frequency division multiplexing for PLC in non-Gaussian noise using LLRs derived from effective noise probability density functions,” pp. 2425–2432, 2017, doi: 10.1049/iet-com.2017.0265.
  • H. Zarrinkoub, Understanding LTE with MATLAB: from mathematical foundation to simulation, performance evaluation and implementation, John Wiley & Sons, Ltd, 2014.
  • G. A. Al-rubaye, C. C. Tsimenidis, and M. Johnston, "Improved performance of TC-OFDM-PLNC for PLCs using exact derived impulsive noise pdfs." 2017 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2017.
  • Samarendra Nath Sur, Debjyoti Ghosh,"Channel Capacity and BER Performance Analysis of MIMO System with Linear Receiver in Nakagami Channel", IJWMT, vol.3, no.1, pp.26-36, 2013.DOI: 10.5815/ijwmt.2013.01.03
  • G. A. Al-rubaye, "Performance analysis of M‐ary OQAM/FBMC with impact of nonlinear distortion over compound Rician K‐factor unshadowed/κ− μ shadowed fad ing channels." IET Communications 15.1,pp. 60-77 , 2021.
  • P. Chai and L. Zhang, "Indoor radio propagation models and wireless network planning," 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE), 2012, pp. 738-741, doi: 10.1109/CSAE.2012.6272872.
  • S. Sharma, “A Simulation Model for Nakagmi-m Fading Channel with m > 1,” vol. 6, no. 10, pp. 298–305, 2015.
  • Sanjiv Kumar, P. K. Gupta, G. Singh, D. S. Chauhan,"Performance Analysis of Rayleigh and Rician Fading Channel Models using Matlab Simulation", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.9, pp.94-102, 2013.DOI: 10.5815/ijisa.2013.09.11
  • Zachaeus K. Adeyemo, Samson I. Ojo, Simeon B. Ebinaiye, Olasunkanmi F. Oseni, "Development of a Hybridized Diversity Combiner over Nakagami Fading Channel", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.11, No.3, pp. 45-53, 2019. DOI: 10.5815/ijieeb.2019.03.06
  • R. Bose, “Information Theory, Coding and Cryptography”, 3rd Edition, McGraw Hill, July 2, 2016.
  • Multiplexing and Channel Coding, document TS 38.212 V15.0.0, 3GPP, Dec. 2018.
  • O.Bancalo. G.Kolmban, D. Declercq, and V.Savin," Code-design density for efficient layered LDPC decoders with bank memory organization,". Microprocessors and Microsystems:, 63 , 216-225, Nov. 2018. doi.org/10.1016/j.micpro.2018.09.011.
  • S. Ahmadi, 5G NR Architecture, Technology, Implementation, and Operation of 3GPP New Radio Standards, Academic Press, Elsevier, 2019.
  • Ad-Hoc chair (Nokia). Chairman’s Notes of Agenda Item 7.1.4. Channel Coding. 3GPP TSG RAN WG1 Meeting AH 2, R1-1711982 (2017). Available Online: https://portal.3gpp.org/ngppapp/CreateTdoc.aspx? mode=view & contributionId=805088 (accessed on 20 February 2021).
  • S M Shamsul Alam, Anamika Saha, " Performance Analysis of FBMC over OFDM for High Data Rate MIMO Configurations", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.11, No.4, pp. 20-33, 2021.DOI: 10.5815/ijwmt.2021.04.03
Еще
Статья научная
SciUp 2024 © 2024 ©