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Software Design Analysis and Implementation of OFDMA and Its Computing Architecture Analysis for 5G/4G eNodeB

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Abstract

Mobile communication applications trends are towards 4G/5G cellular network technologies. These applications need a higher data rate for uplink and downlink data transmissions along with lower bit error rates and latency with improved spectral efficiency. The design and implementation of the OFDMA downlink algorithm for 4G/5G eNodeBs is described in this paper. The receiver design is implemented with the least square channel estimation and zero forcing the algorithm to overcome channel limitations caused by multipath propagation delay, AWGN noise, and Doppler shift. QPSK, 16-QAM, and 64-QAM modulation methods are utilised for system validation using SNR and BER. The system design and implementation are developed. Using the Xilinx tool with Zynq Cortex-A53 and RF agile transceiver for eNodeB constellation plots, BER and mobility curves are obtained for various channel models. From the simulation results and the design implementation it is concluded that, by incorporating the least square channel estimation and zero forcing channel equalization method, the bit error rate is reduced. The data rate achieved in this proposed design is 10 Gbps. In future design an embedded hardware-software co-design and more focus on reconfigurability implementation to be performed for the algorithms of the systems.

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References

  1. View on 5G Architecture, Version 4.0, August 2021. Retrieved March 13, 2022, from https://5g-ppp.eu/wp-content/uploads/2021/08/Architecture-WP-v4.0_forPublicConsultation.pdf

  2. Understanding General Packet Radio Services (GPRS), Agilent Technologies. Retrieved March 05, 2022, from https://web.fe.up.pt/~mricardo/03_04/tsc/artigos/gprsAgilent.pdf

  3. Barth, U. (2006). 3GPP long-term evolution/system architecture evolution: Overview, Alcatel. Retrieved March 13, 2022, from https://docplayer.net/21034633-3gpp-long-term-evolution-system-architecture-evolution-overview.html

  4. IEEE. (2017). IEEE 5G and beyond technology roadmap white paper, white paper. IEEE Advancing Technology of Humanity, New Jersey, USA. Retrieved March 13, 2022, form https://futurenetworks.ieee.org/images/files/pdf/ieee-5g-roadmap-white-paper.pdf

  5. Dornal, S. K. (2022). LTE whitepaper. Retrieved March 13, 2022, from https://www.3g4g.co.uk/Lte/LTE_WP_0910_Santosh.pdf

  6. Sesia, S., Toufik, I., & Baker, M. (2009). LTE-the UMTS long term evolution: From theory to practice. Wiley.

    Book  Google Scholar 

  7. ITU-R M.2083-0. (2015). IMT vision-framework and overall objectives of the future development of IMT for 2020 and beyond. ITU.

    Google Scholar 

  8. Shafi, M., Molisch, A. F., Smith, P. J., Haustein, T., Zhu, P., Silva, P. D., Tufvesson, F., Benjebbour, A., & Wunder, G. (2017). 5G: A tutorial overview of standards, trials, challenges, deployment, and practice. IEEE Journal of Selected Areas in Communications, 35, 1201–1221.

    Article  Google Scholar 

  9. 5G-PPP Test, Measurement and KPIs Validation Working Group, validating 5G Technology Performance—Assessing 5G Architecture and Application Scenarios. 5G-PPP white paper. Retrieved June 03, 2021, from https://5g-ppp.eu/wp-content/uploads/2019/06/TMV-White-Paper-V1.1-25062019.pdf

  10. 3GPP. (2014). Evolved universal terrestrial radio access (E-UTRA): LTE physical layer: General description. TS 36.201, Rel.12.0.0.

  11. 3GPP. (2016). LTE, evolved universal terrestrial radio access (E-ULTRA), physical channels and modulation. TS 36.211 version 13.2.0.

  12. Foegelle, M.D. (2019). Testing the 5G new radio. In Proceedings of the 2019 13th European conference on antennas and propagation (EuCAP’19), Krakow, Poland, 31 March–5 April 2019.

  13. Zayas, A. D. (2020). A modular experimentation methodology for 5G deployments: The 5GENESIS approach. MPDI Sensors, 20, 6652.

    Article  Google Scholar 

  14. Zaidi, A. A., Baldemair, R., Andersson, M., Faxér, S., Molés-Cases, V., & Wang, Z. (2017). Designing for the future: The 5G NR physical layer. Ericsson Technology Review. Retrieved April 16, 2021, from https://www.ericsson.com/assets/local/publications/ericsson-technology-review/docs/2017/designing-for-the-future---the-5g-nr-physical-layer.pdf

  15. 5G Standalone Architecture. Samsung Technical White Paper, January 2021.

  16. Who & How: Making 5G NR Standards. Samsung White paper, June 2018.

  17. 3GPP. (2019). 5G; Management and orchestration; 5G end to end Key Performance Indicators (KPI). TS 28.554 Release version 15.2.0, (ETSI TS 128 554 V15.2.0), (2019-05).

  18. 3GPP. (2021). 5G; Management and orchestration; 5G end to end Key Performance Indicators (KPI). TS 28.554 version 16.7.0, (ETSI TS 128 554 V16.7.0), (2021-01).

  19. Service performance measurement methods over 5G experimental networks. In White paper: ICT-19 performance KPIs May 2021. Retrieved December 27, 2021, from https://doi.org/10.5281/zenodo.4748482

  20. Yang, Y., & Hua, K. (2019). Emerging technologies for 5G-enabled vehicular networks. In Special section on distributed computing infrastructure for cyber-physical systems.

  21. Gandia, D. M. (2016). 3GPP LTE: Performance analysis and evolution towards 4G with coordinated multi-point transmission. Ph.D. thesis, Departamento de Commicaciones, UniversitatPolitecnica de Valencia.

  22. 3GPP. (2018). 5G. 5G NR user equipment (UE) radio access capabilities. TS 38.306.

  23. SNS Telecom and IT. (2021). The public safety LTE and 5G Market: 2020–2030-opportunities, challenges, strategies and forecasts. Research and market. SNS Telecom and IT.

  24. Rao, S. K., & Prasad, R. (2018). Impact of 5G technologies on industry 4.0. Wireless Personal Communications, 100(1), 145–159.

    Article  Google Scholar 

  25. Plan and preliminary report on the deployment options for 5G technologies for CCAM, 5G for cooperative and connected automated MOBIlity on X-border corridors. Devlivery No. D6.1, Version V1.0, October 2020.

  26. View on 5G Architecture. 5GPP architecture group, version 3.0, June 2019

  27. Udoh, S. J., & Srivastava, V. M. (2020). Analytical modeling of radio network performance for 5G (non-standalone) and its network connectivity. Journal of Communications, 15(12), 886–895.

    Article  Google Scholar 

  28. Lien, S., Shieh, S., Huang, Y., Su, B., Hsu, Y., & Wei, H. (2017). 5G new radio: Waveform, frame structure, multiple access, and initial access. IEEE Communications Magazine, 55(6), 64–71.

    Article  Google Scholar 

  29. Gomez-Miguelez, I., Garcia-Saavedra, A., Sutton, P. D., Serrano, P., Cano, C., & Leith, D. J. (2020) srslte: An open-source platform for LTE evolution and experimentation. CoRR, vol. abs/1602.04629, 2016. Retrieved December 25, 2020, from http://arxiv.org/abs/1602.04629

  30. ARM Cortex-A53 MP-core processor technical reference manual, 2018. Retrieved December 06, 2020, from https://developer.arm.com/documentation/ddi0500/latest/

  31. Garg, S. (2017). Candidate waveforms for wireless communications: Analysis via hardware software co-design on ZynqSoC. M. Tech thesis, ECE, Indraprastha Institute of Information Technology.

  32. Guo, J. (2015) Design and implementation of LTE-A and 5G kernel algorithms on SIMD vector processor. Master thesis, School of Information and Communication Technology (ICT), KTH Royal Institute of Technology.

  33. Berlee, K. W. (2021). Design and implementation of real-time cognitive dynamic spectrum radio targeting the FM radio band with PHYDYAS-FS-FBMC. Ph.D. thesis, University of Strathclyde.

  34. Handagala, S. (2020). Sub-6 GHz PHY layer implementation for future wireless systems using software defined radio; a platform and applications. Ph.D. thesis, Department of Electrical and Computer Engineering, Northeastern University.

  35. Parvez, I., Rahmati, A., Guvenc, I., Sarwat, A. I., & Dai, H. (2018). A survey on low latency towards 5G: RAN, core network and caching solutions. IEEE Communications Surveys & Tutorials, 20(4), 3098–3130.

    Article  Google Scholar 

  36. Vasanth Kumar, T. R., & Prasad, K. V. (2019). FPGA based design and implementation of DUC/DDC based OFDM for data/image transmission. International Journal of Electrical and Electronics Engineering and Telecommunication, 8(4), 199–204.

    Google Scholar 

  37. Ganesh, G. V., Krishna, B. M., Kumar, K. S., Prathyusha, T., Venkatesh, R., & Jessy, T. V. (2015). FPGA implementation of OFDM transmitter using Simulink and Xilinx system generator. Journal of Theoretical and Applied Information Technology, 78(1), 125–131.

    Google Scholar 

  38. Venkataramanan, V., Lakshmi, S., & Kanetkar, V. A. (2019). Design and implementation of LTE physical layer on FPGA. International Journal Computer Applications in Technology, 61(1–2), 127–134.

    Article  Google Scholar 

  39. Agarwal, A., Sinha, V. K., Palisetty, R., Kumar, P., Ray, K. C., Kumar, K., & Pandey, T. (2019). Performance analysis and FPGA prototype of variable rate GO-OFDMA baseband transmission scheme. Wireless Personal Communications, 108, 785–809.

    Article  Google Scholar 

  40. Suryawanshi, S., Thakare, L. P., & Deshmukh, A. Y. (2015). Implementation of MIMO-OFDM transceiver architecture design with Simulink. International Journal of Engineering Research and General Science, 3(2), 834–841.

    Google Scholar 

  41. Kilaru, S. (2017). Hardware implementation of MISO on orthogonal frequency division multiplexing platform with the help of Alamouti algorithm. International Journal of Electronics and Telecommunications, 63(2), 137–143.

    Article  Google Scholar 

  42. Venkataramanan, V., & Lakshmi, S. (2022). Performance analysis of LTE physical layer using hardware co-simulation techniques and implementation on FPGA for communication systems. International Journal of Communication Systems, 32(2), e4125.

    Google Scholar 

  43. Kim, Y., Kwon, L., & Park, E. C. (2021). OFDMA backoff control scheme for improving channel efficiency in the dynamic network environment of IEEE 802.11ax WLANs. Sensors, 22(5111), 1–22.

    Google Scholar 

  44. Ansar, H., & Noor, M. S. (2018). Bandwidth utilization efficiency enhancement for OFDM-based WSN (pp. 1–23). Wiley.

    Google Scholar 

  45. Omar, H. A. (2015). Implementation and simulation study of coherent optical orthogonal frequency-division multiplexing systems. Ph.D. thesis, Universitat Paderborn

  46. Zeglam, M. B. (2017). A novel multi-band co-OFDM based long reach passive optical network architecture. MASc thesis, Department of Electrical and Computer Engineering, University of Waterloo.

  47. Singh, N., Santosh, S. S., & Darak, S. J. (2021). Towards intelligent reconfigurable wireless physical layer (PHY). IEEE Open Journal of Circuits and Systems, 2, 226–240.

    Article  Google Scholar 

  48. Duo, Y., Zhang, F. (2018). Design and implementation of OFDM communication system based on ARM. In 10th international conference on intelligent human-machine systems and cybernetics (pp. 362–365).

  49. Zitouni, R., Bouaroua, H., & Senouci, B. (2017). Hardware-software codesignfor software defined radio: IEEE 802.11p receiver case study. In RICESS.

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Correspondence to Hemant Patidar.

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Dessai, S.N., Patidar, H. Software Design Analysis and Implementation of OFDMA and Its Computing Architecture Analysis for 5G/4G eNodeB. Wireless Pers Commun 130, 1371–1397 (2023). https://doi.org/10.1007/s11277-023-10335-1

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