Research Article

Pulse Based GFDM Modulation Technique for Future Generation Communication Systems

Shatrughna Prasad Yadav
Guru Nanak Institute of Technology, India.
* Corresponding author
DOI icon 10.24018/ejece.2022.6.6.468

Read Counter
419

Downloads
325

Citations

Share

Article Sidebar

Submitted 2022-09-27
Published 2022-11-03

Read counter = 419 times

Table of Contents

Article Main Content

Future mobile communication systems are mainly focused on flexibility, reliability, scalability, spectral efficiency, and robustness. A higher data rate, increased capacity, higher mobility, lower latency, and improved quality are prime objectives that need to be improved in future communication systems. This paper investigates generalized frequency division multiplexing (GFDM), a suitable waveform candidate for future communication systems. It has low complexity compared to FBMC and is highly suitable for burst signal transmission. Due to the use of non-rectangular pulse shaping, out-of-band leakage is also less. This technique is more flexible in terms of frequency localization, scalability, and integration with MIMO. Its performance in terms of BER has been computed considering the number of subcarriers, number of sub-symbols, input power back-off, and roll-off factor as variable parameters. It has been observed that change in the BER is low when the number of sub-carriers is changed but is more for change in the number of sub-symbols. Its performance degrades when the number of subcarriers, the value of the roll-off factor, and the power back-off are increased. But BER performance improves with an increase in the number of sub-symbols.
Keywords: 5G, Bit Error Rate, Generalized Frequency Division Multiplexing, Out-Of-Band Leakage, Spectrum Efficiency.

References

  1. Hilario-Tacuri A, Fortes JMP, Sampaio-Neto R, Soncco L, Donaires D, Borja J. Performance Evaluation of Generalized Frequency Division Multiplexing Systems over Non-Linearities With Memory, IEEE Access, 2019; 7: 119131-119139.
     Google Scholar
  2. Prasad YS. Filter Bank Multicarrier Modulation Techniques for 5G and Beyond Wireless Communication Systems, European Journal of Electrical Engineering and Computer Science, 2022; 6(2): 8-24.
     Google Scholar
  3. Murad M, Tasadduq IA, Otero P. Towards Multicarrier Waveforms Beyond OFDM: Performance Analysis of GFDM Modulation for Underwater Acoustic Channels, IEEE Access, 2020; 8: 222782-222799.
     Google Scholar
  4. Na Z, Zhang M, Xiong1 M, Xia J, Liu X, Lu W. Pseudo-Noise Sequence Based Synchronization for Generalized Frequency Division Multiplexing in 5G Communication System, IEEE Access, 2018; 6:14812-14819.
     Google Scholar
  5. Prasad YS, Chandra BS. PAPR Reduction for Improved Efficiency of OFDM Modulation for Next Generation Communication Systems, International Journal of Electrical and Computer Engineering, 2016; 6(5): 2310-2321.
     Google Scholar
  6. Zhenyu Na, Jiaqi Lv, Fan Jiang, Mudi Xiong, and Nan Zhao, Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT, IEEE Internet of Things Journal, 2019; 6(4): 5999-6006.
     Google Scholar
  7. Prasad Y, Bera, Chandra S. Investigations on PAPR Reduction using PTS Technique for OFDM Communication Systems. Journal of Communication Engineering & Systems, 2015; 5(3):19-26.
     Google Scholar
  8. Osaki S, Sugiura S. Impact of Inter-Frame Interference on Eigen decomposition-precoded Non-Orthogonal Frequency-Division Multiplexing, IEEE Wireless Communications Letters, 2021; 10(7): 1567-1571.
     Google Scholar
  9. Han S, Sung Y, Lee YH. Filter Design for Generalized Frequency-Division Multiplexing, IEEE Transactions on Signal Processing, 2017; 65(7): 1644-1659.
     Google Scholar
  10. Prasad YS, Chandra BS. PAPR Reduction using Selective Mapping Method for OFDM Communication Systems, Journal of Communication Engineering & Systems, 2015; 5(3): 50-57.
     Google Scholar
  11. Wei P, Xiao Y, Dan L, Ge L, Xiang W. N-Continuous Signaling for GFDM, IEEE Transactions on Communications, 2020; 68(2); 947-958.
     Google Scholar
  12. Li F, Zheng K, Zhao L, Zhao H, Li Y. Design and Performance of a Novel Interference-Free GFDM Transceiver with Dual Filter, IEEE Transactions on Vehicular Technology, 2019; 68 (5): 4695-6706.
     Google Scholar
  13. Towliat M, Tabatabaee SMJA. GFDM Interference Mitigation Without Noise Enhancement, IEEE Communications Letters, 2018; 22(5): 1042-1045.
     Google Scholar
  14. Yan Li, Kai Niu, and Chao Dong, Polar-Coded GFDM Systems, IEEE Access, 2019; 7:149299-149307.
     Google Scholar
  15. Prasad YS, Chandra BS. Reduction of PAPR in SC-FDMA System using Pulse Shaping Technique. International Journal of Applied Engineering Research, 2015; 10 (23): 43509-43513.
     Google Scholar
  16. Li F, Zhao L, Zheng K, Wang J. A interference-free transmission scheme for GFDM system, in Proc. IEEE Globecom Workshops, 2016; 1?6.
     Google Scholar
  17. Wollschlaeger M, Sauter T, Jasperneite J. The future of industrial communication: Automation networks in the era of the Internet of Things and industry 4.0, IEEE Ind. Electron. Mag, 2017; 11 (1) :17-27.
     Google Scholar
  18. Bingham JAC. Multicarrier modulation for data transmission: An idea whose time has come, IEEE Commun. Mag, 1990; 28(5): 5?14.
     Google Scholar
  19. Chen S, Zhao J. The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication, IEEE Commun. Mag, 2014; 52(5), 36?43.
     Google Scholar
  20. Mirahmadi M, Al-Dweik A, Shami A. BER reduction of OFDM based broadband communication systems over multipath channels with impulsive noise. IEEE Trans. Commun, 2013; 61(11): 4602?4615.
     Google Scholar
  21. Fechtel SA, Blaickner A. Efficient FFT and equalizer implementation for OFDM receivers, IEEE Trans. Consum. Electron, 1999; 45(4): 1104?1107.
     Google Scholar
  22. Haykin S. Cognitive radio: Brain-empowered wireless communications, IEEE J. Sel. Areas Commun, 2005; 23 (2): 201-220.
     Google Scholar
  23. Banelli P, Buzzi S, Colavolpe G, Modenini A, Rusek F, Ugolini A. Modulation formats and waveforms for 5G networks: Who will be the heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency, IEEE Signal Process. Mag, 2014; 31 (6): 80?93.
     Google Scholar
  24. Fettweis GP. The tactile Internet: Applications and challenges, IEEE Veh. Technol. Mag., 2014; 9(1): 64_70.
     Google Scholar
  25. Wunder G, Jung P, Kasparick M, Wild T, Schaich F, Chen Y, ten Brink S, et al. 5G New: Non-orthogonal, asynchronous waveforms for future mobile applications, IEEE Communications Magazine, 2014; 52(2): 97?105.
     Google Scholar
  26. Matth M, Michailow N, Gaspar I, Fettweis G. Influence of pulse shaping on bit error rate performance and out of band radiation of generalized frequency division multiplexing, in Proc. IEEE Int. Conf. Commun. Workshops, 2014; 43?48.
     Google Scholar
  27. Shariatmadari H, Ratasuk R, Iraji S, Laya A, Taleb T, J?ntti R, Ghosh A. Machine-type communications: Current status and future perspectives toward 5G systems, IEEE Commun. Mag, 2015; 53(9):10-17.
     Google Scholar
  28. Prasad YS. Orthogonal Versus Novel Orthogonal Pulse Shaped Waveforms for Future Generation Wireless Communication Systems, IEEE R10 HTC 2022 Conference, Hyderabad, 2022.
     Google Scholar
  29. Campolo C, Molinaro A, Iera A, Menichella F. 5G network slicing for vehicle-to-everything services, IEEE Wireless Commun, 2017; 24 (6): 38-45.
     Google Scholar