Abstract
With the passage of previous several decades it is analyzed that the upcoming generation of mobile communication should provide high data rates as well as capacity of data transmission. As far as Generalized Frequency Division Multiplexing (GFDM) is concerned, the pulse shaping filters plays a significant role in it. The Bit Error Rate (BER) performance of GFDM is worse as compared to OFDM due to the lack of initial orthogonality in the subcarriers. This can be made better with the usage of different pulse shaping filter. This paper presents the implementation of the Raised Cosine (RC), Square Root Raised Cosine (SRRC) and Gaussian filter along with the MRC combining scheme of MIMO for GFDM. The simulation results show that the different SNR values can be obtained for the respective BER in GFDM.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cho, Y.S., Kim, J., Yang, W.Y., Kang, C.G.: MIMO-OFDM Wireless Communications with MATLAB. Wiley, Hoboken (2010)
Zhou, S., Wang, Z.: OFDM for Underwater Acoustic Communications. Wiley, Hoboken (2014)
Hanzo, L., Keller, T.: OFDM and MC-CDMA: A Primer. Wiley, Hoboken (2006)
Muller, S.H., Huber, J.B.: A novel peak power reduction scheme for OFDM. In: 8th International Symposium on Personal, Indoor and Mobile Radio Communications, Finland, pp. 1090–1094. IEEE Press, (1997)
Re, E.D., Fantacci, R., Morosi, S., Seravalle, R.: Comparison of CDMA and OFDM techniques for downstream power-line communications on low voltage grid. IEEE Trans. Power Delivery 18, 1104–1109 (2003)
Farhang, A., Marchetti, N., Doyle, L.E.: Low complexity transceiver design for GFDM. IEEE Trans. Sig. Process. 64, 1507–1518 (2016)
Gasper, I., Mendes, L., Matthe, M., Michailow, N., Festag, A., Fettweis, G.: LTE-compatible 5G PHY based on generalized frequency division multiplexing. In:11th International Symposium on Wireless Communications Systems, Spain, pp. 209–213. IEEE Press (2014)
Sharifian, Z., Omidi, M., Farhang, A., Sourck, H.S.: Polynomial-based compressing and iterative expanding for PAPR reduction in GFDM. In: 23rd Iranian Conference on Electrical Engineering, Iran, pp. 518–523. IEEE Press (2015)
Michailow, N., Mendes, L., Matthe, M., Gaspar, I., Festag, A., Fettweis, G.: Robust WHT-GFDM for the next generation of wireless networks. IEEE Commun. Lett. 19, 106–109 (2014)
Matthe, M., Mendes, L.L., Fettweis, G.: Space-time coding for generalized frequency division multiplexing. In: 20th European Wireless conference, Spain, pp. 1–5. IEEE Press (2010)
Matthe, 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: IEEE International Conference on Communications Workshops, Australia, pp. 43–48. IEEE Press (2014)
Datta, R., Michailow, N., Krone, S., Lentmaier M., Fettweis, G.: Generalized frequency division multiplexing in cognitive radio. In: 20th European Signal Processing Conference, Romania, pp. 2679–2683. IEEE Press (2016)
Matthe, M., Mendes, L.L., Fettweis, G.: Generalized frequency division multiplexing in a Gabor transform setting. IEEE Commun. Lett. 18, 1379–1382 (2014)
Bandari, S.K., Vakamulla, V.M., Drosopoulos, A.: GFDM/OQAM performance analysis under nakagami fading channels. Phys. Commun. 26, 162–169 (2018)
Zhong, Z., Guo, J.: Bit error rate analysis of a MIMO-generalized frequency division multiplexing scheme for 5th generation cellular systems. In: IEEE International Conference on Electronic Information and Communication Technology, China, pp. 62–68. IEEEPress (2016)
Carrick, M., Reed, J.H.: Improved GFDM equalization in severe frequency selective fading. In: IEEE 38th Sarnoff Symposium, USA, pp. 1–6. IEEE Press (2017)
Lim, B., Ko, C.: SIR analysis of OFDM and GFDM waveforms with timing offset, CFO and phase noise. IEEE Trans. Wirel. Commun. 16, 6979–6990 (2017)
Kumar, A., Magarini, M., Bregni, S.: Improving GFDM symbol error rate performance using “Better than Nyquist” pulse shaping filters. IEEE Latin Am. Trans. 15, 1244–1249 (2017)
Na, Z., et al.: Turbo receiver channel estimation for GFDM-based cognitive radio networks. IEEE Access 6, 9926–9935 (2018)
Michailow, N., et al.: generalized frequency division multiplexing for 5th generation cellular networks. IEEE Trans. Commun. 62, 3045–3061 (2014)
Juboori, G.A., Doufexi, A., Nix, A.R.: System level 5G evaluation of MIMO-GFDM in an LTE-A platform. In: 24th International Conference on Telecommunications, Cyprus, pp. 1–5. IEEE Press (2017)
Sendrei, L., Marchevsky, S., Michailow, N., Fettweis, G.: Iterative receiver for clipped GFDM signals. In: 24th International Conference Radioelektronika, Slovakia, pp. 1–4. IEEE Press (2014)
Ortega, A., Fabbri, L., Tralli,V.: Performance evaluation of GFDM over nonlinear channel. In: International Conference on Information and Communication Technology Convergence (ICTC), South Korea, pp. 12–17. IEEE Press (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, P., Kansal, L. (2019). Analysis of the Impact of Diverse Pulse Shaping Filters on BER of GFDM System Incorporated with MRC Diversity Combining Scheme. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 956. Springer, Singapore. https://doi.org/10.1007/978-981-13-3143-5_2
Download citation
DOI: https://doi.org/10.1007/978-981-13-3143-5_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3142-8
Online ISBN: 978-981-13-3143-5
eBook Packages: Computer ScienceComputer Science (R0)