Abstract
Future wireless networks are researching how to fulfill the growing demand for wireless optical communication. The increased usage of mobile devices and sensors in the real world has resulted in this increasing demand. The fifth-generation (5G) wireless network is the most promising wireless network in the future, with the potential to improve various performance metrics such as spectrum and energy efficiency, high capacity, and low latency. Orthogonal frequency division multiplexing (OFDM) can be produced using cyclic prefix and Fast Fourier Transforms to fight extreme multipath fading. Filtered OFDM, such as Filter-Bank Multi-Carrier (FBMC), can be used to circumvent this limitation. The usage of FBMC to improve the performance of 5G networks is discussed in this paper, along with several hot issues like visible light communication, cognitive radio, and multiple-input multiple-output that FBMC may be utilized with to improve communication.
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: No funding.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Ho, YJ. Peak cancellation for PAPR reduction in filter bank based multicarrier system. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC). IEEE; 2016:1029–31 pp.10.1109/ICTC.2016.7763359Search in Google Scholar
2. Zhang, L, Xiao, P, Zafar, A, Ul Quddus, A, Tafazolli, R. FBMC system: an insight into doubly dispersive channel impact. IEEE Trans Veh Technol 2017;66:3942–56. https://doi.org/10.1109/TVT.2016.2602096.Search in Google Scholar
3. Bellanger, M. FBMC physical layer: a primer. PHYDYAS; 2010:1–31. [Online]. Available from: http://www.ict-phydyas.org/teamspace/internal-folder/FBMC-Primer_06-2010.pdf.Search in Google Scholar
4. Patchala, S, Sailaja, M. Analysis of filter bank multi-carrier system for 5G communications. Int J Wirel Microw Technol 2019;9:39–50. https://doi.org/10.5815/ijwmt.2019.04.04.Search in Google Scholar
5. Schaich, F. Filterbank based multi carrier transmission (FBMC) - evolving OFDM: FBMC in the context of WiMAX. In: 2010 European Wireless Conference (EW). IEEE; 2010:1051–8 pp.10.1109/EW.2010.5483518Search in Google Scholar
6. Abdalla, HF, Hassan, ES, Dessouky, MI. Peak to average power ratio (PAPR) reduction in filter bank multicarrier (FBMC) and orthogonal frequency division multicarrier (OFDM) based visible light communication systems. J Opt Commun; 2020. https://www.degruyter.com/document/doi/10.1515/joc-2020-0085/html.10.1515/joc-2020-0085Search in Google Scholar
7. Tensubam, BD, Chanu, NL, Singh, S. Comparative analysis of FBMC and OFDM multicarrier techniques for wireless communication networks. Int J Comput Appl 2014;100:27–31. https://doi.org/10.5120/17636-8382.Search in Google Scholar
8. Nam, H, Choi, M, Han, S, Kim, C, Choi, S, Hong, D. A new Filter-Bank multicarrier system with two prototype filters for QAM symbols transmission and reception. IEEE Trans Wireless Commun 2016;15:5998–6009. https://doi.org/10.1109/TWC.2016.2575839.Search in Google Scholar
9. Kim, C, Kim, K, Yun, YH, Ho, Z, Lee, B, Seol, JY. QAM-FBMC: a new multicarrier system for post-OFDM wireless communications. In: 2015 IEEE Global Communications Conference (GLOBECOM). IEEE; 2015:1–6 pp.10.1109/GLOCOM.2015.7417044Search in Google Scholar
10. Yun, YH, Kim, C, Kim, K, Ho, Z, Lee, B, Seol, JY. A new waveform enabling enhanced QAM-FBMC systems. In: 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE; 2015, vol 2015:116–20 pp.10.1109/SPAWC.2015.7227011Search in Google Scholar
11. Kim, K, Yun, YH, Kim, C, Ho, Z, Cho, YH, Seol, JY. Pre-processing based soft-demapper for per-tone MIMO operation in QAM-FBMC systems. In: 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE; 2015:507–11 pp.10.1109/PIMRC.2015.7343352Search in Google Scholar
12. Lee, T, Lee, C. Per-tone MMSE receiver for MIMO FBMC-QAM systems. In: 2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE; 2017:1–4 pp.10.1109/ICCE-Asia.2016.7804784Search in Google Scholar
13. Shaheen, IA, Zekry, A, Newagy, F, Ibrahim, R. Performance evaluation of PAPR reduction in FBMC system using nonlinear companding transform. ICT Express 2019;5:41–6. https://doi.org/10.1016/j.icte.2018.01.017.Search in Google Scholar
14. Bouhadda, H, Shaiek, H, Medjahdi, Y, Roviras, D, Zayani, R, Bouallegue, R. Sensitivity analysis of FBMC signals to non linear phase distortion. In: 014 IEEE International Conference on Communications Workshops (ICC). IEEE; 2014:73–8 pp.10.1109/ICCW.2014.6881175Search in Google Scholar
15. Rostom, Z, Le Ruyet, D. SER analysis by Gaussian interference approximation for FBMC system in the presence of phase error. IEEE Int Conf Commun 2015;2015:2662–7. https://doi.org/10.1109/ICC.2015.7248727.Search in Google Scholar
16. Bouhadda, H, Shaiek, H, Roviras, D, Zayani, R, Medjahdi, Y, Bouallegue, R. Theoretical analysis of BER performance of nonlinearly amplified FBMC/OQAM and OFDM signals. EURASIP J Appl Signal Process 2014;2014:60. https://doi.org/10.1186/1687-6180-2014-60.Search in Google Scholar
17. Schellmann, M, Zhao, Z, Lin, H, Siohan, P, Rajatheva, N, Lücken, V, . FBMC-based air interface for 5G mobile: challenges and proposed solutions. In: 2014 9th International conference on cognitive radio oriented wireless networks and communications (CROWNCOM). IEEE;2014:102–7 pp.10.4108/icst.crowncom.2014.255708Search in Google Scholar
18. Liu, X, Qu, D, Jiang, T. A new data-aided synchronization scheme for FBMC-OQAM systems. In: 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP). IEEE; 2016:1–5 pp.10.1109/WCSP.2016.7752565Search in Google Scholar
19. Nissel, R, Schwarz, S, Rupp, M. Filter bank multicarrier modulation schemes for future mobile communications. IEEE J Sel Area Commun 2017;35:1768–82. https://doi.org/10.1109/JSAC.2017.2710022.Search in Google Scholar
20. Freag, H, Hassan, ES, El-Dolil, SA, Dessouky, MI. PAPR reduction for OFDM-based visible light communication systems using proposed hybrid technique. Int J Commun Syst 2018;31:1–7. https://doi.org/10.1002/dac.3582.Search in Google Scholar
21. Freag, H, Hassan, ES, El-Dolil, SA, Dessouky, MI. New hybrid PAPR reduction techniques for OFDM-based visible light communication systems. J Opt Commun 2018;39:427–35. https://doi.org/10.1515/joc-2017-0002.Search in Google Scholar
22. Saltzberg, BR. Performance of an efficient parallel data transmission system. IEEE Trans Commun Technol 1967;15:805–11. https://doi.org/10.1109/TCOM.1967.1089674.Search in Google Scholar
23. Freag, H, Hassan, ES, El-Dolil, SA, Dessouky, MI. PAPR reduction in VLC-OFDM system using CPM combined with PTS method. Int J Comput Digit Syst 2017;6:127–32. https://doi.org/10.12785/ijcds/060304.Search in Google Scholar
24. Estella, I, Pascual-Iserte, A, Payaro, M. OFDM and FBMC performance comparison for multistream MIMO systems. In: 2010 Future Network & Mobile Summit. IEEE; 2010:1–8 pp.Search in Google Scholar
25. Bellanger, M, Renfors, M, Ihalainen, T, Da Rocha, CAF. OFDM and FBMC transmission techniques: a compatible high performance proposal for broadband power line communications. In: ISPLC 2010. IEEE; 2010:154–9 pp.10.1109/ISPLC.2010.5479918Search in Google Scholar
26. Medjahdi, Y, Terré, M, Le Ruyet, D, Roviras, D, Dziri, A. Performance analysis in the downlink of asynchronous OFDM/FBMC based multi-cellular networks. IEEE Trans Wireless Commun 2011;10:2630–9. https://doi.org/10.1109/TWC.2011.061311.101112.Search in Google Scholar
27. Parajuli, HN, Shams, H, Gonzalez, LG, Udvary, E, Renaud, C, Mitchell, J. Experimental demonstration of multi-Gbps multi sub-bands FBMC transmission in mm-wave radio over a fiber system. Opt Express, 2018;26:7306–12.10.1364/OE.26.007306Search in Google Scholar PubMed
28. Sall, S, Shaiek, H, Roviras, D, Medjahdi, Y. Analysis of the nonlinear spectral regrowth in FBMC systems for cognitive radio context. In: ISWCS 2013; The 10th International Symposium on Wireless Communication Systems. VDE; 2013:1–5 pp.Search in Google Scholar
29. Di Stasio, F, Mondin, M, Daneshgaran, F. Multirate 5G downlink performance comparison for f-OFDM and w-OFDM schemes with different numerologies. In: 2018 international symposium on networks, computers and communications (ISNCC). IEEE; 2018:1–6 pp.10.1109/ISNCC.2018.8530905Search in Google Scholar
30. Kaur, S, Kansal, L, Gaba, GS, Safarov, N. Survey of filter bank multicarrier (FBMC) as an efficient waveform for 5G. Int J Pure Appl Math 2018;118:45–9.Search in Google Scholar
31. Medjahdi, Y, Terré, M, Le Ruyet, D, Roviras, D, Nossek, JA, Baltar, L. Inter-cell interference analysis for OFDM/FBMC systems. In: 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications. IEEE; 2009:598–602 pp.10.1109/SPAWC.2009.5161855Search in Google Scholar
32. Zhang, H, Le Ruyet, D, Roviras, D, Sun, H. Capacity analysis of OFDM /FBMC based cognitive radio networks with estimated CSI. In: 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications. IEEE; 2010:1–5 pp.10.4108/ICST.CROWNCOM2010.9240Search in Google Scholar
33. Cao, W, Zhu, J, Li, X, Hu, W, Lei, J. Feasibility of multicarrier modulation signals as new illuminators of opportunity for passive radar: orthogonal frequency division multiplexing versus filter-bank multicarrier. IET Radar Sonar Navig 2016;10:1080–7. https://doi.org/10.1049/iet-rsn.2015.0414.Search in Google Scholar
34. Ihalainen, T, Stitz, TH, Rinne, M, Renfors, M. Channel equalization in filter bank based multicarrier modulation for wireless communications. EURASIP J Appl Signal Process 2007;2007:049389. https://doi.org/10.1155/2007/49389.Search in Google Scholar
35. Jiang, T, Yang, Y, Song, YH. Companding technique for PAPR reduction in OFDM systems based on an exponential function. In: GLOBECOM'05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. p.2801.https://doi.org/10.1109/GLOCOM.2005.1578269.Search in Google Scholar
36. Rahim, MU, Stitz, TH, Renfors, M. Analysis of clipping-based PAPR-reduction in multicarrier systems. In: VTC Spring 2009-IEEE 69th Vehicular Technology Conference. IEEE; 2009:1–5 pp.10.1109/VETECS.2009.5073391Search in Google Scholar
37. Vankka, J. Effect of clipping in wideband cdma system and simple algorithm for peak windowing. In: Digital Synthesizers and Transmitters for Software Radio, 2005:327–38 pp.Search in Google Scholar
38. Renfors, M, Bader, F, Baltar, LG, Le Ruyet, D, Roviras, D, Mege, P, et al.. On the use of filter bank based multicarrier modulation for professional mobile radio. In: 2013 IEEE 77th Vehicular Technology Conference (VTC Spring). IEEE; 2013:1–5 pp.10.1109/VTCSpring.2013.6692670Search in Google Scholar
39. Liu, Z, Xiao, P, Hu, S. Low-PAPR preamble design for FBMC systems. IEEE Trans Veh Technol 2019;68:7869–76. https://doi.org/10.1109/tvt.2019.2926162.Search in Google Scholar
40. Shaheen, IA, Zekry, A, Newagy, F, Ibrahim, R. PAPR reduction of FBMC/OQAM systems based on combination of DST precoding and A-law nonlinear companding technique. In: 2017 International Conference on Promising Electronic Technologies (ICPET). IEEE; 2017:38–42 pp.10.1109/ICPET.2017.13Search in Google Scholar
41. Abdalla, HF, Hassan, ES, Dessouky, MI, Elsafrawey, AS. Three-layer PAPR reduction technique for FBMC based VLC systems. IEEE Access 2021;9:102908–16. https://doi.org/10.1109/access.2021.3098776.Search in Google Scholar
42. Chen, R, Park, KH, Shen, C, Ng, TK, Ooi, BS, Alouini, MS. Visible light communication using DC-biased optical filter bank multicarrier modulation. In: 2018 Global LIFI Congress (GLC). IEEE; 2018, vol 2018:1–6 pp.10.23919/GLC.2018.8319094Search in Google Scholar
43. Jung, S-Y, Kwon, D-H, Yang, S-H, Han, S-K. Inter-cell interference mitigation in multi-cellular visible light communications. Opt Express 2016;24:8512. https://doi.org/10.1364/oe.24.008512.Search in Google Scholar
44. Rottenberg, F. FBMC-OQAM transceivers for wireless and optical fiber communications. UCL-Université Catholique de Louvain; 2018.Search in Google Scholar
45. Dang, J, Zhang, Z, Wu, L, Guo, L. DC and non-DC biased optical filter bank multicarrier communication for IM/DD channel. In: 2016 IEEE International Conference on Communications Workshops (ICC). IEEE; 2016:423–9 pp.10.1109/ICCW.2016.7503824Search in Google Scholar
46. Kang, AS, Vig, R. Computational complexity analysis of FBMC-OQAM under different strategic conditions. In: 2014 Recent Advances in Engineering and Computational Sciences (RAECS). IEEE; 2014:1–6 pp.10.1109/RAECS.2014.6799518Search in Google Scholar
47. Farhang-boroujeny, B. Development of broadband communication systems. IEEE Signal Process Lett 2011;2011:92–112.10.1109/MSP.2011.940267Search in Google Scholar
48. Bellanger, M. Filter banks and OFDM-OQAM for high throughput wireless LAN. In: 2008 3rd International Symposium on Communications, Control and Signal Processing. IEEE; 2008:758–61 pp.10.1109/ISCCSP.2008.4537324Search in Google Scholar
49. Jamal, H, Ghorashi, SA, Sadough, SMS, Soltani, N. Uplink resource allocation for cognitive radio systems: QAM-OFDM or OQAM-OFDM? In: 6th International Symposium on Telecommunications (IST). IEEE; 2012:188–93 pp.10.1109/ISTEL.2012.6482981Search in Google Scholar
50. El-Absi, M, Kaiser, T. Optimal resource allocation based on interference alignment for OFDM and FBMC MIMO cognitive radio systems. In: 2014 European Conference on Networks and Communications (EuCNC). IEEE; 2014:1–5 pp.10.1109/EuCNC.2014.6882676Search in Google Scholar
51. Lajnef, H, Dakhli, MC, Hizem, M, Bouallegue, R. The impact of the nonlinear distortion on OFDM and FBMC signals based cognitive radio applications over Rayleigh fading channel. In: 2016 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE; 2016:1141–5 pp.10.1109/IWCMC.2016.7577219Search in Google Scholar
52. Lajnef, H, Dakhli, MC, Bouallegue, MHR. The nonlinear distortion cancellation for the effect of HPA nonlinearities in filter bank based multicarrier (FBMC) for cognitive radio systems. In: 2016 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE; 2016:638–43 pp.10.1109/IWCMC.2016.7577131Search in Google Scholar
53. Kang, AS, Vig, R. Study of filter bank multicarrier cognitive radio under wireless fading channel. In: 2014 IEEE International Advance Computing Conference (IACC). IEEE; 2014:209–14 pp.10.1109/IAdCC.2014.6779322Search in Google Scholar
54. Zhang, H, Le Ruyet, D, Roviras, D, Sun, H. Noncooperative multicell resource allocation of FBMC-based cognitive radio systems. IEEE Trans Veh Technol 2012;61:799–811. https://doi.org/10.1109/TVT.2011.2180743.Search in Google Scholar
55. Shaat, M, Bader, F. Comparison of OFDM and FBMC performance in multi-relay cognitive radio network. In: 2012 International Symposium on Wireless Communication Systems (ISWCS). IEEE; 2012:756–60 pp.10.1109/ISWCS.2012.6328469Search in Google Scholar
56. Denis, J, Pischella, M, Le Ruyet, D. Optimal energy-efficient power allocation for asynchronous cognitive radio networks using FBMC/OFDM. In: 2016 IEEE Wireless Communications and Networking Conference. IEEE; 2016:1–5 pp.10.1109/WCNC.2016.7564785Search in Google Scholar
57. Perez-Neira, AI, Caus, M, Zakaria, R, Le Ruyet, D, Kofidis, E, Haardt, M, et al.. MIMO signal processing in offset-QAM based filter bank multicarrier systems. IEEE Trans Signal Process 2016;64:5733–62. https://doi.org/10.1109/TSP.2016.2580535.Search in Google Scholar
58. Caus, M, Pérez-Neira, AI. Multi-stream transmission in MIMO-FBMC systems. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing; 2013: 5041–45 pp.10.1109/ICASSP.2013.6638621Search in Google Scholar
59. Lin, M, Li, Y, Xiao, L, Wang, J, Xu, X, et al.. An improved multicarrier based waveform design for cognitive radio communication. In: 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC). IEEE; 2015:122–7 pp.10.1109/ICCI-CC.2015.7259375Search in Google Scholar
60. Hu, S, Liu, Z, Guan, YL, Jin, C, Huang, Y, Wu, JM. Training sequence design for efficient channel estimation in MIMO-FBMC systems. IEEE Access 2017;5:4747–58. https://doi.org/10.1109/ACCESS.2017.2688399.Search in Google Scholar
61. Zhao, Z, Gong, X, Schellmann, M. A novel FBMC/OQAM scheme facilitating MIMO FDMA without the need for guard bands. In: WSA 2016; 20th International ITG Workshop on Smart Antennas. VDE; 2016:1–5 pp.Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Amplifiers
- Evaluating the impact of doping concentration on the performance of in-band pumped thulium-doped fiber amplifiers
- Gain flattened and C/L band amplified spontaneous emission noise re-injected L-band EDFA
- Devices
- Performance signature of transceiver communication system based on the cascade uniform fiber Bragg grating devices
- A novel connected structure of all-optical high speed and ultra-compact photonic crystal OR logic gate
- All-optical simultaneous XOR-AND operation using 1-D periodic nonlinear material
- Implementation of frequency encoded all optical reversible logic
- All-optical frequency-encoded Toffoli gate
- Performance analysis of all optical 2 × 1 multiplexer in 2D photonic crystal structure
- Fibers
- Predication of negative dispersion for photonic crystal fiber using extreme learning machine
- Analysis of optical Kerr effect on effective core area and index of refraction in single-mode dispersion shifted and dispersion flattened fibers
- Novel add-drop filter based on serial and parallel photonic crystal ring resonators (PCRR)
- Integrated Optics
- Design and modeling of multi-operation bit-manipulator logic circuit using lithium niobate waveguides
- Networks
- Modeling and comparative analysis of all-class converged-coexistence NG-PON2 network for 5G-IoT-FTTX-services and application
- Efficient solution for WDM-PON with low value of BER using NRZ modulation
- Systems
- Efficient employment of VCSEL light sources in high speed dispersion compensation system
- Performance analysis of a hybrid FSO–FO link with smart decision making system under adverse weather conditions
- A review on mmWave based energy efficient RoF system for next generation mobile communication and broadband systems
- Fiber nonlinearity compensation using optical phase conjugation in dispersion-managed coherent transmission systems
- Hybrid WDM free space optical system using CSRZ and Rayleigh backscattering noise mitigation
- Differential coding scheme based FSO channel for optical coherent DP-16 QAM transceiver systems
- Performance analysis of free space optical system incorporating circular polarization shift keying and mode division multiplexing
- Filter bank multi-carrier review article
- Investigations of wavelength division multiplexing-orthogonal frequency division multiplexing (WDM-OFDM) system with 50 Gb/s optical access
- FSO performance analysis of a metro city in different atmospheric conditions
- Underwater video transmission with video enhancement using reduce hazing algorithm
- Theory
- SLM based Circular (6, 2) mapping scheme with improved SER performance for PAPR reduction in OCDM without side information
- Modeling and spectral analysis of high speed optical fiber communication with orthogonal frequency division multiplexing
- Optical SNR estimation using machine learning
Articles in the same Issue
- Frontmatter
- Amplifiers
- Evaluating the impact of doping concentration on the performance of in-band pumped thulium-doped fiber amplifiers
- Gain flattened and C/L band amplified spontaneous emission noise re-injected L-band EDFA
- Devices
- Performance signature of transceiver communication system based on the cascade uniform fiber Bragg grating devices
- A novel connected structure of all-optical high speed and ultra-compact photonic crystal OR logic gate
- All-optical simultaneous XOR-AND operation using 1-D periodic nonlinear material
- Implementation of frequency encoded all optical reversible logic
- All-optical frequency-encoded Toffoli gate
- Performance analysis of all optical 2 × 1 multiplexer in 2D photonic crystal structure
- Fibers
- Predication of negative dispersion for photonic crystal fiber using extreme learning machine
- Analysis of optical Kerr effect on effective core area and index of refraction in single-mode dispersion shifted and dispersion flattened fibers
- Novel add-drop filter based on serial and parallel photonic crystal ring resonators (PCRR)
- Integrated Optics
- Design and modeling of multi-operation bit-manipulator logic circuit using lithium niobate waveguides
- Networks
- Modeling and comparative analysis of all-class converged-coexistence NG-PON2 network for 5G-IoT-FTTX-services and application
- Efficient solution for WDM-PON with low value of BER using NRZ modulation
- Systems
- Efficient employment of VCSEL light sources in high speed dispersion compensation system
- Performance analysis of a hybrid FSO–FO link with smart decision making system under adverse weather conditions
- A review on mmWave based energy efficient RoF system for next generation mobile communication and broadband systems
- Fiber nonlinearity compensation using optical phase conjugation in dispersion-managed coherent transmission systems
- Hybrid WDM free space optical system using CSRZ and Rayleigh backscattering noise mitigation
- Differential coding scheme based FSO channel for optical coherent DP-16 QAM transceiver systems
- Performance analysis of free space optical system incorporating circular polarization shift keying and mode division multiplexing
- Filter bank multi-carrier review article
- Investigations of wavelength division multiplexing-orthogonal frequency division multiplexing (WDM-OFDM) system with 50 Gb/s optical access
- FSO performance analysis of a metro city in different atmospheric conditions
- Underwater video transmission with video enhancement using reduce hazing algorithm
- Theory
- SLM based Circular (6, 2) mapping scheme with improved SER performance for PAPR reduction in OCDM without side information
- Modeling and spectral analysis of high speed optical fiber communication with orthogonal frequency division multiplexing
- Optical SNR estimation using machine learning