Quantum-Inspired FBMC Transceivers for 6G: Potential Applications, Fundamentals, Opportunities, Advantages, Challenges, Future Trends
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The forthcoming sixth-generation (6G) networks require transformative improvements in spectral efficiency, latency, and energy performance. This review highlights the novelty of integrating quantum-inspired approaches with Filter Bank Multicarrier (FBMC) transceivers, offering a new paradigm for 6G communication. The fusion of quantum-inspired algorithms with FBMC enables advanced interference management, improved robustness, and adaptability for diverse applications such as intelligent transportation, immersive extended reality, and ultra-reliable low-latency communication. Key challenges, including hardware complexity, scalability, and algorithmic optimization, are critically examined. The article further outlines future research directions, emphasizing how this integration can shape efficient, intelligent, and resilient 6G transceivers.
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[1] M. Attaran, “The impact of 5G on the evolution of intelligent automation and industry digitization,” J. Ambient Intell. Humaniz. Comput., vol. 14, no. 5, pp. 5977–5993, 2023.
[2] P. Bhide et al., “Review on 6G communication and its architecture, technologies included, challenges, security challenges and requirements, applications, with respect to AI domain,” IET Quantum Commun., vol. 6, no. 1, Art. no. e12114, 2025.
[3] N. Saxena, E. Rastogi, and A. Rastogi, “6G use cases, requirements, and metrics,” in 6G Mobile Wireless Networks, Y. Wu et al., Eds. Cham, Switzerland: Springer, 2021.
[4] C. M. Andras, G. Barb, and M. Otesteanu, “Comparative analysis of beamforming techniques and beam management in 5G communication systems,” Sensors, vol. 25, no. 15, Art. no. 4619, 2025.
[5] K. K. Vaigandla, “Communication technologies and challenges on 6G networks for the Internet: Internet of Things (IoT) based analysis,” in Proc. 2022 2nd Int. Conf. Innovative Practices Technol. Manage. (ICIPTM), vol. 2, pp. 27–31, 2022.
[6] S. Dang et al., “What should 6G be?,” Nature Electronics, vol. 3, no. 1, pp. 20–29, 2020.
[7] K. K. Vaigandla et al., “A survey on wireless communications: 6G and 7G,” Int. J. Sci., Technol. Manage., vol. 2, no. 6, pp. 2018–2025, 2021.
[8] S. H. A. Kazmi et al., “Security concepts in emerging 6G communication: Threats, countermeasures, authentication techniques and research directions,” Symmetry, vol. 15, no. 6, Art. no. 1147, 2023, doi: 10.3390/sym15061147.
[9] H. Viswanathan and P. E. Mogensen, “Communications in the 6G era,” IEEE Access, vol. 8, pp. 57063–57074, 2020.
[10] C.-X. Wang et al., “Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios,” IEEE Trans. Veh. Technol., vol. 71, no. 9, pp. 9159–9173, 2022.
[11] R. Dilli, “Design and feasibility verification of 6G wireless communication systems with state of the art technologies,” Int. J. Wireless Inf. Netw., vol. 29, pp. 93–117, 2022, doi: 10.1007/s10776-021-00546-3.
[12] Z. Qadir et al., “Towards 6G Internet of Things: Recent advances, use cases, and open challenges,” ICT Express, vol. 9, no. 3, pp. 296–312, 2023.
[13] B. Ji et al., “Several key technologies for 6G: Challenges and opportunities,” IEEE Commun. Standards Mag., vol. 5, no. 2, pp. 44–51, 2021.
[14] N. Gisin and R. Thew, “Quantum communication,” Nature Photon., vol. 1, no. 3, pp. 165–171, 2007.
[15] P. Porambage et al., “The roadmap to 6G security and privacy,” IEEE Open J. Commun. Soc., vol. 2, pp. 1094–1122, 2021.
[16] I. B. Djordjevic, Quantum Communication, Quantum Networks, and Quantum Sensing. Cambridge, MA, USA: Academic Press, 2022.
[17] N. A. Alshaer and T. I. Ismail, “AI-driven quantum technology for enhanced 6G networks: Opportunities, challenges, and future directions,” J. Laser Sci. Appl., vol. 1, no. 1, pp. 21–30, 2024.
[18] M. Z. Ali et al., “Quantum for 6G communication: A perspective,” IET Quantum Commun., vol. 4, no. 3, pp. 112–124, 2023.
[19] C. Wang and A. Rahman, “Quantum-enabled 6G wireless networks: Opportunities and challenges,” IEEE Wireless Commun., vol. 29, no. 1, pp. 58–69, 2022.
[20] F. Muheidat, K. Dajani, and A. T. Lo’ai, “Security concerns for 5G/6G mobile network technology and quantum communication,” Procedia Comput. Sci., vol. 203, pp. 32–40, 2022.
[21] N. Sivapriya et al., “Evaluation of PAPR, PSD, spectral efficiency, BER and SNR performance of multi-carrier modulation schemes for 5G and beyond,” SSRG Int. J. Electr. Electron. Eng., vol. 10, no. 11, pp. 100–114, 2023.
[22] N. Sivapriya et al., “Evaluation of FBMC/OQAM performance using hybrid MGDFT and PTS approaches in terms of BER, spectral efficiency, and PAPR,” Int. Res. J. Multidisciplinary Technovation, vol. 7, no. 3, pp. 148–164, 2025.
[23] K. K. Vaigandla, “A comprehensive review on multi-carrier modulation schemes, 5G and various PAPR minimization techniques based on machine learning,” J. Sensors, IoT Health Sci., vol. 3, no. 1, pp. 20–45, 2025.
[24] V. Manohar et al., “Discrete elephant herding optimization algorithm for analysis of PAPR, BER and spectral efficiency in FBMC/OQAM system,” Int. Res. J. Multidisciplinary Technovation, vol. 6, no. 5, pp. 94–109, 2024.
[25] N. Al Harthi, Z. Zhang, D. Kim, and S. Choi, “Peak-to-average power ratio reduction method based on partial transmit sequence and discrete Fourier transform spreading,” Electronics, vol. 10, no. 6, Art. no. 642, 2021.
[26] K. K. Vaigandla and J. Benita, “Selective mapping scheme based on modified forest optimization algorithm for PAPR reduction in FBMC system,” J. Intell. Fuzzy Syst., vol. 45, no. 4, pp. 5367–5381, 2023.
[27] A. Lalitha et al., “Enhancing wireless communication: A comparative analysis of FBMC and OFDM with performance evaluation.”
[28] M. O. Butt et al., “Quantum-inspired resource optimization for 6G networks: A survey,” IEEE Commun. Surveys Tuts., 2024.
[29] Y. Vivek, V. Ravi, and P. R. Krishna, “Quantum-inspired evolutionary algorithms for feature subset selection: A comprehensive survey,” Quantum Inf. Process., vol. 24, Art. no. 196, 2025.
[30] S. Tu et al., “A novel quantum inspired particle swarm optimization algorithm for electromagnetic applications,” IEEE Access, vol. 8, pp. 21909–21916, 2020.
[31] T. Menneer and A. Narayanan, “Quantum-inspired neural networks,” in Proc. Neural Information Processing Systems, vol. 95, pp. 27–30, Nov. 1995.
[32] M. Suriya, “Machine learning and quantum computing for 5G/6G communication networks—A survey,” Int. J. Intell. Netw., vol. 3, pp. 197–203, 2022.
[33] S. U. Jamil et al., “Resource allocation and task off-loading for 6G enabled smart edge environments,” IEEE Access, vol. 10, pp. 93542–93563, 2022.
[34] R. Bruno, A. Masaracchia, and A. Passarella, “Robust adaptive modulation and coding (AMC) selection in LTE systems using reinforcement learning,” in Proc. IEEE 80th Veh. Technol. Conf. (VTC-Fall), pp. 1–6, Sep. 2014.
[35] S. R. Rouzegar and U. Spagnolini, “Diffusive MIMO molecular communications: Channel estimation, equalization, and detection,” IEEE Trans. Commun., vol. 67, no. 7, pp. 4872–4884, 2019.
[36] A. Jain, “Energy-efficient signal processing architectures for IoT networks design,” in Proc. Int. Conf. Emerging Technologies and Innovation for Sustainability (EmergIN), pp. 362–367, Dec. 2024.
[37] P. S. M. Tripathi et al., “Dynamic spectrum access and cognitive radio,” in Proc. 2nd Int. Conf. Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE), pp. 1–5, Feb. 2011.
[38] S. Mondal, M. R. Laskar, and A. K. Dutta, “ML criterion based signal detection of a MIMO-OFDM system using quantum and semi-quantum assisted modified DHA/BBHT search algorithm,” IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1688–1698, 2021.
[39] M. A. Siddiqi, H. Yu, and J. Joung, “5G ultra-reliable low-latency communication implementation challenges and operational issues with IoT devices,” Electronics, vol. 8, no. 9, Art. no. 981, 2019.