FBMC/OQAM Transceiver for Future Wireless Communication Systems: Inherent Potentials, Recent Advances, Research Challenges

The applications and services envisioned for the sixth Generation (6G) Internet of Things (IoT) communication systems will place different requirements on the system design. The current 5G waveform, Orthogonal Frequency Division Multiplexing (OFDM), suffers from a list of drawbacks that questions its suitability and ability to fulfill these prerequisites. Filtered multi-carrier waveforms provide viable alternatives for future mobile networks. Based on the best recent advances including contributions by the authors, this work provides a comprehensive assessment of the current status and future challenges related to the design of a next-generation Filter Bank Multi-Carrier/Offset Quadrature Amplitude Modulation (FBMC/OQAM) transceiver. We start by showing how the next-generation FBMC/OQAM waveform can overcome the drawbacks of OFDM. Furthermore, we highlight the advantages and possibilities of extending the next-generation FBMC/OQAM waveform for massive Multiple-Input-Multiple-Output (mMIMO) in well-identified 6G-IoT scenarios. Results show that the next-generation FBMC/OQAM receivers associated with short prototype filters can unleash appealing properties for 6G-IoT applications. Considered a cornerstone for grant-free spectrum and massive access, asynchronous communications are shown to be achievable. Furthermore, a largely improved robustness is observed compared to OFDM under different channel impairments such as carrier frequency offsets, timing offsets, and multipath channels. Compared to the original FBMC/OQAM associated with long filters, this next-generation transceiver achieves a reduction in complexity down to a comparable level to OFDM. Finally, open research opportunities and challenges for the next-generation FBMC/OQAM waveform are discussed.

[1]  Z. Kollár,et al.  Analysis of quantization noise in FBMC transmitters , 2022, Digit. Signal Process..

[2]  A. Baghdadi,et al.  Overlap-Save FBMC receivers for massive MIMO systems under channel impairments , 2022, 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).

[3]  Ridha Bouallegue,et al.  OQAM-FBMC Based Radar Sensing and Wireless Communication in V2V Context , 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

[4]  Yonina C. Eldar,et al.  Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond , 2021, IEEE Journal on Selected Areas in Communications.

[5]  H. Vincent Poor,et al.  6G Internet of Things: A Comprehensive Survey , 2021, IEEE Internet of Things Journal.

[6]  Athina P. Petropulu,et al.  Towards Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication and Security , 2021, 2107.07735.

[7]  Xiaojun Jing,et al.  Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges , 2021, IEEE Network.

[8]  Victor C. M. Leung,et al.  Enabling Massive IoT Toward 6G: A Comprehensive Survey , 2021, IEEE Internet of Things Journal.

[9]  H. Poor,et al.  A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning , 2021, Proceedings of the IEEE.

[10]  Rostom Zakaria,et al.  Short Prototype Filter Design for OQAM-FBMC Modulation , 2020, IEEE Transactions on Vehicular Technology.

[11]  Amer Baghdadi,et al.  Overlap-Save FBMC Receivers , 2020, IEEE Transactions on Wireless Communications.

[12]  Sameer Qazi,et al.  Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios , 2020, IEEE Access.

[13]  Ioannis Tomkos,et al.  Toward the 6G Network Era: Opportunities and Challenges , 2020, IT Professional.

[14]  Diego Passos,et al.  Asynchronous Radio Duty Cycling for Green IoT: State of the Art and Future Perspectives , 2019, IEEE Communications Magazine.

[15]  Shaoqian Li,et al.  6G Wireless Communications: Vision and Potential Techniques , 2019, IEEE Network.

[16]  Erik G. Larsson,et al.  Massive MIMO for Internet of Things (IoT) Connectivity , 2019, Phys. Commun..

[17]  Walid Saad,et al.  A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems , 2019, IEEE Network.

[18]  Mehdi Bennis,et al.  A Speculative Study on 6G , 2019, IEEE Wireless Communications.

[19]  Klaus David,et al.  6G Vision and Requirements: Is There Any Need for Beyond 5G? , 2018, IEEE Vehicular Technology Magazine.

[20]  François Leduc-Primeau,et al.  A Block FBMC Receiver Designed for Short Filters , 2018, 2018 IEEE International Conference on Communications (ICC).

[21]  Erik G. Ström,et al.  Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks , 2018, IEEE Network.

[22]  François Horlin,et al.  Performance Analysis of Linear Receivers for Uplink Massive MIMO FBMC-OQAM Systems , 2018, IEEE Transactions on Signal Processing.

[23]  Gilberto Berardinelli,et al.  System Level Analysis of Uplink Grant-Free Transmission for URLLC , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

[24]  Yves Louët,et al.  On the Road to 5G: Comparative Study of Physical Layer in MTC Context , 2017, IEEE Access.

[25]  Inaki Val,et al.  Evaluation of 5G Modulation Candidates WCP-COQAM, GFDM-OQAM, and FBMC-OQAM in Low-Band Highly Dispersive Wireless Channels , 2017, J. Comput. Networks Commun..

[26]  Amer Baghdadi,et al.  Design and Evaluation of a Novel Short Prototype Filter for FBMC/OQAM Modulation , 2017, IEEE Access.

[27]  Byungju Lim,et al.  SIR Analysis of OFDM and GFDM Waveforms With Timing Offset, CFO, and Phase Noise , 2017, IEEE Transactions on Wireless Communications.

[28]  Behrouz Farhang-Boroujeny,et al.  Filter Bank Multicarrier in Massive MIMO: Analysis and Channel Equalization , 2017, IEEE Transactions on Signal Processing.

[29]  Markus Rupp,et al.  Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications , 2017, IEEE Journal on Selected Areas in Communications.

[30]  Tao Jiang,et al.  Improving Spectral Efficiency of FBMC-OQAM Through Virtual Symbols , 2017, IEEE Transactions on Wireless Communications.

[31]  Bernd Holfeld,et al.  Impact of Waveforms on Coexistence of Mixed Numerologies in 5G URLLC Networks , 2017, WSA.

[32]  Lei Zhang,et al.  Efficient Implementation of Filter Bank Multicarrier Systems Using Circular Fast Convolution , 2017, IEEE Access.

[33]  Rahim Tafazolli,et al.  Analysis of Candidate Waveforms for 5G Cellular Systems , 2016 .

[34]  Xi Zhang,et al.  On the Waveform for 5G , 2016, IEEE Communications Magazine.

[35]  Yeo Hun Yun,et al.  Introduction to QAM-FBMC: From Waveform Optimization to System Design , 2016, IEEE Communications Magazine.

[36]  Linda Doyle,et al.  Prototype filter design for FBMC in massive MIMO channels , 2016, 2017 IEEE International Conference on Communications (ICC).

[37]  Mario Tanda,et al.  Filter bank multicarrier with PAM modulation for future wireless systems , 2016, Signal Process..

[38]  A. R. Khedkar,et al.  Estimation and reduction of CFO in OFDM system , 2015, 2015 International Conference on Information Processing (ICIP).

[39]  Christoph Studer,et al.  Linear large-scale MIMO data detection for 5G multi-carrier waveform candidates , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[40]  Tao Jiang,et al.  Tail shortening by virtual symbols in FBMC-OQAM signals , 2015, 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE).

[41]  Linda Doyle,et al.  Frequency spreading equalization in multicarrier massive MIMO , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[42]  D. Mattera,et al.  Analysis of an FBMC/OQAM scheme for asynchronous access in wireless communications , 2015, EURASIP J. Adv. Signal Process..

[43]  Pierre Siohan,et al.  Impact of time and carrier frequency offsets on the FBMC/OQAM modulation scheme , 2014, Signal Process..

[44]  Dominique Noguet,et al.  A flexible FS-FBMC receiver for dynamic access in the TVWS , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[45]  R. M. A. P. Rajatheva,et al.  FBMC-based air interface for 5G mobile: Challenges and proposed solutions , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[46]  Behrouz Farhang-Boroujeny,et al.  Filter Bank Multicarrier for Massive MIMO , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[47]  Maurice G. Bellanger,et al.  FS-FBMC: A flexible robust scheme for efficient multicarrier broadband wireless access , 2012, 2012 IEEE Globecom Workshops.

[48]  Daniel Roviras,et al.  On the impact of the prototype filter on FBMC sensitivity to time asynchronism , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[49]  Maurice G. Bellanger,et al.  FS-FBMC: An alternative scheme for filter bank based multicarrier transmission , 2012, 2012 5th International Symposium on Communications, Control and Signal Processing.

[50]  Rostom Zakaria,et al.  A Novel Filter-Bank Multicarrier Scheme to Mitigate the Intrinsic Interference: Application to MIMO Systems , 2012, IEEE Transactions on Wireless Communications.

[51]  P. Siohan,et al.  FBMC/OQAM Modulators with Half Complexity , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[52]  Viktor Öwall,et al.  Complexity analysis of IOTA filter architectures in faster-than-Nyquist multicarrier systems , 2011, 2011 NORCHIP.

[53]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[54]  Maurice G. Bellanger,et al.  Efficiency of Filter Bank Multicarrier Techniques in Burst Radio Transmission , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[55]  Markku Renfors,et al.  A block-Alamouti scheme for filter bank based multicarrier transmission , 2010, 2010 European Wireless Conference (EW).

[56]  Pierre Siohan,et al.  Iterative scattered pilot channel estimation in OFDM/OQAM , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[57]  Haijian Zhang,et al.  Spectral Efficiency Analysis in OFDM and OFDM/OQAM Based Cognitive Radio Networks , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[58]  Maryline Hélard,et al.  Spatial Data Multiplexing Over OFDM/OQAM Modulations , 2007, 2007 IEEE International Conference on Communications.

[59]  Pierre Siohan,et al.  Design techniques for orthogonal Modulated filterbanks based on a compact representation , 2004, IEEE Transactions on Signal Processing.

[60]  R. Bäuml,et al.  Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping , 1996 .

[61]  Henrique S. Malvar Modulated QMF filter banks with perfect reconstruction , 1990 .

[62]  B. Hirosaki,et al.  An Orthogonally Multiplexed QAM System Using the Discrete Fourier Transform , 1981, IEEE Trans. Commun..

[63]  Kwonhue Choi,et al.  Low PAPR FBMC , 2018, IEEE Transactions on Wireless Communications.

[64]  Driss Aboutajdine,et al.  On the Impact of Prototype Filter Length on the PAPR Reduction of FBMC Signals , 2014 .

[65]  B. Floch,et al.  Coded orthogonal frequency division multiplex , 1995 .