Block-filtered OFDM: A novel waveform for future wireless technologies

The forthcoming fifth generation of mobile technology (5G) will be designed to satisfy the demands of 2020 and beyond. 5G does not just promise a huge increase in terms of data rates and capacity but it also targets new kind of use cases like Internet of Things or vehicular communications. The currently deployed 4G technology does not provide enough network capabilities to support this wide diversity of applications which has motivated the research on alternative waveforms. In this article, a new promising modulation scheme is introduced: Block-Filtered OFDM (BF-OFDM). The proposed waveform demonstrates an excellent frequency localization and can straightforwardly be integrated with the OFDM know-how and LTE principles. Besides, the proposed waveform relies on a receiver similar to the one used in CP-OFDM. BF-OFDM systems are also scalable, which is an interesting feature in order to steer the network capabilities on demand.

[1]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[2]  Rui Yang,et al.  Resource block Filtered-OFDM for future spectrally agile and power efficient systems , 2014, Phys. Commun..

[3]  Jean-Baptiste Dore,et al.  5G Cellular Networks with Relaxed Synchronization: Waveform Comparison and New Results , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[4]  Dimitri Ktenas,et al.  Block-filtered OFDM: A new promising waveform for multi-service scenarios , 2017, 2017 IEEE International Conference on Communications (ICC).

[5]  T. Strohmer,et al.  Gabor Analysis and Algorithms: Theory and Applications , 1997 .

[6]  R. Chang Synthesis of band-limited orthogonal signals for multichannel data transmission , 1966 .

[7]  Dimitri Ktenas,et al.  Channel estimation techniques for 5G cellular networks: FBMC and multiuser asynchronous fragmented spectrum scenario , 2015, Trans. Emerg. Telecommun. Technol..

[8]  Juha Yli-Kaakinen,et al.  Analysis and Design of Efficient and Flexible Fast-Convolution Based Multirate Filter Banks , 2014, IEEE Transactions on Signal Processing.

[9]  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.

[10]  Rostom Zakaria,et al.  A novel FBMC scheme for Spatial Multiplexing with Maximum Likelihood detection , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[11]  Gerhard Fettweis,et al.  A Reduced Complexity Time-Domain Transmitter for UF-OFDM , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[12]  Frank Schaich,et al.  5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications , 2014, IEEE Communications Magazine.

[13]  Rostom Zakaria,et al.  Transmitter and receiver design for inherent interference cancellation in MIMO filter-bank based multicarrier systems , 2012 .

[14]  Xavier Mestre,et al.  The 5G candidate waveform race: a comparison of complexity and performance , 2017, EURASIP Journal on Wireless Communications and Networking.

[15]  Klaus Moessner,et al.  Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook , 2016, IEEE Communications Surveys & Tutorials.

[16]  Frank Schaich,et al.  Filter Optimization for Carrier-Frequency- and Timing-Offset in Universal Filtered Multi-Carrier Systems , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[17]  Pierre Siohan,et al.  The Alamouti Scheme with CDMA-OFDM/OQAM , 2010, EURASIP J. Adv. Signal Process..

[18]  Frank Schaich,et al.  Universal-filtered multi-carrier technique for wireless systems beyond LTE , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).