Evaluation of WCP-COQAM, GFDM-OQAM and FBMC-OQAM for industrial wireless communications with Cognitive Radio

The main challenges for current industrial wireless solutions are the stringent real-time requirements of industrial automation applications and the harsh propagation channel conditions in this kind of scenarios. Most of the current industrial wireless communications are based on existing standards like IEEE 802.11, IEEE 802.15.1 or IEEE 802.15.4 and additionally proprietary protocol extensions are applied over them. These communication systems cover a wide range of industrial applications but they lack robustness when it comes to tight real-time requirements for factory automation. Hence, new schemes for the physical layer, along with new media access techniques, for industrial wireless communications must be proposed. Among the upcoming technologies, modulation candidates for 5G and cognitive radio might be promising solutions. In this article we analyse FBMC-OQAM, GFDM-OQAM and WCP-COQAM modulation candidates for 5G in terms of bit error rate, power spectral density and spectral efficiency over highly dispersive channels. From this analysis, on the one hand, we assess the suitability of these modulation systems for industrial wireless communications based on cognitive radio. On the other hand, we provide additional details about how windowing affects the protection against highly dispersive multipath channels and the spectral efficiency in WCP-COQAM.

[1]  Pierre Siohan,et al.  Multi-carrier modulation analysis and WCP-COQAM proposal , 2014, EURASIP Journal on Advances in Signal Processing.

[2]  Pierre Siohan,et al.  Major 5G Waveform Candidates: Overview and Comparison , 2016 .

[3]  Jerome Louveaux,et al.  An enhanced MMSE per subchannel equalizer for highly frequency selective channels for FBMC/OQAM systems , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[4]  Henrik Klessig,et al.  Requirements and current solutions of wireless communication in industrial automation , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).

[5]  Franoise Simonot-Lion,et al.  Guest Editorial Special Section on Communication in Automation , 2009 .

[6]  Inaki Val,et al.  Dynamic Spectrum Access Integrated in a Wideband Cognitive RF-Ethernet Bridge for Industrial Control Applications , 2016, J. Signal Process. Syst..

[7]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[8]  Petar Popovski,et al.  Ultra-reliable communication in 5G wireless systems , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[9]  Wei Liang,et al.  SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks , 2016, IEEE Access.

[10]  Yixin Chen,et al.  Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems , 2016, Proceedings of the IEEE.

[11]  Inaki Val,et al.  Evaluation of cognitive radio for mission-critical and time-critical WSAN in industrial environments under interference , 2015, 2015 IEEE World Conference on Factory Communication Systems (WFCS).