Channel estimation and optimal pilot signals for universal filtered multi-carrier (UFMC) systems

We propose channel estimation algorithms and pilot signal optimization for the universal filtered multi-carrier (UFMC) system based on the comb-type pilot pattern. By considering the least square linear interpolation (LSLI), discrete Fourier transform (DFT), minimum mean square error (MMSE) and relaxed MMSE (RMMSE) channel estimators, we formulate the pilot signals optimization problem by minimizing the estimation MSE subject to the power constraint on pilot tones. The closed-form optimal solutions and minimum MSE are derived for LSLI, DFT, MMSE and RMMSE estimators.

[1]  Xi Zhang,et al.  Filtered-OFDM - Enabler for Flexible Waveform in the 5th Generation Cellular Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[2]  Frank Schaich,et al.  Pilot-Aided Channel Estimation for Universal Filtered Multi-Carrier , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[3]  Muhammad Ali Imran,et al.  Enabling Massive IoT in 5G and Beyond Systems: PHY Radio Frame Design Considerations , 2016, IEEE Access.

[4]  Alex B. Gershman,et al.  Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals , 2006, IEEE Transactions on Signal Processing.

[5]  Rahim Tafazolli,et al.  Subband Filtered Multi-Carrier Systems for Multi-Service Wireless Communications , 2017, IEEE Transactions on Wireless Communications.

[6]  Andrew C. Singer,et al.  Pilot-Aided OFDM Channel Estimation in the Presence of the Guard Band , 2007, IEEE Transactions on Communications.

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

[8]  Dirk T. M. Slock,et al.  Performance analysis of general pilot-aided linear channel estimation in LTE OFDMA systems with application to simplified MMSE schemes , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Rahim Tafazolli,et al.  Multi-Service System: An Enabler of Flexible 5G Air Interface , 2017, IEEE Communications Magazine.