Interference-Free Pilots Insertion for MIMO-GFDM Channel Estimation

Generalized Frequency Division Multiplexing (GFDM) is a flexible non-orthogonal waveform. Due to its flexibility it can be served as a framework to emulate diverse multi-carrier waveforms including orthogonal frequency division multiplexing (OFDM) and single-carrier frequency domain equalization (SC- FDE). Nevertheless, inter-symbol- and inter-carrier- interference may arise in GFDM if the filter roll-off factor is larger than zero. In multiple-input multiple-output (MIMO) scenarios, also inter-antenna- interference further challenges the receiver design. In this paper, we focus on pilot-aided channel estimation for GFDM. In contrast to our prior works, we propose a technique to insert the pilot symbols in a manner such that they are orthogonal to the data symbols in the frequency domain. Based on this design, frequency-domain channel estimation algorithms initially developed for OFDM become straightforwardly applicable. We also examine the impact of such pilot design on the signal properties, including power spectral density (PSD) and peak-to- average-power ratio (PAPR). At the end of the paper, the performance of a MIMO-GFDM system is investigated and compared with the conventional MIMO-OFDM systems.

[1]  Gerhard Fettweis,et al.  Precoded GFDM transceiver with low complexity time domain processing , 2016, EURASIP J. Wirel. Commun. Netw..

[2]  Gerhard Fettweis,et al.  Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks , 2014, IEEE Transactions on Communications.

[3]  Gerhard P. Fettweis,et al.  The Tactile Internet: Applications and Challenges , 2014, IEEE Vehicular Technology Magazine.

[4]  Gerhard Fettweis,et al.  Low Complexity GFDM Receiver Based on Sparse Frequency Domain Processing , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[5]  Giorgio Taricco,et al.  Optimum Receiver Design for Correlated Rician Fading MIMO Channels with Pilot-Aided Detection , 2007, IEEE Journal on Selected Areas in Communications.

[6]  Gerhard Fettweis,et al.  Theoretical Analysis and CRLB Evaluation for Pilot-Aided Channel Estimation in GFDM , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[7]  A.B. Gershman,et al.  MIMO channel estimation: optimal training and tradeoffs between estimation techniques , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[8]  Dan Zhang,et al.  Iterative Detection using MMSE-PIC Demapping for MIMO-GFDM Systems , 2016 .

[9]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[10]  Gerhard Fettweis,et al.  Expectation Propagation for Near-Optimum Detection of MIMO-GFDM Signals , 2016, IEEE Transactions on Wireless Communications.

[11]  Usa Vilaipornsawai,et al.  Scattered-pilot channel estimation for GFDM , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[12]  Sinem Coleri Ergen,et al.  Channel estimation techniques based on pilot arrangement in OFDM systems , 2002, IEEE Trans. Broadcast..

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

[14]  Gerhard Fettweis,et al.  Implementation of a 2 by 2 MIMO-GFDM transceiver for robust 5G networks , 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).

[15]  Gerhard Fettweis,et al.  Widely Linear Estimation for Space-Time-Coded GFDM in Low-Latency Applications , 2015, IEEE Transactions on Communications.

[16]  Gerhard Fettweis,et al.  A Study of Pilot-Aided Channel Estimation in MIMO-GFDM Systems , 2016, WSA.