Theoretical analysis of non-linear quantization of broadband channels

Multi-user multi-antenna wireless communications require the knowledge of channel state information (CSI) in order to cancel or mitigate interference between users. The knowledge of this quantization error due to the channel quantization is of extreme importance to theoretically evaluate and improve the performance of limited feedback communications. In this paper we present theoretical expressions for the statistical characterization of the quantization error obtained when a broadband multicarrier channel is quantized in the frequency domain, taking advantage of Gaussian channel behavior for multipath channels. The derived expression is valid for any type of non-linear quantization, and it is validated through Monte Carlo simulations for an interpolated uniform and non-uniform quantization strategies, under different scenarios.

[1]  Rui Dinis,et al.  Interpolated UQ vs RVQ as Limited Feedback for Broadband Channels , 2015 .

[2]  Luc Vandendorpe,et al.  Robust Transceiver Optimization for Downlink Multiuser MIMO Systems , 2011, IEEE Transactions on Signal Processing.

[3]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[4]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[5]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.

[6]  Robert W. Heath,et al.  The practical challenges of interference alignment , 2012, IEEE Wireless Communications.

[7]  Wai C. Chu,et al.  Speech Coding Algorithms , 2003 .

[8]  David James Love,et al.  MIMO nullforming with RVQ limited feedback and channel estimation errors , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[9]  A. Paulraj,et al.  A simple scheme for transmit diversity using partial channel feedback , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[10]  Didier Le Ruyet,et al.  Adaptive limited feedback links for cooperative multi-antenna multicell networks , 2014, EURASIP J. Wirel. Commun. Netw..

[11]  Joel Max,et al.  Quantizing for minimum distortion , 1960, IRE Trans. Inf. Theory.

[12]  Mahesh K. Varanasi,et al.  Interference Alignment Under Limited Feedback for MIMO Interference Channels , 2013, IEEE Transactions on Signal Processing.

[13]  Rui Dinis,et al.  Performance Evaluation of Quantization Effects on Multicarrier Modulated Signals , 2007, IEEE Transactions on Vehicular Technology.

[14]  Rui Dinis,et al.  On the Accuracy of the Gaussian Approximation for the Evaluation of Nonlinear Effects in OFDM Signals , 2012, IEEE Trans. Commun..

[16]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[17]  Gregory W. Wornell,et al.  Efficient use of side information in multiple-antenna data transmission over fading channels , 1998, IEEE J. Sel. Areas Commun..

[18]  Saralees Nadarajah,et al.  An Expression for the Average Quantization Error , 2009, Wirel. Pers. Commun..

[19]  Robert W. Heath,et al.  Coordinated Beamforming for the Multiuser MIMO Broadcast Channel With Limited Feedforward , 2008, IEEE Transactions on Signal Processing.

[20]  Josef A. Nossek,et al.  Scalar quantizer based feedback of the Channel Direction Information in MU-MISO systems , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[21]  Nihar Jindal A Feedback Reduction Technique for MIMO Broadcast Channels , 2006, 2006 IEEE International Symposium on Information Theory.

[22]  R. Heath,et al.  Limited feedback unitary precoding for spatial multiplexing systems , 2005, IEEE Transactions on Information Theory.