Data-Aided Noise Reduction for Long-Range Fading Prediction in Adaptive Modulation Systems

The long-range prediction (LRP) of fading signals enables adaptive transmission methods for rapidly varying mobile radio channels encountered in vehicular communications, but its performance is severely degraded by the additive noise and interference. A data-aided noise reduction (DANR) method is proposed to enhance the accuracy of fading prediction and to improve the spectral efficiency of adaptive modulation systems enabled by the LRP. The DANR includes an adaptive pilot transmission mechanism, robust noise reduction (NR), and decision-directed channel estimation. Due to improved prediction accuracy and low pilot rates, the DANR results in higher spectral efficiency than previously proposed NR techniques, which rely on oversampled pilots. It is also demonstrated that DANR-aided LRP increases the coding gain of adaptive trellis-coded modulation (ATCM). Finally, for low-to-medium signal-to-noise ratio (SNR) values, we show that LRP-enabled adaptive modulation performs better for realistic reflector configurations than for the conventional Jakes model (JM) data set.

[1]  Arne Svensson,et al.  Adaptive trellis-coded modulation over predicted flat fading channels , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[2]  Georgios B. Giannakis,et al.  Adaptive PSAM accounting for channel estimation and prediction errors , 2005, IEEE Transactions on Wireless Communications.

[3]  Hans D. Hallen,et al.  Long-range prediction of fading signals , 2000, IEEE Signal Process. Mag..

[4]  Andrea J. Goldsmith,et al.  Adaptive coded modulation for fading channels , 1998, IEEE Trans. Commun..

[5]  Tao Jia,et al.  Single and Multicarrier Adaptive Transmission Systems with Long-Range Prediction Aided by Noise Reduction , 2008 .

[6]  Alexandra Duel-Hallen,et al.  Improved long-range prediction with data-aided noise reduction for adaptive modulation systems , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[7]  Kareem E. Baddour,et al.  Improved Pilot-Assisted Prediction of Unknown Time-Selective Rayleigh Channels , 2006, 2006 IEEE International Conference on Communications.

[8]  Dennis Goeckel,et al.  Adaptive coding for time-varying channels using outdated fading estimates , 1999, IEEE Trans. Commun..

[9]  Riccardo Raheli,et al.  Per-Survivor Processing: a general approach to MLSE in uncertain environments , 1995, IEEE Trans. Commun..

[10]  A. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1996, Proceedings of Vehicular Technology Conference - VTC.

[11]  Gerald Matz,et al.  MMSE and adaptive prediction of time-varying channels for OFDM systems , 2005, IEEE Transactions on Wireless Communications.

[12]  T. Eyceoz,et al.  Performance Analysis of Long Range Prediction for Fast Fading Channels , 2002 .

[13]  A. Duel-Hallen,et al.  A physical model for wireless channels to provide insights for long range prediction , 2002, MILCOM 2002. Proceedings.

[14]  John M. Cioffi,et al.  Channel tracking for multiple input, single output systems using EM algorithm , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[15]  Alexandra Duel-Hallen,et al.  Fading Channel Prediction for Mobile Radio Adaptive Transmission Systems , 2007, Proceedings of the IEEE.

[16]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[17]  J. Cavers.  An analysis of pilot symbol assisted modulation for Rayleigh fading channels (mobile radio) , 1991 .

[18]  G. Ungerboeck,et al.  Trellis-coded modulation with redundant signal sets Part II: State of the art , 1987, IEEE Communications Magazine.

[19]  Georgios B. Giannakis,et al.  Adaptive Modulation for multiantenna transmissions with channel mean feedback , 2004, IEEE Transactions on Wireless Communications.

[20]  Georgios B. Giannakis,et al.  How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? , 2004, IEEE Transactions on Wireless Communications.

[21]  Torbjörn Ekman.  Prediction of Mobile Radio Channels : Modeling and Design , 2002 .

[22]  Kjell Jørgen Hole,et al.  Adaptive multidimensional coded modulation over flat fading channels , 2000, IEEE Journal on Selected Areas in Communications.