Exact BER analysis for QAM transmission on arbitrary fading channels with maximal-ratio combining and imperfect channel estimation

In this contribution, we investigate the effect of imperfect channel estimation on the bit error rate (BER) performance of uncoded quadrature amplitude modulation (QAM) with maximal-ratio combining (MRC) multichannel reception. The propagation channels from the transmitter to each of the Nr receive antennas are assumed to be affected by (possibly correlated) flat block fading with an arbitrary fading distribution. The MRC receiver makes use of estimated channel coefficients, obtained from known pilot symbols sent among the data. The resulting average BER for QAM can easily be written as an expectation over 4Nr random variables, but the computing time needed for its numerical evaluation increases exponentially with Nr. We point out that the BER can be expressed in terms of the distribution of the norm of the channel vector, rather than the joint distribution of all channel coefficients. This allows to reduce the BER expression to an expectation over only 4 random variables, irrespective of the number of receive antennas. Moreover, we show that for real-valued constellations and/or real-valued channels, the BER expression reduces to an expectation over less than 4 variables. For practical BER levels, the numerical evaluation of the BER is much less time-consuming than a straightforward computer simulation. The presented BER expression is useful not only when the fading distribution is given in closed form, but also when only experimental data (e.g. a histogram) on the fading are available.

[1]  Mohamed-Slim Alouini,et al.  A unified approach for calculating error rates of linearly modulated signals over generalized fading channels , 1998, IEEE Trans. Commun..

[2]  Rong Li,et al.  Averages of the product of two Gaussian Q-functions over fading statistics and applications , 2007, IEEE Communications Letters.

[3]  Chintha Tellambura,et al.  Exact BER analysis of an arbitrary square/rectangular QAM for MRC diversity with ICE in nonidentical Rayleigh fading channels , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[4]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[5]  Robert Schober,et al.  Exact BER for M-QAM with MRC and Imperfect Channel Estimation in Rician Fading Channels , 2007, IEEE Transactions on Wireless Communications.

[6]  P. Bello,et al.  Predetection Diversity Combining with Selectively Fading Channels , 1962 .

[7]  John G. Proakis,et al.  Digital Communications , 1983 .

[8]  Yao Ma,et al.  Effect of Channel Estimation Errors on $M$ -QAM With MRC and EGC in Nakagami Fading Channels , 2007, IEEE Transactions on Vehicular Technology.

[9]  M. Gans The Effect of Gaussian Error in Maximal Ratio Combiners , 1971 .

[10]  D. G. Brennan,et al.  Linear diversity combining techniques , 2003 .

[11]  M. Evans Statistical Distributions , 2000 .

[12]  Moe Z. Win,et al.  Antenna subset diversity with non-ideal channel estimation , 2008, IEEE Transactions on Wireless Communications.

[13]  M. Win,et al.  Diversity with practical channel estimation , 2005, IEEE Transactions on Wireless Communications.