Signaling constellations for fading channels

The performance of various coherent 8-ary and 16-ary modulations in additive white Gaussian noise (AWGN) and slowly fading channels are analyzed. New expressions for the exact symbol error rates (SER) in fading with diversity combining are derived for any two-dimensional signaling format having polygonal decision boundaries. Maximal ratio combining, equal gain combining, and selection combining are considered. The SER formulas obtained make it possible for the first time to optimize parameters of various constellations precisely and to determine,which constellation has the lowest probability of error. For example, a star constellation such as that specified in the CCITT V.29 standard can be improved by adjusting the amplitude ratios of the points in the constellation to save about 0.63 dB power in AWGN without sacrificing the phase error tolerance, while maintaining the same error rate. The sensitivity of each constellation to phase error is presented and comparisons are made. Six 8-ary signal sets and 11 16-ary signal sets are examined using the new symbol error probability formulas to determine best signal sets for fading channels.

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

[2]  Seymour Stein,et al.  Unified analysis of certain coherent and noncoherent binary communications systems , 1964, IEEE Trans. Inf. Theory.

[3]  Richard D. Gitlin,et al.  Optimization of Two-Dimensional Signal Constellations in the Presence of Gaussian Noise , 1974, IEEE Trans. Commun..

[4]  Xiaodai Dong,et al.  Error probabilities of two-dimensional M-ary signaling in fading , 1999, IEEE Trans. Commun..

[5]  Heinrich Meyr,et al.  On the error probability of linearly modulated signals on Rayleigh frequency-flat fading channels , 1990, IEEE Trans. Commun..

[6]  Norman C. Beaulieu,et al.  An infinite series for the computation of the complementary probability distribution function of a sum of independent random variables and its application to the sum of Rayleigh random variables , 1990, IEEE Trans. Commun..

[7]  C. Thomas,et al.  Digital Amplitude-Phase Keying with M-Ary Alphabets , 1974, IEEE Trans. Commun..

[8]  William Webb,et al.  Bandwidth efficient QAM schemes for Rayleigh fading channels , 1990 .

[9]  G. David Forney,et al.  Efficient Modulation for Band-Limited Channels , 1984, IEEE J. Sel. Areas Commun..

[10]  Norman C. Beaulieu,et al.  Microdiversity on Rician fading channels , 1994, IEEE Trans. Commun..

[11]  Mahrokh G. Shayesteh,et al.  On the error probability of linearly modulated signals on frequency-flat Ricean, Rayleigh, and AWGN channels , 1995, IEEE Trans. Commun..

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

[13]  S. O. Rice,et al.  Statistical properties of a sine wave plus random noise , 1948, Bell Syst. Tech. J..

[14]  Edward A. Lee,et al.  Digital communication (2. ed.) , 1994 .

[15]  Tjeng Thiang Tjhung,et al.  Error probability performance of L-branch diversity reception of MQAM in Rayleigh fading , 1998, IEEE Trans. Commun..

[16]  Seymour Stein,et al.  Fading Channel Issues in System Engineering , 1987, IEEE J. Sel. Areas Commun..

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

[18]  M. Nakagami Statistical Methods in Radio Wave Propaga-tion , 1960 .

[19]  A. Goldsmith,et al.  A unified approach for calculating error rates of linearly modulated signals over generalized fading channels , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[20]  J. Salz,et al.  Data transmission by combined AM and PM , 1971 .

[21]  Norman C. Beaulieu,et al.  Analysis of equal gain diversity on Nakagami fading channels , 1991, IEEE Trans. Commun..

[22]  I. M. Jacobs,et al.  Principles of Communication Engineering , 1965 .

[23]  J. Craig A new, simple and exact result for calculating the probability of error for two-dimensional signal constellations , 1991, MILCOM 91 - Conference record.