Conference Paper

Cut-off rate and signal design for the Rayleigh fading space-timechannel

Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
DOI: 10.1109/SAM.2000.877991 Conference: Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Source: IEEE Xplore

ABSTRACT We consider the single-user computational cut-off-rate for the complex Rayleigh flat fading spatio-temporal channel under a peak power constraint. Determination of the cut-off rate requires maximization of an average error exponent over all possible space-time codeword probability distributions. This error exponent is monotone decreasing in a measure of dissimilarity between pairs of codeword matrices. For low SNR the dissimilarity function reduces to a trace norm of differences between outer products of pairs of codewords. We characterize the cut-off rate and the rate achieving constellation under different operating regimes depending on the number of transmit and receive antennas, the number of codewords in the constellation, and the received SNR

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    ABSTRACT: For multilevel-coded modulation, the cut-off rate of multiple antenna systems over frequency-flat, fast fading channels is derived. Following Wozencraft's approach, a closed-form expression for the cut-off rate is obtained as a function of energy ratio per dimension It is shown that the maximum value of cut-off rate increases linearly with the number of transmit antennas.
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    ABSTRACT: Constellation design for the noncoherent multi-input, multi-output (MIMO) block Rayleigh fading channel is considered. For general SNRs, starting from a given base unitary constellation of finite cardinality, and using the cutoff rate expression as the design criterion, we obtain input probabilities and per-antenna amplitudes for the constellation points via a global optimization formulation. Using the mutual information as a performance metric we obtain numerical results that show that the optimized constellations significantly outperform the base unitary designs from which they are obtained in the low-medium SNR regime, and indeed they also similarly outperform the mutual information achieved by isotropically distributed inputs for the continuous input channel (i.e., the so-called unitary space-time capacity (USTC)). At sufficiently high SNRs, the resulting mutual information coincides with that of the base unitary designs. Thus we have an optimum constellation design technique that works over the entire range of SNRs. The bit-energy/spectral-efficiency tradeoff of the optimized constellations are also obtained, and these provide valuable insights on modulation and coding, which are especially useful for wideband channels where the SNR per degree of freedom is low
    IEEE Transactions on Information Theory 01/2007; 53:1572-1584. DOI:10.1109/ISIT.2006.261744 · 2.65 Impact Factor
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    ABSTRACT: Reliable communication over the discrete-input/continuous-output noncoherent multiple-input multiple-output (MIMO) Rayleigh block-fading channel is considered when the signal-to-noise ratio (SNR) per degree of freedom is low. Two key problems are posed and solved to obtain the optimum discrete input. In both problems, the average and peak power per space-time slot of the input constellation are constrained. In the first one, the peak power to average power ratio (PPAPR) of the input constellation is held fixed, while in the second problem, the peak power is fixed independently of the average power. In the first PPAPR-constrained problem, the mutual information, which grows as O (SNR<sup>2</sup>), is maximized up to second order in SNR. In the second peak-constrained problem, where the mutual information behaves as O (SNR), the structure of constellations that are optimal up to first order, or equivalently, that minimize energy per bit, are explicitly characterized. Furthermore, among constellations that are first-order optimal, those that maximize the mutual information up to second order, or equivalently, the wideband slope, are characterized. In both PPAPR-constrained and peak-constrained problems, the optimal constellations are obtained in closed form as solutions to nonconvex optimizations, and interestingly, they are found to be identical. Due to its special structure, the common solution is referred to as space-time orthogonal rank one modulation, or STORM. In both problems, it is seen that STORM provides a sharp characterization of the behavior of noncoherent MIMO capacity.
    IEEE Transactions on Information Theory 03/2009; DOI:10.1109/TIT.2008.2009602 · 2.65 Impact Factor

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