Fast Differential Unitary Space-Time Modulation Decoding for a MIMO Radio Channel
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A BICM-IDD scheme for non-coherent MIMO communication
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Design criterion and construction methods for partially coherent multiple antenna constellations
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On the capacity and energy efficiency of training-based transmissions over fading channels
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Information theoretic bounds for compound MIMO Gaussian channels
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The fading number of multiple-input multiple-output fading channels with memory
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Parallel Gaussian interference channels are not always separable
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Outage behavior of discrete memoryless channels under channel estimation errors
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What is the value of joint processing of pilots and data in block-fading channels?
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Practical signaling with vanishing pilot-energy for large noncoherent block-fading MIMO channels
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Analysis of 1-bit output noncoherent fading channels in the low SNR regime
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Functional forwarding of channel state information
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Full diversity blind signal designs for unique identification of frequency selective channels
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Noncoherent MIMO communication: Grassmannian constellations and efficient detection
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Information rates of the noncoherent frequency selective fading channel
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On the spectral efficiency of noncoherent doubly selective block-fading channels
IEEE Transactions on Information Theory
Maximum-likelihood noncoherent OSTBC detection with polynomial complexity
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A unified treatment of optimum pilot overhead in multipath fading channels
IEEE Transactions on Communications
Superiority of superposition multiaccess with single-user decoding over TDMA in the low SNR regime
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Grassmannian packings from operator Reed-Muller codes
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On bandlimited fading channels at high SNR
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Hi-index | 755.62 |
We study the capacity of multiple-antenna fading channels. We focus on the scenario where the fading coefficients vary quickly; thus an accurate estimation of the coefficients is generally not available to either the transmitter or the receiver. We use a noncoherent block fading model proposed by Marzetta and Hochwald (see ibid. vol.45, p.139-57, 1999). The model does not assume any channel side information at the receiver or at the transmitter, but assumes that the coefficients remain constant for a coherence interval of length T symbol periods. We compute the asymptotic capacity of this channel at high signal-to-noise ratio (SNR) in terms of the coherence time T, the number of transmit antennas M, and the number of receive antennas N. While the capacity gain of the coherent multiple antenna channel is min{M, N} bits per second per Hertz for every 3-dB increase in SNR, the corresponding gain for the noncoherent channel turns out to be M* (1 - M*/T) bits per second per Hertz, where M*=min{M, N, [T/2]}. The capacity expression has a geometric interpretation as sphere packing in the Grassmann manifold