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Near Capacity Signaling over Fading Channels using Coherent Turbo Coded OFDM and Massive MIMO
The minimum average signal-to-noise ratio (SNR) per bit required for err...
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Lower Bound on the Capacity of the Continuous-Space SSFM Model of Optical Fiber
The capacity of a discrete-time model of optical fiber described by the ...
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Quadratically Constrained Two-way Adversarial Channels
We study achievable rates of reliable communication in a power-constrain...
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Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode
The achievable rate of existing wireless systems is commonly studied bas...
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On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial
Optical wireless communication (OWC) using intensity-modulation and dire...
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Randomization Approaches for Reducing PAPR with Partial Transmit Sequences and Semidefinite Relaxation
To reduce peak-to-average power ratio, we propose a method to choose a s...
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Statistical Characterization of Wireless MIMO Channels in Mode-Stirred Enclosures
We present the statistical characterization of a 2x2 Multiple-Input Mult...
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On the Capacity of MIMO Optical Wireless Channels
This paper studies the capacity of a general multiple-input multiple-output (MIMO) free-space optical intensity channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. The main focus is on the scenario with more transmit than receive antennas. In this scenario, different input vectors can yield identical distributions at the output, when they result in the same image vector under multiplication by the channel matrix. We first determine the most energy-efficient input vectors that attain each of these image vectors. Based on this, we derive an equivalent capacity expression in terms of the image vector, and establish new lower and upper bounds on the capacity of this channel. The bounds match when the signal-to-noise ratio (SNR) tends to infinity, establishing the high-SNR asymptotic capacity. We also characterize the low-SNR slope of the capacity of this channel.
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