Capacity Bounds for Discrete-Time, Amplitude-Constrained, Additive White Gaussian Noise Channels

November 27, 2015 Β· Declared Dead Β· πŸ› IEEE Transactions on Information Theory

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Authors Andrew Thangaraj, Gerhard Kramer, Georg Bocherer arXiv ID 1511.08742 Category cs.IT: Information Theory Citations 74 Venue IEEE Transactions on Information Theory Last Checked 5 months ago
Abstract
The capacity-achieving input distribution of the discrete-time, additive white Gaussian noise (AWGN) channel with an amplitude constraint is discrete and seems difficult to characterize explicitly. A dual capacity expression is used to derive analytic capacity upper bounds for scalar and vector AWGN channels. The scalar bound improves on McKellips' bound and is within 0.1 bits of capacity for all signal-to-noise ratios (SNRs). The two-dimensional bound is within 0.15 bits of capacity provably up to 4.5 dB, and numerical evidence suggests a similar gap for all SNRs.
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