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2020•Unpublished venueRequires access

Maximizing the AWGN-Channel Capacity of the GQAM Constellation with Two Degrees of Freedom

Brett Wiens, Daniel C. Lee

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Abstract

This paper studies the channel capacity of the discrete-input continuous-output channel in which the input signal constellation has a rectangular-grid shape and the noise is additive white Gaussian. The channel capacity of such a system depends on the two parameters defining the shape of the constellation and the signal-to-noise ratio. We study the capacity as a function of these variables.

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What this paper is about

This paper studies the channel capacity of the discrete-input continuous-output channel in which the input signal constellation has a rectangular-grid shape and the noise is additive white Gaussian. The channel capacity of such a system depends on the two parameters defining the shape of the constellation and the signal-to-noise ratio. We study the capacity as a function of these variables.

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Available abstract

This paper studies the channel capacity of the discrete-input continuous-output channel in which the input signal constellation has a rectangular-grid shape and the noise is additive white Gaussian. The channel capacity of such a system depends on the two parameters defining the shape of the constellation and the signal-to-noise ratio. We study the capacity as a function of these variables.

Key concepts: Additive white Gaussian noise, Channel capacity, Channel (broadcasting), SIGNAL (programming language), Signal-to-noise ratio (imaging), Constellation, Computer science, Constellation diagram

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