Research
Discrete Signaling and Treating Interference as Noise for the Gaussian Interference Channel
Coding and Information Theory Lab
Prof. Yu-Chih Huang
The two-user Gaussian interference channel is a fundamental building block in network information theory. The signal model is given by:

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The capacity region can be achieved to within 1 bit by Han-Kobayashi scheme, which employs 1) Gaussian signaling and 2) SIC receiver for decoding common message.

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We propose a novel coding scheme that involves only discrete signaling and single-user treating interference as noise receiver. We show that this scheme achieves the capacity region to within a constant gap:

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▶ Min Qiu, Yu-Chih Huang, and Jinhong Yuan, "Discrete signaling and treating interference as noise for the Gaussian interference channel," in IEEE Trans. Inf. Theory, vol. 67, no. 11, pp. 7253-7284, Nov. 2021. (Link)