Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level
Author(s)
Lev, Omri; Khina, Anatoly
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We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, that uses modulo-lattice modulation with multiple layers. For each layer, we employ either analog linear modulation or analog pulse-position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement.
Date issued
2023-11-06Department
Massachusetts Institute of Technology. Signals, Information and Algorithms LaboratoryPublisher
Multidisciplinary Digital Publishing Institute
Citation
Entropy 25 (11): 1522 (2023)
Version: Final published version