Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level
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...
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | https://hdl.handle.net/1721.1/153018 |
| _version_ | 1826198685340401664 |
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| author | Lev, Omri Khina, Anatoly |
| author2 | Massachusetts Institute of Technology. Signals, Information and Algorithms Laboratory |
| author_facet | Massachusetts Institute of Technology. Signals, Information and Algorithms Laboratory Lev, Omri Khina, Anatoly |
| author_sort | Lev, Omri |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:08:33Z |
| format | Article |
| id | mit-1721.1/153018 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:08:33Z |
| publishDate | 2023 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1530182024-01-24T18:40:02Z Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level Lev, Omri Khina, Anatoly Massachusetts Institute of Technology. Signals, Information and Algorithms Laboratory 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. 2023-11-27T15:21:06Z 2023-11-27T15:21:06Z 2023-11-06 2023-11-24T14:22:56Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/153018 Entropy 25 (11): 1522 (2023) PUBLISHER_CC http://dx.doi.org/10.3390/e25111522 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Lev, Omri Khina, Anatoly Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title | Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title_full | Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title_fullStr | Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title_full_unstemmed | Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title_short | Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level |
| title_sort | energy limited joint source channel coding of gaussian sources over gaussian channels with unknown noise level |
| url | https://hdl.handle.net/1721.1/153018 |
| work_keys_str_mv | AT levomri energylimitedjointsourcechannelcodingofgaussiansourcesovergaussianchannelswithunknownnoiselevel AT khinaanatoly energylimitedjointsourcechannelcodingofgaussiansourcesovergaussianchannelswithunknownnoiselevel |