Capacity of molecular channels with imperfect particle-intensity modulation and detection
© 2017 IEEE. This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the properties of the optimal input distribution and the capacity limits for this system. In the PIC, the transmitter encodes information, in symbols of a given dur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022
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| Online Access: | https://hdl.handle.net/1721.1/137920.2 |
| _version_ | 1811088117267955712 |
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| author | Farsad, Nariman Rose, Christopher Medard, Muriel Goldsmith, Andrea |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Farsad, Nariman Rose, Christopher Medard, Muriel Goldsmith, Andrea |
| author_sort | Farsad, Nariman |
| collection | MIT |
| description | © 2017 IEEE. This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the properties of the optimal input distribution and the capacity limits for this system. In the PIC, the transmitter encodes information, in symbols of a given duration, based on the number of particles released, and the receiver detects and decodes the message based on the number of particles detected during the symbol interval. In this channel, the transmitter may be unable to control precisely the number of particles released, and the receiver may not detect all the particles that arrive. We demonstrate that the optimal input distribution for this channel always has mass points at zero and the maximum number of particles that can be released. We then consider diffusive particle transport, derive the capacity expression when the input distribution is binary, and show conditions under which the binary input is capacity-achieving. In particular, we demonstrate that when the transmitter cannot generate particles at a high rate, the optimal input distribution is binary. |
| first_indexed | 2024-09-23T13:56:33Z |
| format | Article |
| id | mit-1721.1/137920.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:56:33Z |
| publishDate | 2022 |
| publisher | IEEE |
| record_format | dspace |
| spelling | mit-1721.1/137920.22022-01-11T14:08:07Z Capacity of molecular channels with imperfect particle-intensity modulation and detection Farsad, Nariman Rose, Christopher Medard, Muriel Goldsmith, Andrea Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © 2017 IEEE. This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the properties of the optimal input distribution and the capacity limits for this system. In the PIC, the transmitter encodes information, in symbols of a given duration, based on the number of particles released, and the receiver detects and decodes the message based on the number of particles detected during the symbol interval. In this channel, the transmitter may be unable to control precisely the number of particles released, and the receiver may not detect all the particles that arrive. We demonstrate that the optimal input distribution for this channel always has mass points at zero and the maximum number of particles that can be released. We then consider diffusive particle transport, derive the capacity expression when the input distribution is binary, and show conditions under which the binary input is capacity-achieving. In particular, we demonstrate that when the transmitter cannot generate particles at a high rate, the optimal input distribution is binary. NSF (Grant CCF-0939370) 2022-01-11T14:08:06Z 2021-11-09T15:23:17Z 2022-01-11T14:08:06Z 2017-06 2019-06-20T17:31:54Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137920.2 Farsad, Nariman, Rose, Christopher, Medard, Muriel and Goldsmith, Andrea. 2017. "Capacity of molecular channels with imperfect particle-intensity modulation and detection." en 10.1109/isit.2017.8006973 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream IEEE arXiv |
| spellingShingle | Farsad, Nariman Rose, Christopher Medard, Muriel Goldsmith, Andrea Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title | Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title_full | Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title_fullStr | Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title_full_unstemmed | Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title_short | Capacity of molecular channels with imperfect particle-intensity modulation and detection |
| title_sort | capacity of molecular channels with imperfect particle intensity modulation and detection |
| url | https://hdl.handle.net/1721.1/137920.2 |
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