Cooperative Semantic Communication With On-Demand Semantic Forwarding Article Swipe
Bing Tang
,
Likun Huang
,
Qiang Li
,
Ashish Pandharipande
,
Xiaohu Ge
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/ojcoms.2023.3344882
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/ojcoms.2023.3344882
In this paper, a deep learning-based cooperative semantic communication system is proposed on relay channels. In order to enhance the reliability and adaptability of the system to varying channel conditions, an on-demand semantic forwarding framework is established, where the relay attempts to recover and re-transmit the source semantic information, as required by the destination. To be specific, for determining whether a semantic forwarding is needed from the relay, a semantic similarity check is proposed, based on which the degree of semantic information recovery at the destination can be accurately estimated. On the other hand, in order to effectively merge the semantic information received through different paths, a semantic combining method is proposed by combining the semantic features abstracted from both the direct link and the relay link. For achieving a desirable performance trade-off between the degree of semantic information recovery and the transmit energy consumption, a new metric of semantic energy efficiency (SEE) is proposed. Simulation results verify the performance gains achieved by the proposed cooperative semantic communication system with on-demand semantic forwarding, as compared to the state-of-the-art schemes employing separate source-channel coding in low-to-medium signal-to-noise ratio (SNR) regimes. Furthermore, as compared to the case with always-forwarding, almost the same performance is achieved by the proposed on-demand forwarding, but with lower energy consumption.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/ojcoms.2023.3344882
- https://ieeexplore.ieee.org/ielx7/8782661/8901158/10366858.pdf
- OA Status
- gold
- Cited By
- 17
- References
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- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4389987360Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/ojcoms.2023.3344882Digital Object Identifier
- Title
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Cooperative Semantic Communication With On-Demand Semantic ForwardingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-20Full publication date if available
- Authors
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Bing Tang, Likun Huang, Qiang Li, Ashish Pandharipande, Xiaohu GeList of authors in order
- Landing page
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https://doi.org/10.1109/ojcoms.2023.3344882Publisher landing page
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https://ieeexplore.ieee.org/ielx7/8782661/8901158/10366858.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/8782661/8901158/10366858.pdfDirect OA link when available
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Computer scienceTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 10, 2024: 7Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.almost | 207 |
| abstract_inverted_index.coding | 192 |
| abstract_inverted_index.degree | 83, 145 |
| abstract_inverted_index.direct | 131 |
| abstract_inverted_index.energy | 153, 160, 221 |
| abstract_inverted_index.method | 119 |
| abstract_inverted_index.metric | 157 |
| abstract_inverted_index.needed | 64 |
| abstract_inverted_index.paper, | 2 |
| abstract_inverted_index.paths, | 110 |
| abstract_inverted_index.relay, | 67 |
| abstract_inverted_index.source | 46 |
| abstract_inverted_index.system | 9, 25, 178 |
| abstract_inverted_index.verify | 167 |
| abstract_inverted_index.between | 143 |
| abstract_inverted_index.channel | 28 |
| abstract_inverted_index.enhance | 18 |
| abstract_inverted_index.recover | 42 |
| abstract_inverted_index.results | 166 |
| abstract_inverted_index.schemes | 188 |
| abstract_inverted_index.through | 108 |
| abstract_inverted_index.varying | 27 |
| abstract_inverted_index.whether | 59 |
| abstract_inverted_index.{SSC})$ | 75 |
| abstract_inverted_index.{SeC})$ | 117 |
| abstract_inverted_index.achieved | 171, 212 |
| abstract_inverted_index.attempts | 40 |
| abstract_inverted_index.compared | 184, 201 |
| abstract_inverted_index.features | 126 |
| abstract_inverted_index.proposed | 11, 121, 174, 215 |
| abstract_inverted_index.received | 107 |
| abstract_inverted_index.recovery | 87, 149 |
| abstract_inverted_index.regimes. | 198 |
| abstract_inverted_index.required | 50 |
| abstract_inverted_index.semantic | 7, 32, 47, 61, 69, 85, 105, 112, 125, 147, 159, 176, 181 |
| abstract_inverted_index.separate | 190 |
| abstract_inverted_index.transmit | 152 |
| abstract_inverted_index.<tex-math | 73, 115 |
| abstract_inverted_index.achieving | 138 |
| abstract_inverted_index.channels. | 14 |
| abstract_inverted_index.combining | 113, 123 |
| abstract_inverted_index.desirable | 140 |
| abstract_inverted_index.different | 109 |
| abstract_inverted_index.employing | 189 |
| abstract_inverted_index.framework | 34 |
| abstract_inverted_index.on-demand | 31, 180, 216 |
| abstract_inverted_index.proposed, | 78 |
| abstract_inverted_index.proposed. | 164 |
| abstract_inverted_index.specific, | 56 |
| abstract_inverted_index.trade-off | 142 |
| abstract_inverted_index.Simulation | 165 |
| abstract_inverted_index.abstracted | 127 |
| abstract_inverted_index.accurately | 93 |
| abstract_inverted_index.efficiency | 161 |
| abstract_inverted_index.estimated. | 94 |
| abstract_inverted_index.forwarding | 33, 62 |
| abstract_inverted_index.similarity | 70 |
| abstract_inverted_index.conditions, | 29 |
| abstract_inverted_index.cooperative | 6, 175 |
| abstract_inverted_index.destination | 90 |
| abstract_inverted_index.determining | 58 |
| abstract_inverted_index.effectively | 102 |
| abstract_inverted_index.forwarding, | 182, 217 |
| abstract_inverted_index.information | 86, 106, 148 |
| abstract_inverted_index.performance | 141, 169, 210 |
| abstract_inverted_index.re-transmit | 44 |
| abstract_inverted_index.reliability | 20 |
| abstract_inverted_index.Furthermore, | 199 |
| abstract_inverted_index.adaptability | 22 |
| abstract_inverted_index.consumption, | 154 |
| abstract_inverted_index.consumption. | 222 |
| abstract_inverted_index.destination. | 53 |
| abstract_inverted_index.established, | 36 |
| abstract_inverted_index.information, | 48 |
| abstract_inverted_index.communication | 8, 177 |
| abstract_inverted_index.low-to-medium | 194 |
| abstract_inverted_index.learning-based | 5 |
| abstract_inverted_index.source-channel | 191 |
| abstract_inverted_index.signal-to-noise | 195 |
| abstract_inverted_index.<inline-formula> | 72, 114 |
| abstract_inverted_index.state-of-the-art | 187 |
| abstract_inverted_index.always-forwarding, | 206 |
| abstract_inverted_index.notation="LaTeX">$(\textit | 74, 116 |
| abstract_inverted_index.</tex-math></inline-formula> | 76, 118 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.94423224 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |