Semantic Communication on Digital Wireless Communication Systems Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/electronics14050956
Semantic communication is an effective technological approach for the integration of intelligence and communication, enabling more efficient and context-aware data transmission. In this paper, we propose a bit-conversion-based semantic communication transmission framework to ensure compatibility with existing wireless systems. Specifically, a series of physical layer processing modules in end-to-end transmission are designed. Additionally, we develop a semantic communication simulator to implement and evaluate this framework. To optimize the performance of this framework, we introduce a novel physical layer metric, termed Integer Error Rate (IER), which provides a more suitable evaluation criterion for semantic communication compared to the conventional bit error rate (BER). On the basis of the IER, a minimum Manhattan distance constellation mapping scheme is proposed, which can improve the transmission quality of semantic communication under the same BER condition. Furthermore, we propose a hybrid joint source–channel coding (JSCC) and separate source–channel coding (SSCC) transmission scheme. This scheme decouples the semantic quantization output from the modulation order by segmenting the bits to be transmitted. Simulation results demonstrate that the hybrid JSCC/SSCC transmission scheme can improve the semantic performance, such as the Peak Signal-to-Noise Ratio (PSNR), in low Signal-to-Noise Ratio (SNR) environments while reducing bandwidth usage by up to 50% compared to the benchmark scheme.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics14050956
- https://www.mdpi.com/2079-9292/14/5/956/pdf?version=1740746731
- OA Status
- gold
- Cited By
- 1
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408051768
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408051768Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics14050956Digital Object Identifier
- Title
-
Semantic Communication on Digital Wireless Communication SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-27Full publication date if available
- Authors
-
Binhong Huang, Hao Chen, Cheng Guo, Xiaodong Xu, Nan Ma, Ping ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics14050956Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/14/5/956/pdf?version=1740746731Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/14/5/956/pdf?version=1740746731Direct OA link when available
- Concepts
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Computer science, Wireless, Communications system, Computer network, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.such | 179 |
| abstract_inverted_index.that | 168 |
| abstract_inverted_index.this | 22, 63, 70 |
| abstract_inverted_index.with | 35 |
| abstract_inverted_index.(SNR) | 190 |
| abstract_inverted_index.Error | 81 |
| abstract_inverted_index.Ratio | 184, 189 |
| abstract_inverted_index.basis | 104 |
| abstract_inverted_index.error | 99 |
| abstract_inverted_index.joint | 136 |
| abstract_inverted_index.layer | 44, 77 |
| abstract_inverted_index.novel | 75 |
| abstract_inverted_index.order | 157 |
| abstract_inverted_index.under | 126 |
| abstract_inverted_index.usage | 195 |
| abstract_inverted_index.which | 84, 117 |
| abstract_inverted_index.while | 192 |
| abstract_inverted_index.(BER). | 101 |
| abstract_inverted_index.(IER), | 83 |
| abstract_inverted_index.(JSCC) | 139 |
| abstract_inverted_index.(SSCC) | 144 |
| abstract_inverted_index.coding | 138, 143 |
| abstract_inverted_index.ensure | 33 |
| abstract_inverted_index.hybrid | 135, 170 |
| abstract_inverted_index.output | 153 |
| abstract_inverted_index.paper, | 23 |
| abstract_inverted_index.scheme | 114, 148, 173 |
| abstract_inverted_index.series | 41 |
| abstract_inverted_index.termed | 79 |
| abstract_inverted_index.(PSNR), | 185 |
| abstract_inverted_index.Integer | 80 |
| abstract_inverted_index.develop | 54 |
| abstract_inverted_index.improve | 119, 175 |
| abstract_inverted_index.mapping | 113 |
| abstract_inverted_index.metric, | 78 |
| abstract_inverted_index.minimum | 109 |
| abstract_inverted_index.modules | 46 |
| abstract_inverted_index.propose | 25, 133 |
| abstract_inverted_index.quality | 122 |
| abstract_inverted_index.results | 166 |
| abstract_inverted_index.scheme. | 146, 204 |
| abstract_inverted_index.Semantic | 0 |
| abstract_inverted_index.approach | 6 |
| abstract_inverted_index.compared | 94, 200 |
| abstract_inverted_index.distance | 111 |
| abstract_inverted_index.enabling | 14 |
| abstract_inverted_index.evaluate | 62 |
| abstract_inverted_index.existing | 36 |
| abstract_inverted_index.optimize | 66 |
| abstract_inverted_index.physical | 43, 76 |
| abstract_inverted_index.provides | 85 |
| abstract_inverted_index.reducing | 193 |
| abstract_inverted_index.semantic | 28, 56, 92, 124, 151, 177 |
| abstract_inverted_index.separate | 141 |
| abstract_inverted_index.suitable | 88 |
| abstract_inverted_index.systems. | 38 |
| abstract_inverted_index.wireless | 37 |
| abstract_inverted_index.JSCC/SSCC | 171 |
| abstract_inverted_index.Manhattan | 110 |
| abstract_inverted_index.bandwidth | 194 |
| abstract_inverted_index.benchmark | 203 |
| abstract_inverted_index.criterion | 90 |
| abstract_inverted_index.decouples | 149 |
| abstract_inverted_index.designed. | 51 |
| abstract_inverted_index.effective | 4 |
| abstract_inverted_index.efficient | 16 |
| abstract_inverted_index.framework | 31 |
| abstract_inverted_index.implement | 60 |
| abstract_inverted_index.introduce | 73 |
| abstract_inverted_index.proposed, | 116 |
| abstract_inverted_index.simulator | 58 |
| abstract_inverted_index.Simulation | 165 |
| abstract_inverted_index.condition. | 130 |
| abstract_inverted_index.end-to-end | 48 |
| abstract_inverted_index.evaluation | 89 |
| abstract_inverted_index.framework, | 71 |
| abstract_inverted_index.framework. | 64 |
| abstract_inverted_index.modulation | 156 |
| abstract_inverted_index.processing | 45 |
| abstract_inverted_index.segmenting | 159 |
| abstract_inverted_index.demonstrate | 167 |
| abstract_inverted_index.integration | 9 |
| abstract_inverted_index.performance | 68 |
| abstract_inverted_index.Furthermore, | 131 |
| abstract_inverted_index.conventional | 97 |
| abstract_inverted_index.environments | 191 |
| abstract_inverted_index.intelligence | 11 |
| abstract_inverted_index.performance, | 178 |
| abstract_inverted_index.quantization | 152 |
| abstract_inverted_index.transmission | 30, 49, 121, 145, 172 |
| abstract_inverted_index.transmitted. | 164 |
| abstract_inverted_index.Additionally, | 52 |
| abstract_inverted_index.Specifically, | 39 |
| abstract_inverted_index.communication | 1, 29, 57, 93, 125 |
| abstract_inverted_index.compatibility | 34 |
| abstract_inverted_index.constellation | 112 |
| abstract_inverted_index.context-aware | 18 |
| abstract_inverted_index.technological | 5 |
| abstract_inverted_index.transmission. | 20 |
| abstract_inverted_index.communication, | 13 |
| abstract_inverted_index.Signal-to-Noise | 183, 188 |
| abstract_inverted_index.source–channel | 137, 142 |
| abstract_inverted_index.bit-conversion-based | 27 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.9308152 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |