Semantic communication networking for the intelligence of everything
With the fast growing demand for the wireless network intelligence, the future communication system will transform from the traditional data-oriented solution to a novel intelligence-of-everything (IoE)-based architecture.Semantic communication is a new communication technology which involves the me...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2021-06-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00209/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841533800732950528 |
|---|---|
| author | Guangming SHI Yong XIAO Yingyu LI Dahua GAO Xuemei XIE |
| author_facet | Guangming SHI Yong XIAO Yingyu LI Dahua GAO Xuemei XIE |
| author_sort | Guangming SHI |
| collection | DOAJ |
| description | With the fast growing demand for the wireless network intelligence, the future communication system will transform from the traditional data-oriented solution to a novel intelligence-of-everything (IoE)-based architecture.Semantic communication is a new communication technology which involves the meaning of message into the communication process.It is believed that semantic communication will have the potential to serve as the fundamental paradigm for the future IoE.The relationship between the semantic communication and IoE was discussed and the basic models and fundamental components of semantic communication were introduced.By discussing the limitations of point-to-point semantic communication, it was argued that the knowledge sharing and resource convergence-based semantic communication networking would be ideal for supporting the future massive scales of IoE systems.The basic components of the semantic communication networking system were discussed and a federated edge intelligence-based semantic communication networking architecture as a case study was considered.Simulation results show that semantic communication networking has the potential to further reduce the resource demand and improve the efficiency of semantic communication.Finally, open problems for future research were discussed. |
| format | Article |
| id | doaj-art-39a59e9cd9b442c880afef133955686e |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-39a59e9cd9b442c880afef133955686e2025-01-15T02:53:36ZzhoChina InfoCom Media Group物联网学报2096-37502021-06-015263659649836Semantic communication networking for the intelligence of everythingGuangming SHIYong XIAOYingyu LIDahua GAOXuemei XIEWith the fast growing demand for the wireless network intelligence, the future communication system will transform from the traditional data-oriented solution to a novel intelligence-of-everything (IoE)-based architecture.Semantic communication is a new communication technology which involves the meaning of message into the communication process.It is believed that semantic communication will have the potential to serve as the fundamental paradigm for the future IoE.The relationship between the semantic communication and IoE was discussed and the basic models and fundamental components of semantic communication were introduced.By discussing the limitations of point-to-point semantic communication, it was argued that the knowledge sharing and resource convergence-based semantic communication networking would be ideal for supporting the future massive scales of IoE systems.The basic components of the semantic communication networking system were discussed and a federated edge intelligence-based semantic communication networking architecture as a case study was considered.Simulation results show that semantic communication networking has the potential to further reduce the resource demand and improve the efficiency of semantic communication.Finally, open problems for future research were discussed.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00209/semantic communicationintelligence of everythingedge intelligencefederated learning |
| spellingShingle | Guangming SHI Yong XIAO Yingyu LI Dahua GAO Xuemei XIE Semantic communication networking for the intelligence of everything 物联网学报 semantic communication intelligence of everything edge intelligence federated learning |
| title | Semantic communication networking for the intelligence of everything |
| title_full | Semantic communication networking for the intelligence of everything |
| title_fullStr | Semantic communication networking for the intelligence of everything |
| title_full_unstemmed | Semantic communication networking for the intelligence of everything |
| title_short | Semantic communication networking for the intelligence of everything |
| title_sort | semantic communication networking for the intelligence of everything |
| topic | semantic communication intelligence of everything edge intelligence federated learning |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00209/ |
| work_keys_str_mv | AT guangmingshi semanticcommunicationnetworkingfortheintelligenceofeverything AT yongxiao semanticcommunicationnetworkingfortheintelligenceofeverything AT yingyuli semanticcommunicationnetworkingfortheintelligenceofeverything AT dahuagao semanticcommunicationnetworkingfortheintelligenceofeverything AT xuemeixie semanticcommunicationnetworkingfortheintelligenceofeverything |