Resource allocation for the semantic communication in the intelligent networked environment
Traditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge, taking intelligent task-oriented internet of vehicles scenarios...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00279/ |
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| _version_ | 1841533822295867392 |
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| author | Jiujiu CHEN Caili GUO Chunyan FENG Chuanhong LIU |
| author_facet | Jiujiu CHEN Caili GUO Chunyan FENG Chuanhong LIU |
| author_sort | Jiujiu CHEN |
| collection | DOAJ |
| description | Traditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge, taking intelligent task-oriented internet of vehicles scenarios as an example, two resource allocation optimization criteria for the semantic communication were firstly proposed.Then, according to different dimensions of resources, the models and algorithms of the resource allocation for the semantic communication were described.Then, a semantic communication-oriented image dataset was constructed, and the performance advantages of the proposed resource allocation methods in the simulation scenario of the internet of vehicles were analyzed.Finally, the future challenges of the resource allocation for the semantic communication were presented. |
| format | Article |
| id | doaj-art-74d92cdb5ebe4329b06d63693cdd58fb |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-74d92cdb5ebe4329b06d63693cdd58fb2025-01-15T02:53:43ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-016475759650830Resource allocation for the semantic communication in the intelligent networked environmentJiujiu CHENCaili GUOChunyan FENGChuanhong LIUTraditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge, taking intelligent task-oriented internet of vehicles scenarios as an example, two resource allocation optimization criteria for the semantic communication were firstly proposed.Then, according to different dimensions of resources, the models and algorithms of the resource allocation for the semantic communication were described.Then, a semantic communication-oriented image dataset was constructed, and the performance advantages of the proposed resource allocation methods in the simulation scenario of the internet of vehicles were analyzed.Finally, the future challenges of the resource allocation for the semantic communication were presented.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00279/semantic communicationresources allocationintelligent networked connectionoptimization criteriareinforcement learning |
| spellingShingle | Jiujiu CHEN Caili GUO Chunyan FENG Chuanhong LIU Resource allocation for the semantic communication in the intelligent networked environment 物联网学报 semantic communication resources allocation intelligent networked connection optimization criteria reinforcement learning |
| title | Resource allocation for the semantic communication in the intelligent networked environment |
| title_full | Resource allocation for the semantic communication in the intelligent networked environment |
| title_fullStr | Resource allocation for the semantic communication in the intelligent networked environment |
| title_full_unstemmed | Resource allocation for the semantic communication in the intelligent networked environment |
| title_short | Resource allocation for the semantic communication in the intelligent networked environment |
| title_sort | resource allocation for the semantic communication in the intelligent networked environment |
| topic | semantic communication resources allocation intelligent networked connection optimization criteria reinforcement learning |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00279/ |
| work_keys_str_mv | AT jiujiuchen resourceallocationforthesemanticcommunicationintheintelligentnetworkedenvironment AT cailiguo resourceallocationforthesemanticcommunicationintheintelligentnetworkedenvironment AT chunyanfeng resourceallocationforthesemanticcommunicationintheintelligentnetworkedenvironment AT chuanhongliu resourceallocationforthesemanticcommunicationintheintelligentnetworkedenvironment |