Research on the edge-end collaboration framework for deterministic network
5G vertical industries such as industrial automatic control have strict requirements on network transmission delay and reliability.It was focused on the AGV collaborative carrying scenarios, in which the key quality indicator (KQI) of the AGV collaboration and the requirements for network jitter wer...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2022-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022090/ |
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| _version_ | 1841529063071547392 |
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| author | Guangmin SONG Qunqing WANG Zhanbing HUANG Xun SHI Gaojian HAN |
| author_facet | Guangmin SONG Qunqing WANG Zhanbing HUANG Xun SHI Gaojian HAN |
| author_sort | Guangmin SONG |
| collection | DOAJ |
| description | 5G vertical industries such as industrial automatic control have strict requirements on network transmission delay and reliability.It was focused on the AGV collaborative carrying scenarios, in which the key quality indicator (KQI) of the AGV collaboration and the requirements for network jitter were analyzed.Existing 5G ultra-low-latency technologies, such as the pre-scheduling mechanism, reduce transmission scheduling latency by reserving a large number of time-frequency resources, which heavily decreases spectrum efficiency.In addition, wireless channel quality factors such as weak coverage and interference, often cause large jitter, making it difficult to meet the service reliability requirements.In order to deal with these challenges, a deterministic edge-end cooperation framework design to guarantee end-to-end latency was proposed.Based on service flow characteristics, resource reservation was utilized to reduce scheduling latency.Moreover, the proposed framework could enhance data transmissions when poor status of channels was sensed.The experimental results show that the edge-end collaboration framework design can effectively increase the delay reliability, reduce the large jitter, and improve the KQI of AGV collaboration. |
| format | Article |
| id | doaj-art-f1ea27ac32cf4e70a276523860f6c159 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2022-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-f1ea27ac32cf4e70a276523860f6c1592025-01-15T03:27:03ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012022-05-0138263759810636Research on the edge-end collaboration framework for deterministic networkGuangmin SONGQunqing WANGZhanbing HUANGXun SHIGaojian HAN5G vertical industries such as industrial automatic control have strict requirements on network transmission delay and reliability.It was focused on the AGV collaborative carrying scenarios, in which the key quality indicator (KQI) of the AGV collaboration and the requirements for network jitter were analyzed.Existing 5G ultra-low-latency technologies, such as the pre-scheduling mechanism, reduce transmission scheduling latency by reserving a large number of time-frequency resources, which heavily decreases spectrum efficiency.In addition, wireless channel quality factors such as weak coverage and interference, often cause large jitter, making it difficult to meet the service reliability requirements.In order to deal with these challenges, a deterministic edge-end cooperation framework design to guarantee end-to-end latency was proposed.Based on service flow characteristics, resource reservation was utilized to reduce scheduling latency.Moreover, the proposed framework could enhance data transmissions when poor status of channels was sensed.The experimental results show that the edge-end collaboration framework design can effectively increase the delay reliability, reduce the large jitter, and improve the KQI of AGV collaboration.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022090/5GAGVdeterministic networkedge-end collaboration |
| spellingShingle | Guangmin SONG Qunqing WANG Zhanbing HUANG Xun SHI Gaojian HAN Research on the edge-end collaboration framework for deterministic network Dianxin kexue 5G AGV deterministic network edge-end collaboration |
| title | Research on the edge-end collaboration framework for deterministic network |
| title_full | Research on the edge-end collaboration framework for deterministic network |
| title_fullStr | Research on the edge-end collaboration framework for deterministic network |
| title_full_unstemmed | Research on the edge-end collaboration framework for deterministic network |
| title_short | Research on the edge-end collaboration framework for deterministic network |
| title_sort | research on the edge end collaboration framework for deterministic network |
| topic | 5G AGV deterministic network edge-end collaboration |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022090/ |
| work_keys_str_mv | AT guangminsong researchontheedgeendcollaborationframeworkfordeterministicnetwork AT qunqingwang researchontheedgeendcollaborationframeworkfordeterministicnetwork AT zhanbinghuang researchontheedgeendcollaborationframeworkfordeterministicnetwork AT xunshi researchontheedgeendcollaborationframeworkfordeterministicnetwork AT gaojianhan researchontheedgeendcollaborationframeworkfordeterministicnetwork |