Task offloading and resource allocation in vehicle heterogeneous networks with MEC
Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues i...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2018-09-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2018.00062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850212800475955200 |
|---|---|
| author | Haibo ZHANG Qiuji LUAN Jiang ZHU Fangwei LI |
| author_facet | Haibo ZHANG Qiuji LUAN Jiang ZHU Fangwei LI |
| author_sort | Haibo ZHANG |
| collection | DOAJ |
| description | Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link. |
| format | Article |
| id | doaj-art-ae67f48a87d240f1b1f562aaf45c386d |
| institution | OA Journals |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2018-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-ae67f48a87d240f1b1f562aaf45c386d2025-08-20T02:09:14ZzhoChina InfoCom Media Group物联网学报2096-37502018-09-012364359643383Task offloading and resource allocation in vehicle heterogeneous networks with MECHaibo ZHANGQiuji LUANJiang ZHUFangwei LIBased on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2018.00062mobile edge computing;LTE-U;vehicle network;task offloading;resource allocation |
| spellingShingle | Haibo ZHANG Qiuji LUAN Jiang ZHU Fangwei LI Task offloading and resource allocation in vehicle heterogeneous networks with MEC 物联网学报 mobile edge computing;LTE-U;vehicle network;task offloading;resource allocation |
| title | Task offloading and resource allocation in vehicle heterogeneous networks with MEC |
| title_full | Task offloading and resource allocation in vehicle heterogeneous networks with MEC |
| title_fullStr | Task offloading and resource allocation in vehicle heterogeneous networks with MEC |
| title_full_unstemmed | Task offloading and resource allocation in vehicle heterogeneous networks with MEC |
| title_short | Task offloading and resource allocation in vehicle heterogeneous networks with MEC |
| title_sort | task offloading and resource allocation in vehicle heterogeneous networks with mec |
| topic | mobile edge computing;LTE-U;vehicle network;task offloading;resource allocation |
| url | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2018.00062 |
| work_keys_str_mv | AT haibozhang taskoffloadingandresourceallocationinvehicleheterogeneousnetworkswithmec AT qiujiluan taskoffloadingandresourceallocationinvehicleheterogeneousnetworkswithmec AT jiangzhu taskoffloadingandresourceallocationinvehicleheterogeneousnetworkswithmec AT fangweili taskoffloadingandresourceallocationinvehicleheterogeneousnetworkswithmec |