| Autor: |
Tianle MAI, Haipeng YAO, Xiangjun XIN, Jingkai YANG, Chenlang JIN |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
天地一体化信息网络, Vol 5, Pp 34-42 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2096-8930 |
| DOI: |
10.11959/j.issn.2096-8930.2024014 |
| Popis: |
In the space-air-ground integrated network, resources are unevenly distributed and dynamically change over time.Traditional optimization scheduling methods based on static resource representation only optimize scheduling within a single time slot, leading to low resource utilization.Moreover, frequent strategy adjustments are required when the network changes, resulting in significant migration costs.To address this issue, this paper proposed a method for spatiotemporal correlation representation of resources in the space-air-ground integrated network.This method computed node attention representations in both structural neighborhoods and chronological neighborhoods, enabled precise modeling of spatiotemporal resource correlations in the space-air-ground integrated network.Based on this, this paper proposed a resource precise embedding method based on spatiotemporal correlation representation, and introduced the trust region policy optimization method to adaptively learn and optimize algorithm parameters. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
