Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites
With the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more complex.Due to the scarcity of satellite resources, the slowness o...
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Language: | zho |
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Post&Telecom Press Co.,LTD
2021-12-01
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Series: | 天地一体化信息网络 |
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Online Access: | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2021045/ |
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author | Meirong ZHANG Mengting HAO Chuang WANG Gengxin ZHANG |
author_facet | Meirong ZHANG Mengting HAO Chuang WANG Gengxin ZHANG |
author_sort | Meirong ZHANG |
collection | DOAJ |
description | With the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more complex.Due to the scarcity of satellite resources, the slowness of resource scheduling compared to the status refreshing, and uneven distribution of business, eff ciently managing resources has become one of urgent problems to be solved in the development of satellite communications.In view of the heterogeneous network system architecture of high and low orbit satellites, the challenges, its network resource management and control facing, were analyzed.Integrating on the basis of traditional management and control architecture, the collaborative management and control architecture based on group management was introduced.The management strategy of satellite network virtual resource pool was explained to relieved resources scarcity.Resource scheduling algorithms based on deep reinforcement learning(DRL) was introduced to solved the mismatch problem of traditional scheduling methods in complex environments.Beam-hopping technology was adopted to deal with the two-dimensional unevenness of service distribution in time and space. |
format | Article |
id | doaj-art-373765317f3b4b4eb3b89e836823f80e |
institution | Kabale University |
issn | 2096-8930 |
language | zho |
publishDate | 2021-12-01 |
publisher | Post&Telecom Press Co.,LTD |
record_format | Article |
series | 天地一体化信息网络 |
spelling | doaj-art-373765317f3b4b4eb3b89e836823f80e2025-01-15T02:48:46ZzhoPost&Telecom Press Co.,LTD天地一体化信息网络2096-89302021-12-012677459528828Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit SatellitesMeirong ZHANGMengting HAOChuang WANGGengxin ZHANGWith the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more complex.Due to the scarcity of satellite resources, the slowness of resource scheduling compared to the status refreshing, and uneven distribution of business, eff ciently managing resources has become one of urgent problems to be solved in the development of satellite communications.In view of the heterogeneous network system architecture of high and low orbit satellites, the challenges, its network resource management and control facing, were analyzed.Integrating on the basis of traditional management and control architecture, the collaborative management and control architecture based on group management was introduced.The management strategy of satellite network virtual resource pool was explained to relieved resources scarcity.Resource scheduling algorithms based on deep reinforcement learning(DRL) was introduced to solved the mismatch problem of traditional scheduling methods in complex environments.Beam-hopping technology was adopted to deal with the two-dimensional unevenness of service distribution in time and space.http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2021045/heterogeneous networkresource management and controlvirtual resource pooldeep reinforcement learningbeam-hopping technology |
spellingShingle | Meirong ZHANG Mengting HAO Chuang WANG Gengxin ZHANG Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites 天地一体化信息网络 heterogeneous network resource management and control virtual resource pool deep reinforcement learning beam-hopping technology |
title | Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites |
title_full | Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites |
title_fullStr | Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites |
title_full_unstemmed | Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites |
title_short | Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites |
title_sort | research on strategies and technologies for resource management and control of heterogeneous network of high and low orbit satellites |
topic | heterogeneous network resource management and control virtual resource pool deep reinforcement learning beam-hopping technology |
url | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2021045/ |
work_keys_str_mv | AT meirongzhang researchonstrategiesandtechnologiesforresourcemanagementandcontrolofheterogeneousnetworkofhighandloworbitsatellites AT mengtinghao researchonstrategiesandtechnologiesforresourcemanagementandcontrolofheterogeneousnetworkofhighandloworbitsatellites AT chuangwang researchonstrategiesandtechnologiesforresourcemanagementandcontrolofheterogeneousnetworkofhighandloworbitsatellites AT gengxinzhang researchonstrategiesandtechnologiesforresourcemanagementandcontrolofheterogeneousnetworkofhighandloworbitsatellites |