Predictive channel scheduling algorithm between macro base station and micro base station group
A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-11-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019217/ |
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| author | Yinghai XIE Ruohe YAO Bin WU |
| author_facet | Yinghai XIE Ruohe YAO Bin WU |
| author_sort | Yinghai XIE |
| collection | DOAJ |
| description | A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication agents,a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory,and the event domain was segmented.Then,the efficient scheduling of multi-user,multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms,the new algorithm can optimize traffic transmission in a longer time dimension,approximate the maximum signal-to-noise ratio algorithm in throughput performance,and increase system throughput by about 14% under heavy load.At the same time,the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate. |
| format | Article |
| id | doaj-art-08c21c05532e4737925e1f356f90806b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-08c21c05532e4737925e1f356f90806b2025-01-14T07:18:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-11-0140192959731772Predictive channel scheduling algorithm between macro base station and micro base station groupYinghai XIERuohe YAOBin WUA novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication agents,a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory,and the event domain was segmented.Then,the efficient scheduling of multi-user,multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms,the new algorithm can optimize traffic transmission in a longer time dimension,approximate the maximum signal-to-noise ratio algorithm in throughput performance,and increase system throughput by about 14% under heavy load.At the same time,the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019217/super cellular networkstationary stochastic processdiscrete channel state probability spacepredictive channel schedulingquantitative scheduling |
| spellingShingle | Yinghai XIE Ruohe YAO Bin WU Predictive channel scheduling algorithm between macro base station and micro base station group Tongxin xuebao super cellular network stationary stochastic process discrete channel state probability space predictive channel scheduling quantitative scheduling |
| title | Predictive channel scheduling algorithm between macro base station and micro base station group |
| title_full | Predictive channel scheduling algorithm between macro base station and micro base station group |
| title_fullStr | Predictive channel scheduling algorithm between macro base station and micro base station group |
| title_full_unstemmed | Predictive channel scheduling algorithm between macro base station and micro base station group |
| title_short | Predictive channel scheduling algorithm between macro base station and micro base station group |
| title_sort | predictive channel scheduling algorithm between macro base station and micro base station group |
| topic | super cellular network stationary stochastic process discrete channel state probability space predictive channel scheduling quantitative scheduling |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019217/ |
| work_keys_str_mv | AT yinghaixie predictivechannelschedulingalgorithmbetweenmacrobasestationandmicrobasestationgroup AT ruoheyao predictivechannelschedulingalgorithmbetweenmacrobasestationandmicrobasestationgroup AT binwu predictivechannelschedulingalgorithmbetweenmacrobasestationandmicrobasestationgroup |