Joint channel allocation and power control in femtocell system
A joint channel allocation and power control algorithm was proposed, which used convex optimization method to combine channel allocation and power control and limit the range of interference, subgradient method was used to solve the close formula of power and optimize the capacity of fem network. In...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.016/ |
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| _version_ | 1841539705218269184 |
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| author | Shi-yao MU Qi ZHU |
| author_facet | Shi-yao MU Qi ZHU |
| author_sort | Shi-yao MU |
| collection | DOAJ |
| description | A joint channel allocation and power control algorithm was proposed, which used convex optimization method to combine channel allocation and power control and limit the range of interference, subgradient method was used to solve the close formula of power and optimize the capacity of fem network. In addition, the algorithm had connected the optimal of fem network and macro network together, thus macro network's throughput could be maximized. Simulation results prove that system throughput has been greatly improved. |
| format | Article |
| id | doaj-art-0b239f49b79e480ea0c08861f89f4d6a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0b239f49b79e480ea0c08861f89f4d6a2025-01-14T06:43:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-04-013514114759681123Joint channel allocation and power control in femtocell systemShi-yao MUQi ZHUA joint channel allocation and power control algorithm was proposed, which used convex optimization method to combine channel allocation and power control and limit the range of interference, subgradient method was used to solve the close formula of power and optimize the capacity of fem network. In addition, the algorithm had connected the optimal of fem network and macro network together, thus macro network's throughput could be maximized. Simulation results prove that system throughput has been greatly improved.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.016/two-tier networkfemtocellchannel allocationpower controlconvex optimization |
| spellingShingle | Shi-yao MU Qi ZHU Joint channel allocation and power control in femtocell system Tongxin xuebao two-tier network femtocell channel allocation power control convex optimization |
| title | Joint channel allocation and power control in femtocell system |
| title_full | Joint channel allocation and power control in femtocell system |
| title_fullStr | Joint channel allocation and power control in femtocell system |
| title_full_unstemmed | Joint channel allocation and power control in femtocell system |
| title_short | Joint channel allocation and power control in femtocell system |
| title_sort | joint channel allocation and power control in femtocell system |
| topic | two-tier network femtocell channel allocation power control convex optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.016/ |
| work_keys_str_mv | AT shiyaomu jointchannelallocationandpowercontrolinfemtocellsystem AT qizhu jointchannelallocationandpowercontrolinfemtocellsystem |