Energy saving in uplink cognitive cellular network
To solve the problem that high data rate transmission will cause extremely energy consumption of users,a maximum energy efficiency(EE)strategy,based on the cognitive cellular network model,was proposed by utilizing the cognitive resources and concurrent transmission.According to the characteristics...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2012-11-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.020/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539804662071296 |
|---|---|
| author | Xiao MA Min SHENG Yan ZHANG Yu-zhou LI |
| author_facet | Xiao MA Min SHENG Yan ZHANG Yu-zhou LI |
| author_sort | Xiao MA |
| collection | DOAJ |
| description | To solve the problem that high data rate transmission will cause extremely energy consumption of users,a maximum energy efficiency(EE)strategy,based on the cognitive cellular network model,was proposed by utilizing the cognitive resources and concurrent transmission.According to the characteristics that the multimode user equipment can connect with heterogeneous networks simultaneously,the proposed strategy,establishes the EE model and obtains the algorithm for selecting the cognitive resources and distributing the data rate by analyzing the relationship among the channel state information of available networks,energy consumption and data rate.Simulation results show that the proposed strategy can increase the EE of MUE efficiently |
| format | Article |
| id | doaj-art-4e36f7e8f2664fb3ae61da1d09aeee3e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4e36f7e8f2664fb3ae61da1d09aeee3e2025-01-14T06:34:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013315315959669890Energy saving in uplink cognitive cellular networkXiao MAMin SHENGYan ZHANGYu-zhou LITo solve the problem that high data rate transmission will cause extremely energy consumption of users,a maximum energy efficiency(EE)strategy,based on the cognitive cellular network model,was proposed by utilizing the cognitive resources and concurrent transmission.According to the characteristics that the multimode user equipment can connect with heterogeneous networks simultaneously,the proposed strategy,establishes the EE model and obtains the algorithm for selecting the cognitive resources and distributing the data rate by analyzing the relationship among the channel state information of available networks,energy consumption and data rate.Simulation results show that the proposed strategy can increase the EE of MUE efficientlyhttp://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.020/cognitive cellular networkenergy efficiencyconcurrent transmission |
| spellingShingle | Xiao MA Min SHENG Yan ZHANG Yu-zhou LI Energy saving in uplink cognitive cellular network Tongxin xuebao cognitive cellular network energy efficiency concurrent transmission |
| title | Energy saving in uplink cognitive cellular network |
| title_full | Energy saving in uplink cognitive cellular network |
| title_fullStr | Energy saving in uplink cognitive cellular network |
| title_full_unstemmed | Energy saving in uplink cognitive cellular network |
| title_short | Energy saving in uplink cognitive cellular network |
| title_sort | energy saving in uplink cognitive cellular network |
| topic | cognitive cellular network energy efficiency concurrent transmission |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.020/ |
| work_keys_str_mv | AT xiaoma energysavinginuplinkcognitivecellularnetwork AT minsheng energysavinginuplinkcognitivecellularnetwork AT yanzhang energysavinginuplinkcognitivecellularnetwork AT yuzhouli energysavinginuplinkcognitivecellularnetwork |