State transition probability based sensing duration optimization algorithm in cognitive radio
The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively,based on which,a state transition probabili...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74418372/ |
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| _version_ | 1841537797801902080 |
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| author | ZHANG Xiao WANG Jin-long WU Qi-hui |
| author_facet | ZHANG Xiao WANG Jin-long WU Qi-hui |
| author_sort | ZHANG Xiao |
| collection | DOAJ |
| description | The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively,based on which,a state transition probability prediction based sensing duration optimization algorithm was proposed.The proposed algorithm can use as little sensing duration in each frame as possible to satisfy the sensing performance constraints so as to maximize the energy and transmitting efficiencies of the cognitive networks. |
| format | Article |
| id | doaj-art-7a738bded4bc4259b6abf14d8611ec0d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-7a738bded4bc4259b6abf14d8611ec0d2025-01-14T08:22:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132728074418372State transition probability based sensing duration optimization algorithm in cognitive radioZHANG XiaoWANG Jin-longWU Qi-huiThe sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively,based on which,a state transition probability prediction based sensing duration optimization algorithm was proposed.The proposed algorithm can use as little sensing duration in each frame as possible to satisfy the sensing performance constraints so as to maximize the energy and transmitting efficiencies of the cognitive networks.http://www.joconline.com.cn/zh/article/74418372/cognitive radiostate transition probabilitysensing durationperiodic sensing framework |
| spellingShingle | ZHANG Xiao WANG Jin-long WU Qi-hui State transition probability based sensing duration optimization algorithm in cognitive radio Tongxin xuebao cognitive radio state transition probability sensing duration periodic sensing framework |
| title | State transition probability based sensing duration optimization algorithm in cognitive radio |
| title_full | State transition probability based sensing duration optimization algorithm in cognitive radio |
| title_fullStr | State transition probability based sensing duration optimization algorithm in cognitive radio |
| title_full_unstemmed | State transition probability based sensing duration optimization algorithm in cognitive radio |
| title_short | State transition probability based sensing duration optimization algorithm in cognitive radio |
| title_sort | state transition probability based sensing duration optimization algorithm in cognitive radio |
| topic | cognitive radio state transition probability sensing duration periodic sensing framework |
| url | http://www.joconline.com.cn/zh/article/74418372/ |
| work_keys_str_mv | AT zhangxiao statetransitionprobabilitybasedsensingdurationoptimizationalgorithmincognitiveradio AT wangjinlong statetransitionprobabilitybasedsensingdurationoptimizationalgorithmincognitiveradio AT wuqihui statetransitionprobabilitybasedsensingdurationoptimizationalgorithmincognitiveradio |