Network-assisted optimal rate control methods in cognitive networks
Orienting the multi-rate cognitive networks,overcoming the typical characteristics of dynamics to implement the autonomy and rationality of rate control,first the rate control framework based on the presented improved IEEE 1900.4 architecture was proposed.Meanwhile,different scaled rate control sche...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.015/ |
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| _version_ | 1841539799391928320 |
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| author | Chun-gang YANG Min SHENG Yan-jie DONG Jian-dong LI Hong-yan LI Qin LIU |
| author_facet | Chun-gang YANG Min SHENG Yan-jie DONG Jian-dong LI Hong-yan LI Qin LIU |
| author_sort | Chun-gang YANG |
| collection | DOAJ |
| description | Orienting the multi-rate cognitive networks,overcoming the typical characteristics of dynamics to implement the autonomy and rationality of rate control,first the rate control framework based on the presented improved IEEE 1900.4 architecture was proposed.Meanwhile,different scaled rate control schemes on different levels were investigated.Then,the real-time rate control problem on the terminal we concentrate on.Most importantly,both the distributed rate selection of TRM towards RNRM and the centralized rate allocation of RNRM to TRM were investigated.Simulation results show that the latter can achieve 60% utility and certain fairness improvements,in addition,the rationality and fairness guaranteed by the newly-built pricing function is verified. |
| format | Article |
| id | doaj-art-3e700f6d955a40b2a0db9b884f6a9684 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-3e700f6d955a40b2a0db9b884f6a96842025-01-14T06:35:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-05-013412613559672243Network-assisted optimal rate control methods in cognitive networksChun-gang YANGMin SHENGYan-jie DONGJian-dong LIHong-yan LIQin LIUOrienting the multi-rate cognitive networks,overcoming the typical characteristics of dynamics to implement the autonomy and rationality of rate control,first the rate control framework based on the presented improved IEEE 1900.4 architecture was proposed.Meanwhile,different scaled rate control schemes on different levels were investigated.Then,the real-time rate control problem on the terminal we concentrate on.Most importantly,both the distributed rate selection of TRM towards RNRM and the centralized rate allocation of RNRM to TRM were investigated.Simulation results show that the latter can achieve 60% utility and certain fairness improvements,in addition,the rationality and fairness guaranteed by the newly-built pricing function is verified.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.015/cognitive networksrate controlgame theoryIEEE 1900.4 |
| spellingShingle | Chun-gang YANG Min SHENG Yan-jie DONG Jian-dong LI Hong-yan LI Qin LIU Network-assisted optimal rate control methods in cognitive networks Tongxin xuebao cognitive networks rate control game theory IEEE 1900.4 |
| title | Network-assisted optimal rate control methods in cognitive networks |
| title_full | Network-assisted optimal rate control methods in cognitive networks |
| title_fullStr | Network-assisted optimal rate control methods in cognitive networks |
| title_full_unstemmed | Network-assisted optimal rate control methods in cognitive networks |
| title_short | Network-assisted optimal rate control methods in cognitive networks |
| title_sort | network assisted optimal rate control methods in cognitive networks |
| topic | cognitive networks rate control game theory IEEE 1900.4 |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.015/ |
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