Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things
A Markov chain model with coverage classes as state variables was established to describe the dynamics of the coverage classes updating mechanism of narrow-band internet of things (NB-IoT).An optimization model to minimize average probability of access failure as well as average power consumption wa...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018228/ |
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| _version_ | 1841539408972480512 |
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| author | Xin JIAN Yuqin LIU Yixiao WEI Jian SONG Fang WANG Shu FU Xiaoheng TAN |
| author_facet | Xin JIAN Yuqin LIU Yixiao WEI Jian SONG Fang WANG Shu FU Xiaoheng TAN |
| author_sort | Xin JIAN |
| collection | DOAJ |
| description | A Markov chain model with coverage classes as state variables was established to describe the dynamics of the coverage classes updating mechanism of narrow-band internet of things (NB-IoT).An optimization model to minimize average probability of access failure as well as average power consumption was formulated,with which the effects of preamble repetition number,system load and global maximum transmission number on the optimal configuration of maximum transmission number of each coverage class was analyzed.Numerical analysis results show that the maximum transmission number of normal coverage and extended coverage have a great influence on the system performance and their value ranges should be set within[1,5]and[1,7]respectively.However,the maximum transmission number of extreme coverage has little influence on the system performance,its value could be any one in[1,10]but the recommended value is 1.In addition,the average power consumption of the model that introduced coverage classes’ rollback mechanism is about 95% lower than the model proposed by 3GPP. |
| format | Article |
| id | doaj-art-20c0cd7798f14d4aa7e29544c2c23c24 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-20c0cd7798f14d4aa7e29544c2c23c242025-01-14T07:15:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-11-0139707959721730Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of thingsXin JIANYuqin LIUYixiao WEIJian SONGFang WANGShu FUXiaoheng TANA Markov chain model with coverage classes as state variables was established to describe the dynamics of the coverage classes updating mechanism of narrow-band internet of things (NB-IoT).An optimization model to minimize average probability of access failure as well as average power consumption was formulated,with which the effects of preamble repetition number,system load and global maximum transmission number on the optimal configuration of maximum transmission number of each coverage class was analyzed.Numerical analysis results show that the maximum transmission number of normal coverage and extended coverage have a great influence on the system performance and their value ranges should be set within[1,5]and[1,7]respectively.However,the maximum transmission number of extreme coverage has little influence on the system performance,its value could be any one in[1,10]but the recommended value is 1.In addition,the average power consumption of the model that introduced coverage classes’ rollback mechanism is about 95% lower than the model proposed by 3GPP.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018228/NB-IoTrandom accesscoverage enhancementcoverage classesMarkov chain |
| spellingShingle | Xin JIAN Yuqin LIU Yixiao WEI Jian SONG Fang WANG Shu FU Xiaoheng TAN Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things Tongxin xuebao NB-IoT random access coverage enhancement coverage classes Markov chain |
| title | Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things |
| title_full | Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things |
| title_fullStr | Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things |
| title_full_unstemmed | Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things |
| title_short | Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things |
| title_sort | performance analysis and optimization for coverage classes updating mechanism of narrow band internet of things |
| topic | NB-IoT random access coverage enhancement coverage classes Markov chain |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018228/ |
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