Energy efficiency analysis of broadcast and communication converged network
A novel system model and energy efficiency analysis method were studied to solve the problem of the per-formance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.021/ |
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| _version_ | 1841539715193372672 |
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| author | Cheng-jie SHEN Yun RUI Guo-ming QIAN Fei HUANG Ming-qi LI |
| author_facet | Cheng-jie SHEN Yun RUI Guo-ming QIAN Fei HUANG Ming-qi LI |
| author_sort | Cheng-jie SHEN |
| collection | DOAJ |
| description | A novel system model and energy efficiency analysis method were studied to solve the problem of the per-formance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based on the random spatial network model, cellular base stations and users were modeled as two independent spatial Poisson point processes (PPP), while the broad-cast tower was assumed to locate in the center of service regions. By further exploiting the coverage of broadcast network and the outage probability of cellular network, the closed-form expression of the converged network energy efficiency (EE) was derived, and the impact of popular business probability to the energy efficiency was discussed. Simulation re-sults show that assuming the mentioned converged system model and the general density of BS and user, the energy effi-ciency of converged network would be significantly improved compared to pure cellular network when the probability of popular businesses is more than 5%. The novel model and energy efficiency analysis method provide the foundation for the study of the overall performance of the converged network. |
| format | Article |
| id | doaj-art-28336d510ea843ee933f9a8bb26a32d0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-28336d510ea843ee933f9a8bb26a32d02025-01-14T06:43:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-05-0135116959681744Energy efficiency analysis of broadcast and communication converged networkCheng-jie SHENYun RUIGuo-ming QIANFei HUANGMing-qi LIA novel system model and energy efficiency analysis method were studied to solve the problem of the per-formance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based on the random spatial network model, cellular base stations and users were modeled as two independent spatial Poisson point processes (PPP), while the broad-cast tower was assumed to locate in the center of service regions. By further exploiting the coverage of broadcast network and the outage probability of cellular network, the closed-form expression of the converged network energy efficiency (EE) was derived, and the impact of popular business probability to the energy efficiency was discussed. Simulation re-sults show that assuming the mentioned converged system model and the general density of BS and user, the energy effi-ciency of converged network would be significantly improved compared to pure cellular network when the probability of popular businesses is more than 5%. The novel model and energy efficiency analysis method provide the foundation for the study of the overall performance of the converged network.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.021/converged networkenergy efficiencyPoisson point processpopular business |
| spellingShingle | Cheng-jie SHEN Yun RUI Guo-ming QIAN Fei HUANG Ming-qi LI Energy efficiency analysis of broadcast and communication converged network Tongxin xuebao converged network energy efficiency Poisson point process popular business |
| title | Energy efficiency analysis of broadcast and communication converged network |
| title_full | Energy efficiency analysis of broadcast and communication converged network |
| title_fullStr | Energy efficiency analysis of broadcast and communication converged network |
| title_full_unstemmed | Energy efficiency analysis of broadcast and communication converged network |
| title_short | Energy efficiency analysis of broadcast and communication converged network |
| title_sort | energy efficiency analysis of broadcast and communication converged network |
| topic | converged network energy efficiency Poisson point process popular business |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.021/ |
| work_keys_str_mv | AT chengjieshen energyefficiencyanalysisofbroadcastandcommunicationconvergednetwork AT yunrui energyefficiencyanalysisofbroadcastandcommunicationconvergednetwork AT guomingqian energyefficiencyanalysisofbroadcastandcommunicationconvergednetwork AT feihuang energyefficiencyanalysisofbroadcastandcommunicationconvergednetwork AT mingqili energyefficiencyanalysisofbroadcastandcommunicationconvergednetwork |