Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control
As an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs)...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/215803 |
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| _version_ | 1832556924615262208 |
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| author | Xinyu Gu Xin Deng Qi Li Lin Zhang Wenyu Li |
| author_facet | Xinyu Gu Xin Deng Qi Li Lin Zhang Wenyu Li |
| author_sort | Xinyu Gu |
| collection | DOAJ |
| description | As an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs) are overlapped with macrocell. To increase the utilization of small cells generated by LPNs, cell range extension (CRE) is used to extend the coverage of the small cells by adding cell specific offset (CSO) to small cells during cell selection procedure. The value of CSO, however, needs to be set carefully. In this paper, the capacity of users in macrocells, users in small cells, and users in range extension areas is analyzed thoroughly in conditions with and without CRE. Based on the analysis, an adaptive CSO updating algorithm is proposed. The proposed algorithm updates the CSO value periodically by predicting the overall capacity and a new CSO value is selected which can give the optimal overall capacity. The proposed algorithm is evaluated by system-level simulations. Simulation results indicate that the proposed algorithm can ensure a nearly optimal performance in all tested traffic load situations. |
| format | Article |
| id | doaj-art-eb8c5f246dae41bb8ad805434c80740d |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-eb8c5f246dae41bb8ad805434c80740d2025-02-03T05:44:10ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/215803215803Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range ControlXinyu Gu0Xin Deng1Qi Li2Lin Zhang3Wenyu Li4Beijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing Key Lab of New Generation Broadband Wireless Mobile Communication Technology, Standard and Verification, China Academy of Telecommunication Research, Beijing 100191, ChinaAs an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs) are overlapped with macrocell. To increase the utilization of small cells generated by LPNs, cell range extension (CRE) is used to extend the coverage of the small cells by adding cell specific offset (CSO) to small cells during cell selection procedure. The value of CSO, however, needs to be set carefully. In this paper, the capacity of users in macrocells, users in small cells, and users in range extension areas is analyzed thoroughly in conditions with and without CRE. Based on the analysis, an adaptive CSO updating algorithm is proposed. The proposed algorithm updates the CSO value periodically by predicting the overall capacity and a new CSO value is selected which can give the optimal overall capacity. The proposed algorithm is evaluated by system-level simulations. Simulation results indicate that the proposed algorithm can ensure a nearly optimal performance in all tested traffic load situations.http://dx.doi.org/10.1155/2014/215803 |
| spellingShingle | Xinyu Gu Xin Deng Qi Li Lin Zhang Wenyu Li Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control International Journal of Antennas and Propagation |
| title | Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control |
| title_full | Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control |
| title_fullStr | Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control |
| title_full_unstemmed | Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control |
| title_short | Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control |
| title_sort | capacity analysis and optimization in heterogeneous network with adaptive cell range control |
| url | http://dx.doi.org/10.1155/2014/215803 |
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