Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication
The present study proposes a new algorithm for device-to-device (D2D) user density identification in a 5G network based on resource allocation. The method initially established a multiobjective optimization function that calculates system throughput and quality of service (QoS) of D2D users. The opt...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/8147289 |
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| _version_ | 1832552819066929152 |
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| author | Yao Zhang Zhongliang Deng Aihua Hu |
| author_facet | Yao Zhang Zhongliang Deng Aihua Hu |
| author_sort | Yao Zhang |
| collection | DOAJ |
| description | The present study proposes a new algorithm for device-to-device (D2D) user density identification in a 5G network based on resource allocation. The method initially established a multiobjective optimization function that calculates system throughput and quality of service (QoS) of D2D users. The optimal resource allocation result of the multiobjective function is obtained via the improved whale optimization algorithm (IWOA). System throughput after resource allocation exhibits a linear relationship with the number of users. Therefore, the D2D user density areas are accurately identified via the throughput value. The simulation result reveals that the accuracy of D2D user density identification reaches 95%. |
| format | Article |
| id | doaj-art-f1bbce1acc364ca1b2a05bd4e6daefa9 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-f1bbce1acc364ca1b2a05bd4e6daefa92025-02-03T05:57:49ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/81472898147289Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device CommunicationYao Zhang0Zhongliang Deng1Aihua Hu2Beijing University of Posts and Communication, Beijing 100876, ChinaBeijing University of Posts and Communication, Beijing 100876, ChinaBeijing University of Posts and Communication, Beijing 100876, ChinaThe present study proposes a new algorithm for device-to-device (D2D) user density identification in a 5G network based on resource allocation. The method initially established a multiobjective optimization function that calculates system throughput and quality of service (QoS) of D2D users. The optimal resource allocation result of the multiobjective function is obtained via the improved whale optimization algorithm (IWOA). System throughput after resource allocation exhibits a linear relationship with the number of users. Therefore, the D2D user density areas are accurately identified via the throughput value. The simulation result reveals that the accuracy of D2D user density identification reaches 95%.http://dx.doi.org/10.1155/2019/8147289 |
| spellingShingle | Yao Zhang Zhongliang Deng Aihua Hu Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication Complexity |
| title | Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication |
| title_full | Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication |
| title_fullStr | Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication |
| title_full_unstemmed | Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication |
| title_short | Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication |
| title_sort | study on the user density identification via improved whale optimization algorithm in device to device communication |
| url | http://dx.doi.org/10.1155/2019/8147289 |
| work_keys_str_mv | AT yaozhang studyontheuserdensityidentificationviaimprovedwhaleoptimizationalgorithmindevicetodevicecommunication AT zhongliangdeng studyontheuserdensityidentificationviaimprovedwhaleoptimizationalgorithmindevicetodevicecommunication AT aihuahu studyontheuserdensityidentificationviaimprovedwhaleoptimizationalgorithmindevicetodevicecommunication |