Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication
Joint Authors
Deng, Zhongliang
Zhang, Yao
Hu, Aihua
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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%.
American Psychological Association (APA)
Zhang, Yao& Deng, Zhongliang& Hu, Aihua. 2019. Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication. Complexity،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1132835
Modern Language Association (MLA)
Zhang, Yao…[et al.]. Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication. Complexity No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1132835
American Medical Association (AMA)
Zhang, Yao& Deng, Zhongliang& Hu, Aihua. Study on the User Density Identification via Improved Whale Optimization Algorithm in Device-to-Device Communication. Complexity. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1132835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132835
