Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks

Chiapin Wang; Ming Hsun Wu; Te Sheng Tsai

doi:10.1007/978-3-030-00557-3_64

Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks

Chiapin Wang^*, Ming Hsun Wu, Te Sheng Tsai

^*此作品的通信作者

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章

1 引文斯高帕斯（Scopus）

摘要

In this paper, we present a particle swarm optimization based location recommendation scheme (PSO-LR) for Device-to-Device (D2D) Communication underlying Long Term Evolution (LTE) cellular networks. The proposed scheme enables D2D users to move to new locations which provide better link qualities and a higher system capacity. Also, it can balance resource allocation between cellular users and D2D users. The simulation results illustrate that the proposed PSO-LR scheme can effectively improve the total system capacity by location recommendation for D2D users, and reduce both the distance and time of location recommendation by comparison with other location recommendation scheme [11].

原文	英語
主出版物標題	Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings
編輯	Limin Meng, Yan Zhang
發行者	Springer Verlag
頁面	641-651
頁數	11
ISBN（列印）	9783030005566
DOIs	https://doi.org/10.1007/978-3-030-00557-3_64
出版狀態	已發佈 - 2018
事件	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 - Hangzhou, 中国持續時間: 2018 7月 6 → 2018 7月 8

出版系列

名字	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
卷	251
ISSN（列印）	1867-8211

其他

其他	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018
國家/地區	中国
城市	Hangzhou
期間	2018/07/06 → 2018/07/08

ASJC Scopus subject areas

電腦網路與通信

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10.1007/978-3-030-00557-3_64

其它文件與鏈接

引用此

Wang, C., Wu, M. H., & Tsai, T. S. (2018). Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks. 於 L. Meng, & Y. Zhang (編輯), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings (頁 641-651). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 251). Springer Verlag. https://doi.org/10.1007/978-3-030-00557-3_64

Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks. / Wang, Chiapin; Wu, Ming Hsun; Tsai, Te Sheng.
Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. 編輯 / Limin Meng; Yan Zhang. Springer Verlag, 2018. p. 641-651 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 251).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Wang, C, Wu, MH & Tsai, TS 2018, Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks. 於 L Meng & Y Zhang (編輯), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 卷 251, Springer Verlag, 頁 641-651, 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, Hangzhou, 中国, 2018/07/06. https://doi.org/10.1007/978-3-030-00557-3_64

Wang C, Wu MH, Tsai TS. Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks. 於 Meng L, Zhang Y, 編輯, Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Springer Verlag. 2018. p. 641-651. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-00557-3_64

Wang, Chiapin ; Wu, Ming Hsun ; Tsai, Te Sheng. / Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks. Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. 編輯 / Limin Meng ; Yan Zhang. Springer Verlag, 2018. 頁 641-651 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks",

abstract = "In this paper, we present a particle swarm optimization based location recommendation scheme (PSO-LR) for Device-to-Device (D2D) Communication underlying Long Term Evolution (LTE) cellular networks. The proposed scheme enables D2D users to move to new locations which provide better link qualities and a higher system capacity. Also, it can balance resource allocation between cellular users and D2D users. The simulation results illustrate that the proposed PSO-LR scheme can effectively improve the total system capacity by location recommendation for D2D users, and reduce both the distance and time of location recommendation by comparison with other location recommendation scheme [11].",

keywords = "3GPP Long Term Evolution (LTE), Device-to-Device (D2D) communication, Interference mitigation",

author = "Chiapin Wang and Wu, {Ming Hsun} and Tsai, {Te Sheng}",

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AU - Wang, Chiapin

AU - Wu, Ming Hsun

AU - Tsai, Te Sheng

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

PY - 2018

Y1 - 2018

N2 - In this paper, we present a particle swarm optimization based location recommendation scheme (PSO-LR) for Device-to-Device (D2D) Communication underlying Long Term Evolution (LTE) cellular networks. The proposed scheme enables D2D users to move to new locations which provide better link qualities and a higher system capacity. Also, it can balance resource allocation between cellular users and D2D users. The simulation results illustrate that the proposed PSO-LR scheme can effectively improve the total system capacity by location recommendation for D2D users, and reduce both the distance and time of location recommendation by comparison with other location recommendation scheme [11].

AB - In this paper, we present a particle swarm optimization based location recommendation scheme (PSO-LR) for Device-to-Device (D2D) Communication underlying Long Term Evolution (LTE) cellular networks. The proposed scheme enables D2D users to move to new locations which provide better link qualities and a higher system capacity. Also, it can balance resource allocation between cellular users and D2D users. The simulation results illustrate that the proposed PSO-LR scheme can effectively improve the total system capacity by location recommendation for D2D users, and reduce both the distance and time of location recommendation by comparison with other location recommendation scheme [11].

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Particle swarm optimization based location recommendation for D2D communication underlying LTE cellular networks

摘要

出版系列

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ASJC Scopus subject areas

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指紋

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