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

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
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 七月 62018 七月 8

出版系列

名字Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
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2018/07/062018/07/08

ASJC Scopus subject areas

  • 電腦網路與通信

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