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

Chiapin Wang, Ming Hsun Wu, Te Sheng Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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].

Original languageEnglish
Title of host publicationMachine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings
EditorsLimin Meng, Yan Zhang
PublisherSpringer Verlag
Pages641-651
Number of pages11
ISBN (Print)9783030005566
DOIs
Publication statusPublished - 2018 Jan 1
Event3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 - Hangzhou, China
Duration: 2018 Jul 62018 Jul 8

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume251
ISSN (Print)1867-8211

Other

Other3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018
CountryChina
CityHangzhou
Period18/7/618/7/8

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Keywords

  • 3GPP Long Term Evolution (LTE)
  • Device-to-Device (D2D) communication
  • Interference mitigation

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

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