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

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings
Editors	Limin Meng, Yan Zhang
Publisher	Springer Verlag
Pages	641-651
Number of pages	11
ISBN (Print)	9783030005566
DOIs	https://doi.org/10.1007/978-3-030-00557-3_64
Publication status	Published - 2018
Event	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 - Hangzhou, China Duration: 2018 Jul 6 → 2018 Jul 8

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	251
ISSN (Print)	1867-8211

Other

Other	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018
Country/Territory	China
City	Hangzhou
Period	2018/07/06 → 2018/07/08

Keywords

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

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

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

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

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. ed. / Limin Meng; Yan Zhang. Springer Verlag, 2018. p. 641-651 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 251).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, C, Wu, MH & Tsai, TS 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. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 251, Springer Verlag, pp. 641-651, 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, Hangzhou, China, 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. In Meng L, Zhang Y, editors, 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. editor / Limin Meng ; Yan Zhang. Springer Verlag, 2018. pp. 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].

KW - 3GPP Long Term Evolution (LTE)

KW - Device-to-Device (D2D) communication

KW - Interference mitigation

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

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Keywords

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