An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology

Fan Hsun Tseng; Li Der Chou; Chi Yuan Chen; Han Chieh Chao

doi:10.1007/978-3-030-92163-7_2

An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology

Fan Hsun Tseng, Li Der Chou, Chi Yuan Chen, Han Chieh Chao

Department of Computer Science and Information Engineering

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

Abstract

The global COVID-19 pandemic leads people to intermittent quarantines and lockdowns. Many large and crowded gatherings were postponed or even cancelled to prevent social distance violation. The paper aims to tackle the placement problem of macro sites, microcells and picocells under a restricted network topology. The cell placement problem is defined based on linear programming. The algorithm named Cost Efficiency algorithm is proposed to construct a network with higher performance and lower cost. Simulation results showed that the proposed algorithm yields higher SINR value and more number of served users over construction cost compared with other planning algorithms. The result of this work is expected to help users have better network service quality when they are isolated in hospital or self-health monitoring at home.

Original language	English
Title of host publication	Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings
Editors	Tadashi Nakano
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	15-25
Number of pages	11
ISBN (Print)	9783030921620
DOIs	https://doi.org/10.1007/978-3-030-92163-7_2
Publication status	Published - 2021
Event	13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 - Virtual, Online Duration: 2021 Sept 1 → 2021 Sept 2

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	403 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021
City	Virtual, Online
Period	21-09-01 → 21-09-02

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1007/978-3-030-92163-7_2

Cite this

Tseng, F. H., Chou, L. D., Chen, C. Y., & Chao, H. C. (2021). An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology. In T. Nakano (Ed.), Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings (pp. 15-25). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 403 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-92163-7_2

Tseng, Fan Hsun ; Chou, Li Der ; Chen, Chi Yuan et al. / An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology. Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings. editor / Tadashi Nakano. Springer Science and Business Media Deutschland GmbH, 2021. pp. 15-25 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{3f471091089446e09bc61ba9563d32c7,

title = "An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology",

abstract = "The global COVID-19 pandemic leads people to intermittent quarantines and lockdowns. Many large and crowded gatherings were postponed or even cancelled to prevent social distance violation. The paper aims to tackle the placement problem of macro sites, microcells and picocells under a restricted network topology. The cell placement problem is defined based on linear programming. The algorithm named Cost Efficiency algorithm is proposed to construct a network with higher performance and lower cost. Simulation results showed that the proposed algorithm yields higher SINR value and more number of served users over construction cost compared with other planning algorithms. The result of this work is expected to help users have better network service quality when they are isolated in hospital or self-health monitoring at home.",

author = "Tseng, {Fan Hsun} and Chou, {Li Der} and Chen, {Chi Yuan} and Chao, {Han Chieh}",

note = "Funding Information: Acknowledgment. This work was financially supported from the Young Scholar Fellowship Program by Ministry of Science and Technology (MOST) in Taiwan, under Grant MOST109-2636-E-003-001, and was partly funded by the MOST in Taiwan, under grant MOST108-2221-E-008-033-MY3, MOST107-2221-E-197-005-MY3, and MOST 107-2221-E-259-005-MY3. Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 ; Conference date: 01-09-2021 Through 02-09-2021",

year = "2021",

doi = "10.1007/978-3-030-92163-7_2",

language = "English",

isbn = "9783030921620",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "15--25",

editor = "Tadashi Nakano",

booktitle = "Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings",

address = "Germany",

}

Tseng, FH, Chou, LD, Chen, CY & Chao, HC 2021, An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology. in T Nakano (ed.), Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 403 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 15-25, 13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021, Virtual, Online, 21-09-01. https://doi.org/10.1007/978-3-030-92163-7_2

An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology. / Tseng, Fan Hsun; Chou, Li Der; Chen, Chi Yuan et al.
Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings. ed. / Tadashi Nakano. Springer Science and Business Media Deutschland GmbH, 2021. p. 15-25 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 403 LNICST).

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

TY - GEN

T1 - An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology

AU - Tseng, Fan Hsun

AU - Chou, Li Der

AU - Chen, Chi Yuan

AU - Chao, Han Chieh

N1 - Funding Information: Acknowledgment. This work was financially supported from the Young Scholar Fellowship Program by Ministry of Science and Technology (MOST) in Taiwan, under Grant MOST109-2636-E-003-001, and was partly funded by the MOST in Taiwan, under grant MOST108-2221-E-008-033-MY3, MOST107-2221-E-197-005-MY3, and MOST 107-2221-E-259-005-MY3. Publisher Copyright: © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

PY - 2021

Y1 - 2021

N2 - The global COVID-19 pandemic leads people to intermittent quarantines and lockdowns. Many large and crowded gatherings were postponed or even cancelled to prevent social distance violation. The paper aims to tackle the placement problem of macro sites, microcells and picocells under a restricted network topology. The cell placement problem is defined based on linear programming. The algorithm named Cost Efficiency algorithm is proposed to construct a network with higher performance and lower cost. Simulation results showed that the proposed algorithm yields higher SINR value and more number of served users over construction cost compared with other planning algorithms. The result of this work is expected to help users have better network service quality when they are isolated in hospital or self-health monitoring at home.

AB - The global COVID-19 pandemic leads people to intermittent quarantines and lockdowns. Many large and crowded gatherings were postponed or even cancelled to prevent social distance violation. The paper aims to tackle the placement problem of macro sites, microcells and picocells under a restricted network topology. The cell placement problem is defined based on linear programming. The algorithm named Cost Efficiency algorithm is proposed to construct a network with higher performance and lower cost. Simulation results showed that the proposed algorithm yields higher SINR value and more number of served users over construction cost compared with other planning algorithms. The result of this work is expected to help users have better network service quality when they are isolated in hospital or self-health monitoring at home.

UR - http://www.scopus.com/inward/record.url?scp=85121865939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85121865939&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-92163-7_2

DO - 10.1007/978-3-030-92163-7_2

M3 - Conference contribution

AN - SCOPUS:85121865939

SN - 9783030921620

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 15

EP - 25

BT - Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings

A2 - Nakano, Tadashi

PB - Springer Science and Business Media Deutschland GmbH

T2 - 13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021

Y2 - 1 September 2021 through 2 September 2021

ER -

Tseng FH, Chou LD, Chen CY, Chao HC. An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology. In Nakano T, editor, Bio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 15-25. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-92163-7_2

An Efficient Cost Performance Placement of Macro Sites and Small Cells Under Restricted Topology

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this