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 › peer-review

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
State	Published - 2021
Event	13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 - Virtual, Online Duration: 1 Sep 2021 → 2 Sep 2021

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	1/09/21 → 2/09/21

Keywords

Cost performance index
Network planning
Relay network
Restricted network topology
Signal-to-interference-plus-noise ratio
Small cell

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).

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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.",

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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, 1/09/21. 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 › peer-review

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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.

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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

Keywords

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Cite this