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

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 net...

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Bibliographic Details
Published inBio-Inspired Information and Communications Technologies Vol. 403; pp. 15 - 25
Main Authors Tseng, Fan-Hsun, Chou, Li-Der, Chen, Chi-Yuan, Chao, Han-Chieh
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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ISBN9783030921620
303092162X
ISSN1867-8211
1867-822X
DOI10.1007/978-3-030-92163-7_2

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Summary: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.
ISBN:9783030921620
303092162X
ISSN:1867-8211
1867-822X
DOI:10.1007/978-3-030-92163-7_2