Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective

Mine Ardanuc; Mehmet Basaran; Yassine Hmamouche; Lutfiye Durak-Ata; Halim Yanikomeroglu

doi:10.1109/OJVT.2023.3269890

Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective

Mine Ardanuc, Mehmet Basaran^*, Yassine Hmamouche, Lutfiye Durak-Ata, Halim Yanikomeroglu

^*Corresponding author for this work

Informatics Institute

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In this paper, we present the energy efficiency (EE) analysis of a multi-tier cellular network, where intra- and inter-tier dependence in the base station (BS) locations are captured via point processes, i.e., three variants of hard-core point processes (HCPPs) and the Poisson hole process (PHP). The analytical expression for EE is derived by approximating both the average power consumption of BSs and the coverage probability using an approximate signal-to-interference ratio analysis based on the Poisson point process (PPP). It is demonstrated that the proposed Matérn HCPP Type-I-PHP model provides better EE results compared to the other HCPP-PHP and PPP models.

Original language	English
Pages (from-to)	438-443
Number of pages	6
Journal	IEEE Open Journal of Vehicular Technology
Volume	4
DOIs	https://doi.org/10.1109/OJVT.2023.3269890
Publication status	Published - 2023

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

This work was supported in part by Istanbul Technical University Scientific Research Projects Coordination Unit under Grant MDK-2022-43765, in part by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 120E307 and in part by TUBITAK 1515 Frontier RandD Laboratories Support Program for Turkcell 6GEN LAB under Grant 5229902. The work of Halim Yanikomeroglu was supported by the Discovery Grant Program of the Natural Sciences and Engineering Research Council of Canada (NSERC).

Funders	Funder number
Istanbul Technical University Scientific Research Projects Coordination Unit	MDK-2022-43765
TUBITAK 1515 Frontier	5229902
Natural Sciences and Engineering Research Council of Canada
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu	120E307

Keywords

Area spectral efficiency
Poisson hole process
energy efficiency
hard-core point processes
heterogeneous networks
stochastic geometry

Access to Document

10.1109/OJVT.2023.3269890

Cite this

@article{bd69ca12d45f4ce8a1b096bea61cccde,

title = "Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective",

abstract = "In this paper, we present the energy efficiency (EE) analysis of a multi-tier cellular network, where intra- and inter-tier dependence in the base station (BS) locations are captured via point processes, i.e., three variants of hard-core point processes (HCPPs) and the Poisson hole process (PHP). The analytical expression for EE is derived by approximating both the average power consumption of BSs and the coverage probability using an approximate signal-to-interference ratio analysis based on the Poisson point process (PPP). It is demonstrated that the proposed Mat{\'e}rn HCPP Type-I-PHP model provides better EE results compared to the other HCPP-PHP and PPP models.",

keywords = "Area spectral efficiency, Poisson hole process, energy efficiency, hard-core point processes, heterogeneous networks, stochastic geometry",

author = "Mine Ardanuc and Mehmet Basaran and Yassine Hmamouche and Lutfiye Durak-Ata and Halim Yanikomeroglu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",

year = "2023",

doi = "10.1109/OJVT.2023.3269890",

language = "English",

volume = "4",

pages = "438--443",

journal = "IEEE Open Journal of Vehicular Technology",

issn = "2644-1330",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Energy Efficiency Analysis in Heterogeneous Networks

T2 - A Stochastic Geometry Perspective

AU - Ardanuc, Mine

AU - Basaran, Mehmet

AU - Hmamouche, Yassine

AU - Durak-Ata, Lutfiye

AU - Yanikomeroglu, Halim

PY - 2023

Y1 - 2023

N2 - In this paper, we present the energy efficiency (EE) analysis of a multi-tier cellular network, where intra- and inter-tier dependence in the base station (BS) locations are captured via point processes, i.e., three variants of hard-core point processes (HCPPs) and the Poisson hole process (PHP). The analytical expression for EE is derived by approximating both the average power consumption of BSs and the coverage probability using an approximate signal-to-interference ratio analysis based on the Poisson point process (PPP). It is demonstrated that the proposed Matérn HCPP Type-I-PHP model provides better EE results compared to the other HCPP-PHP and PPP models.

AB - In this paper, we present the energy efficiency (EE) analysis of a multi-tier cellular network, where intra- and inter-tier dependence in the base station (BS) locations are captured via point processes, i.e., three variants of hard-core point processes (HCPPs) and the Poisson hole process (PHP). The analytical expression for EE is derived by approximating both the average power consumption of BSs and the coverage probability using an approximate signal-to-interference ratio analysis based on the Poisson point process (PPP). It is demonstrated that the proposed Matérn HCPP Type-I-PHP model provides better EE results compared to the other HCPP-PHP and PPP models.

KW - Area spectral efficiency

KW - Poisson hole process

KW - energy efficiency

KW - hard-core point processes

KW - heterogeneous networks

KW - stochastic geometry

UR - https://www.scopus.com/pages/publications/85159839797

U2 - 10.1109/OJVT.2023.3269890

DO - 10.1109/OJVT.2023.3269890

M3 - Article

AN - SCOPUS:85159839797

SN - 2644-1330

VL - 4

SP - 438

EP - 443

JO - IEEE Open Journal of Vehicular Technology

JF - IEEE Open Journal of Vehicular Technology

ER -

Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective

Abstract

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this