End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model

Ali Riza Ekti, Muhammad Zeeshan Shakir, Erchin Serpedin, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Heterogeneous networks (HetNets) represent a promising solution for the next generation wireless networks (NGWNs), where many low power, low cost small-cells (e.g., fem-tocells) are planned to support the existing macrocell networks to reduce the over the air signaling and uplink power consumption, and thereby enhance the spectral efficiency compared to the macro-only network. In this context, the massive deployment of many lightly loaded small-cells is anticipated to increase the downlink power consumption of the HetNets. This paper investigates the end-to-end downlink power consumption of the HetNets, which consists of the power consumed by the macrocell and small-cell base stations and the backhaul to carry the traffic from the access to the core network. The downlink power consumption depends probabilistically on the population of the active mobile users in both the macrocell and small-cell networks such that the regulating factor is referred to as active user population factor (AUPF). A mathematical framework is presented to derive AUPF by assuming that the total population of active mobile users is a random variable and has a Binomial probability distribution. The number of active users and small-cells are calculated by the proposed probabilistic traffic model which assures the reduction in downlink power consumption since it now consists of the power consumption due to the base stations and backhaul for only the active population of mobile users. This model helps to evaluate the power consumption of HetNets. The simulations results indicate that AUPF and traffic load have significant impact on the downlink power consumption of HetNets.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1138-1142
Number of pages5
ISBN (Electronic)9781479930838
DOIs
Publication statusPublished - 10 Nov 2014
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Other

Other2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
CountryTurkey
CityIstanbul
Period6/4/149/4/14

Fingerprint

Electric power utilization
Heterogeneous networks
Base stations
Random variables
Probability distributions
Macros
Wireless networks
Air
Costs

Keywords

  • downlink power consumption
  • Heterogeneous networks
  • probability distributions
  • small-cells
  • traffic load

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ekti, A. R., Shakir, M. Z., Serpedin, E., & Qaraqe, K. (2014). End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 1138-1142). [6952289] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2014.6952289

End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model. / Ekti, Ali Riza; Shakir, Muhammad Zeeshan; Serpedin, Erchin; Qaraqe, Khalid.

IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1138-1142 6952289.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ekti, AR, Shakir, MZ, Serpedin, E & Qaraqe, K 2014, End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model. in IEEE Wireless Communications and Networking Conference, WCNC., 6952289, Institute of Electrical and Electronics Engineers Inc., pp. 1138-1142, 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, Turkey, 6/4/14. https://doi.org/10.1109/WCNC.2014.6952289
Ekti AR, Shakir MZ, Serpedin E, Qaraqe K. End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model. In IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1138-1142. 6952289 https://doi.org/10.1109/WCNC.2014.6952289
Ekti, Ali Riza ; Shakir, Muhammad Zeeshan ; Serpedin, Erchin ; Qaraqe, Khalid. / End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model. IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1138-1142
@inproceedings{96b970208e644a32ae8b344c6dbb23b8,
title = "End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model",
abstract = "Heterogeneous networks (HetNets) represent a promising solution for the next generation wireless networks (NGWNs), where many low power, low cost small-cells (e.g., fem-tocells) are planned to support the existing macrocell networks to reduce the over the air signaling and uplink power consumption, and thereby enhance the spectral efficiency compared to the macro-only network. In this context, the massive deployment of many lightly loaded small-cells is anticipated to increase the downlink power consumption of the HetNets. This paper investigates the end-to-end downlink power consumption of the HetNets, which consists of the power consumed by the macrocell and small-cell base stations and the backhaul to carry the traffic from the access to the core network. The downlink power consumption depends probabilistically on the population of the active mobile users in both the macrocell and small-cell networks such that the regulating factor is referred to as active user population factor (AUPF). A mathematical framework is presented to derive AUPF by assuming that the total population of active mobile users is a random variable and has a Binomial probability distribution. The number of active users and small-cells are calculated by the proposed probabilistic traffic model which assures the reduction in downlink power consumption since it now consists of the power consumption due to the base stations and backhaul for only the active population of mobile users. This model helps to evaluate the power consumption of HetNets. The simulations results indicate that AUPF and traffic load have significant impact on the downlink power consumption of HetNets.",
keywords = "downlink power consumption, Heterogeneous networks, probability distributions, small-cells, traffic load",
author = "Ekti, {Ali Riza} and Shakir, {Muhammad Zeeshan} and Erchin Serpedin and Khalid Qaraqe",
year = "2014",
month = "11",
day = "10",
doi = "10.1109/WCNC.2014.6952289",
language = "English",
pages = "1138--1142",
booktitle = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - End-to-end downlink power consumption of heterogeneous small-cell networks based on the probabilistic traffic model

AU - Ekti, Ali Riza

AU - Shakir, Muhammad Zeeshan

AU - Serpedin, Erchin

AU - Qaraqe, Khalid

PY - 2014/11/10

Y1 - 2014/11/10

N2 - Heterogeneous networks (HetNets) represent a promising solution for the next generation wireless networks (NGWNs), where many low power, low cost small-cells (e.g., fem-tocells) are planned to support the existing macrocell networks to reduce the over the air signaling and uplink power consumption, and thereby enhance the spectral efficiency compared to the macro-only network. In this context, the massive deployment of many lightly loaded small-cells is anticipated to increase the downlink power consumption of the HetNets. This paper investigates the end-to-end downlink power consumption of the HetNets, which consists of the power consumed by the macrocell and small-cell base stations and the backhaul to carry the traffic from the access to the core network. The downlink power consumption depends probabilistically on the population of the active mobile users in both the macrocell and small-cell networks such that the regulating factor is referred to as active user population factor (AUPF). A mathematical framework is presented to derive AUPF by assuming that the total population of active mobile users is a random variable and has a Binomial probability distribution. The number of active users and small-cells are calculated by the proposed probabilistic traffic model which assures the reduction in downlink power consumption since it now consists of the power consumption due to the base stations and backhaul for only the active population of mobile users. This model helps to evaluate the power consumption of HetNets. The simulations results indicate that AUPF and traffic load have significant impact on the downlink power consumption of HetNets.

AB - Heterogeneous networks (HetNets) represent a promising solution for the next generation wireless networks (NGWNs), where many low power, low cost small-cells (e.g., fem-tocells) are planned to support the existing macrocell networks to reduce the over the air signaling and uplink power consumption, and thereby enhance the spectral efficiency compared to the macro-only network. In this context, the massive deployment of many lightly loaded small-cells is anticipated to increase the downlink power consumption of the HetNets. This paper investigates the end-to-end downlink power consumption of the HetNets, which consists of the power consumed by the macrocell and small-cell base stations and the backhaul to carry the traffic from the access to the core network. The downlink power consumption depends probabilistically on the population of the active mobile users in both the macrocell and small-cell networks such that the regulating factor is referred to as active user population factor (AUPF). A mathematical framework is presented to derive AUPF by assuming that the total population of active mobile users is a random variable and has a Binomial probability distribution. The number of active users and small-cells are calculated by the proposed probabilistic traffic model which assures the reduction in downlink power consumption since it now consists of the power consumption due to the base stations and backhaul for only the active population of mobile users. This model helps to evaluate the power consumption of HetNets. The simulations results indicate that AUPF and traffic load have significant impact on the downlink power consumption of HetNets.

KW - downlink power consumption

KW - Heterogeneous networks

KW - probability distributions

KW - small-cells

KW - traffic load

UR - http://www.scopus.com/inward/record.url?scp=84912120285&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84912120285&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2014.6952289

DO - 10.1109/WCNC.2014.6952289

M3 - Conference contribution

AN - SCOPUS:84912120285

SP - 1138

EP - 1142

BT - IEEE Wireless Communications and Networking Conference, WCNC

PB - Institute of Electrical and Electronics Engineers Inc.

ER -