QoS-aware tactical power control for 5G networks

Hajar El Hammouti, Essaid Sabir, Tembine Hamidou

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

Abstract

Small-Cells are deployed in order to enhance the network performance by bringing the network closer to the user. However, as the number of low power nodes grows increasingly, the overall energy consumption of the Small-Cells base stations cannot be ignored. A relevant amount of energy could be saved through several techniques, especially power control mechanisms. In this paper, we are concerned with energy-aware self-organizing networks that guarantee a satisfactory performance. We consider satisfaction equilibria, mainly the efficient satisfaction equilibrium (ESE), to ensure a target quality of service (QoS) and save energy. First, we identify conditions of existence and uniqueness of ESE under a stationary channel assumption. We fully characterize the ESE and prove that, whenever it exists, it is a solution of a linear system. Moreover, we define satisfactory Pareto optimality and show that, at the ESE, no player can increase its QoS without degrading the overall performance. Finally, in order to reach the ESE and the maximum network capacity, we propose a fully distributed scheme based on the Banach-Picard algorithm and show, through simulation results, its qualitative properties.

Original languageEnglish (US)
Title of host publicationUbiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers
PublisherSpringer-Verlag
Pages25-37
Number of pages13
ISBN (Print)9783319681788
DOIs
StatePublished - Jan 1 2017
Event3rd International Symposium on Ubiquitous Networking, UNet 2017 - Casablance, Morocco
Duration: May 9 2017May 12 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10542 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Symposium on Ubiquitous Networking, UNet 2017
CountryMorocco
CityCasablance
Period5/9/175/12/17

Fingerprint

Power Control
Power control
Quality of Service
Quality of service
Network performance
Base stations
Linear systems
Energy utilization
Energy
Pareto Optimality
Qualitative Properties
Cell
Network Performance
Self-organizing
Stefan Banach
Energy Consumption
Existence and Uniqueness
Linear Systems
Target
Vertex of a graph

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

El Hammouti, H., Sabir, E., & Hamidou, T. (2017). QoS-aware tactical power control for 5G networks. In Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers (pp. 25-37). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10542 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-68179-5_3

QoS-aware tactical power control for 5G networks. / El Hammouti, Hajar; Sabir, Essaid; Hamidou, Tembine.

Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers. Springer-Verlag, 2017. p. 25-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10542 LNCS).

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

El Hammouti, H, Sabir, E & Hamidou, T 2017, QoS-aware tactical power control for 5G networks. in Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10542 LNCS, Springer-Verlag, pp. 25-37, 3rd International Symposium on Ubiquitous Networking, UNet 2017, Casablance, Morocco, 5/9/17. https://doi.org/10.1007/978-3-319-68179-5_3
El Hammouti H, Sabir E, Hamidou T. QoS-aware tactical power control for 5G networks. In Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers. Springer-Verlag. 2017. p. 25-37. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-68179-5_3
El Hammouti, Hajar ; Sabir, Essaid ; Hamidou, Tembine. / QoS-aware tactical power control for 5G networks. Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers. Springer-Verlag, 2017. pp. 25-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{4e88f3719d9f495e86638516fcc3d89c,
title = "QoS-aware tactical power control for 5G networks",
abstract = "Small-Cells are deployed in order to enhance the network performance by bringing the network closer to the user. However, as the number of low power nodes grows increasingly, the overall energy consumption of the Small-Cells base stations cannot be ignored. A relevant amount of energy could be saved through several techniques, especially power control mechanisms. In this paper, we are concerned with energy-aware self-organizing networks that guarantee a satisfactory performance. We consider satisfaction equilibria, mainly the efficient satisfaction equilibrium (ESE), to ensure a target quality of service (QoS) and save energy. First, we identify conditions of existence and uniqueness of ESE under a stationary channel assumption. We fully characterize the ESE and prove that, whenever it exists, it is a solution of a linear system. Moreover, we define satisfactory Pareto optimality and show that, at the ESE, no player can increase its QoS without degrading the overall performance. Finally, in order to reach the ESE and the maximum network capacity, we propose a fully distributed scheme based on the Banach-Picard algorithm and show, through simulation results, its qualitative properties.",
author = "{El Hammouti}, Hajar and Essaid Sabir and Tembine Hamidou",
year = "2017",
month = "1",
day = "1",
doi = "10.1007/978-3-319-68179-5_3",
language = "English (US)",
isbn = "9783319681788",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "25--37",
booktitle = "Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers",

}

TY - GEN

T1 - QoS-aware tactical power control for 5G networks

AU - El Hammouti, Hajar

AU - Sabir, Essaid

AU - Hamidou, Tembine

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Small-Cells are deployed in order to enhance the network performance by bringing the network closer to the user. However, as the number of low power nodes grows increasingly, the overall energy consumption of the Small-Cells base stations cannot be ignored. A relevant amount of energy could be saved through several techniques, especially power control mechanisms. In this paper, we are concerned with energy-aware self-organizing networks that guarantee a satisfactory performance. We consider satisfaction equilibria, mainly the efficient satisfaction equilibrium (ESE), to ensure a target quality of service (QoS) and save energy. First, we identify conditions of existence and uniqueness of ESE under a stationary channel assumption. We fully characterize the ESE and prove that, whenever it exists, it is a solution of a linear system. Moreover, we define satisfactory Pareto optimality and show that, at the ESE, no player can increase its QoS without degrading the overall performance. Finally, in order to reach the ESE and the maximum network capacity, we propose a fully distributed scheme based on the Banach-Picard algorithm and show, through simulation results, its qualitative properties.

AB - Small-Cells are deployed in order to enhance the network performance by bringing the network closer to the user. However, as the number of low power nodes grows increasingly, the overall energy consumption of the Small-Cells base stations cannot be ignored. A relevant amount of energy could be saved through several techniques, especially power control mechanisms. In this paper, we are concerned with energy-aware self-organizing networks that guarantee a satisfactory performance. We consider satisfaction equilibria, mainly the efficient satisfaction equilibrium (ESE), to ensure a target quality of service (QoS) and save energy. First, we identify conditions of existence and uniqueness of ESE under a stationary channel assumption. We fully characterize the ESE and prove that, whenever it exists, it is a solution of a linear system. Moreover, we define satisfactory Pareto optimality and show that, at the ESE, no player can increase its QoS without degrading the overall performance. Finally, in order to reach the ESE and the maximum network capacity, we propose a fully distributed scheme based on the Banach-Picard algorithm and show, through simulation results, its qualitative properties.

UR - http://www.scopus.com/inward/record.url?scp=85034600993&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034600993&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-68179-5_3

DO - 10.1007/978-3-319-68179-5_3

M3 - Conference contribution

AN - SCOPUS:85034600993

SN - 9783319681788

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 25

EP - 37

BT - Ubiquitous Networking -3rd International Symposium, UNet 2017, Revised Selected Papers

PB - Springer-Verlag

ER -