Home > Research > Publications & Outputs > Energy-Efficient and Load-Proportional eNodeB f...

Associated organisational unit

Electronic data

  • VTM_Mag

    Rights statement: ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Accepted author manuscript, 11 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks: A Multilevel Sleep Strategy Mechanism

Research output: Contribution to journalJournal article

Published

Standard

Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks : A Multilevel Sleep Strategy Mechanism. / Pervaiz, Haris; Onireti, Oluwakayode; Mohamed, Abdelrahim; Imran, Muhammad Ali; Tafazolli, Rahim; Ni, Qiang.

In: IEEE Vehicular Technology Magazine, Vol. 13, No. 4, 01.12.2018, p. 51-59.

Research output: Contribution to journalJournal article

Harvard

Pervaiz, H, Onireti, O, Mohamed, A, Imran, MA, Tafazolli, R & Ni, Q 2018, 'Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks: A Multilevel Sleep Strategy Mechanism', IEEE Vehicular Technology Magazine, vol. 13, no. 4, pp. 51-59. https://doi.org/10.1109/MVT.2018.2871740

APA

Pervaiz, H., Onireti, O., Mohamed, A., Imran, M. A., Tafazolli, R., & Ni, Q. (2018). Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks: A Multilevel Sleep Strategy Mechanism. IEEE Vehicular Technology Magazine, 13(4), 51-59. https://doi.org/10.1109/MVT.2018.2871740

Vancouver

Author

Pervaiz, Haris ; Onireti, Oluwakayode ; Mohamed, Abdelrahim ; Imran, Muhammad Ali ; Tafazolli, Rahim ; Ni, Qiang. / Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks : A Multilevel Sleep Strategy Mechanism. In: IEEE Vehicular Technology Magazine. 2018 ; Vol. 13, No. 4. pp. 51-59.

Bibtex

@article{b772e49d90a241b6a6a7eb57e1c5fb95,
title = "Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks: A Multilevel Sleep Strategy Mechanism",
abstract = "Today, dense network deployment is being considered as one of the effective strategies to meet the capacity and connectivity demands of the fifth-generation (5G) cellular system. Among several challenges, energy consumption will be a critical consideration in the 5G era. In this direction, base station (BS) on/off operation (sleep mode) is an effective technique for mitigating the excessive energy consumption in ultradense cellular networks. However, the current implementation of this technique is unsuitable for dynamic networks with fluctuating traffic profiles because of coverage constraints, quality-of-service (QoS) requirements, and hardware switching latency. To address this, we propose an energy/load proportional approach for 5G BSs with control/data plane separation. The proposed approach depends on a multistep sleep mode profiling and predicts the BS vacation time in advance. Such a prediction enables selecting the best sleep mode strategy while minimizing the effect of BS activation/reactivation latency, resulting in significant energy savings.",
author = "Haris Pervaiz and Oluwakayode Onireti and Abdelrahim Mohamed and Imran, {Muhammad Ali} and Rahim Tafazolli and Qiang Ni",
note = "{\circledC}2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE",
year = "2018",
month = "12",
day = "1",
doi = "10.1109/MVT.2018.2871740",
language = "English",
volume = "13",
pages = "51--59",
journal = "IEEE Vehicular Technology Magazine",
issn = "1556-6072",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Energy-Efficient and Load-Proportional eNodeB for 5G User-Centric Networks

T2 - A Multilevel Sleep Strategy Mechanism

AU - Pervaiz, Haris

AU - Onireti, Oluwakayode

AU - Mohamed, Abdelrahim

AU - Imran, Muhammad Ali

AU - Tafazolli, Rahim

AU - Ni, Qiang

N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Today, dense network deployment is being considered as one of the effective strategies to meet the capacity and connectivity demands of the fifth-generation (5G) cellular system. Among several challenges, energy consumption will be a critical consideration in the 5G era. In this direction, base station (BS) on/off operation (sleep mode) is an effective technique for mitigating the excessive energy consumption in ultradense cellular networks. However, the current implementation of this technique is unsuitable for dynamic networks with fluctuating traffic profiles because of coverage constraints, quality-of-service (QoS) requirements, and hardware switching latency. To address this, we propose an energy/load proportional approach for 5G BSs with control/data plane separation. The proposed approach depends on a multistep sleep mode profiling and predicts the BS vacation time in advance. Such a prediction enables selecting the best sleep mode strategy while minimizing the effect of BS activation/reactivation latency, resulting in significant energy savings.

AB - Today, dense network deployment is being considered as one of the effective strategies to meet the capacity and connectivity demands of the fifth-generation (5G) cellular system. Among several challenges, energy consumption will be a critical consideration in the 5G era. In this direction, base station (BS) on/off operation (sleep mode) is an effective technique for mitigating the excessive energy consumption in ultradense cellular networks. However, the current implementation of this technique is unsuitable for dynamic networks with fluctuating traffic profiles because of coverage constraints, quality-of-service (QoS) requirements, and hardware switching latency. To address this, we propose an energy/load proportional approach for 5G BSs with control/data plane separation. The proposed approach depends on a multistep sleep mode profiling and predicts the BS vacation time in advance. Such a prediction enables selecting the best sleep mode strategy while minimizing the effect of BS activation/reactivation latency, resulting in significant energy savings.

U2 - 10.1109/MVT.2018.2871740

DO - 10.1109/MVT.2018.2871740

M3 - Journal article

VL - 13

SP - 51

EP - 59

JO - IEEE Vehicular Technology Magazine

JF - IEEE Vehicular Technology Magazine

SN - 1556-6072

IS - 4

ER -