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Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets

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Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets. / Naqvi, Syed Ahsan Raza; Pervaiz, Haris; Hassan, Syed Ali; Musavian, Leila; Ni, Qiang; Imran, Muhammad Ali; Ge, Xiaohu; Tafazolli, Rahim.

In: IEEE Access, Vol. 6, 18.04.2018, p. 16611-16622.

Research output: Contribution to journalJournal article

Harvard

Naqvi, SAR, Pervaiz, H, Hassan, SA, Musavian, L, Ni, Q, Imran, MA, Ge, X & Tafazolli, R 2018, 'Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets', IEEE Access, vol. 6, pp. 16611-16622. https://doi.org/10.1109/ACCESS.2018.2817189

APA

Naqvi, S. A. R., Pervaiz, H., Hassan, S. A., Musavian, L., Ni, Q., Imran, M. A., Ge, X., & Tafazolli, R. (2018). Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets. IEEE Access, 6, 16611-16622. https://doi.org/10.1109/ACCESS.2018.2817189

Vancouver

Author

Naqvi, Syed Ahsan Raza ; Pervaiz, Haris ; Hassan, Syed Ali ; Musavian, Leila ; Ni, Qiang ; Imran, Muhammad Ali ; Ge, Xiaohu ; Tafazolli, Rahim. / Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets. In: IEEE Access. 2018 ; Vol. 6. pp. 16611-16622.

Bibtex

@article{d2201a3bbaa44e83a15587f04d47c564,
title = "Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets",
abstract = "Hybrid networks consisting of both millimeter wave (mmWave) and microwave (μW) capabilities are strongly contested for next generation cellular communications. A similar avenue of current research is device-to-device (D2D) communications, where users establish direct links with each other rather than using central base stations (BSs). However, a hybrid network, where D2D transmissions coexist, requires special attention in terms of efficient resource allocation. This paper investigates dynamic resource sharing between network entities in a downlink (DL) transmission scheme to maximize energy efficiency (EE) of the cellular users (CUs) served by either (μW) macrocells or mmWave small cells, while maintaining a minimum quality-of-service (QoS) for the D2D users. To address this problem, firstly a selfadaptive power control mechanism for the D2D pairs is formulated, subject to an interference threshold for the CUs while satisfying their minimum QoS level. Subsequently, a EE optimization problem, which is aimed at maximizing the EE for both CUs and D2D pairs, has been solved. Simulation results demonstrate the effectiveness of our proposed algorithm, which studies the inherent tradeoffs between system EE, system sum rate and outage probability for various QoS levels and varying density of D2D pairs and CUs.",
author = "Naqvi, {Syed Ahsan Raza} and Haris Pervaiz and Hassan, {Syed Ali} and Leila Musavian and Qiang Ni and Imran, {Muhammad Ali} and Xiaohu Ge and Rahim Tafazolli",
year = "2018",
month = apr
day = "18",
doi = "10.1109/ACCESS.2018.2817189",
language = "English",
volume = "6",
pages = "16611--16622",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Energy-Aware Radio Resource Management in D2D-Enabled Multi-Tier HetNets

AU - Naqvi, Syed Ahsan Raza

AU - Pervaiz, Haris

AU - Hassan, Syed Ali

AU - Musavian, Leila

AU - Ni, Qiang

AU - Imran, Muhammad Ali

AU - Ge, Xiaohu

AU - Tafazolli, Rahim

PY - 2018/4/18

Y1 - 2018/4/18

N2 - Hybrid networks consisting of both millimeter wave (mmWave) and microwave (μW) capabilities are strongly contested for next generation cellular communications. A similar avenue of current research is device-to-device (D2D) communications, where users establish direct links with each other rather than using central base stations (BSs). However, a hybrid network, where D2D transmissions coexist, requires special attention in terms of efficient resource allocation. This paper investigates dynamic resource sharing between network entities in a downlink (DL) transmission scheme to maximize energy efficiency (EE) of the cellular users (CUs) served by either (μW) macrocells or mmWave small cells, while maintaining a minimum quality-of-service (QoS) for the D2D users. To address this problem, firstly a selfadaptive power control mechanism for the D2D pairs is formulated, subject to an interference threshold for the CUs while satisfying their minimum QoS level. Subsequently, a EE optimization problem, which is aimed at maximizing the EE for both CUs and D2D pairs, has been solved. Simulation results demonstrate the effectiveness of our proposed algorithm, which studies the inherent tradeoffs between system EE, system sum rate and outage probability for various QoS levels and varying density of D2D pairs and CUs.

AB - Hybrid networks consisting of both millimeter wave (mmWave) and microwave (μW) capabilities are strongly contested for next generation cellular communications. A similar avenue of current research is device-to-device (D2D) communications, where users establish direct links with each other rather than using central base stations (BSs). However, a hybrid network, where D2D transmissions coexist, requires special attention in terms of efficient resource allocation. This paper investigates dynamic resource sharing between network entities in a downlink (DL) transmission scheme to maximize energy efficiency (EE) of the cellular users (CUs) served by either (μW) macrocells or mmWave small cells, while maintaining a minimum quality-of-service (QoS) for the D2D users. To address this problem, firstly a selfadaptive power control mechanism for the D2D pairs is formulated, subject to an interference threshold for the CUs while satisfying their minimum QoS level. Subsequently, a EE optimization problem, which is aimed at maximizing the EE for both CUs and D2D pairs, has been solved. Simulation results demonstrate the effectiveness of our proposed algorithm, which studies the inherent tradeoffs between system EE, system sum rate and outage probability for various QoS levels and varying density of D2D pairs and CUs.

U2 - 10.1109/ACCESS.2018.2817189

DO - 10.1109/ACCESS.2018.2817189

M3 - Journal article

VL - 6

SP - 16611

EP - 16622

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -