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Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach

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Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach. / Raza, Syed Ahsan; Hassan, Syed Ali; Pervaiz, Haris Bin et al.
Globecom Workshops (GC Wkshps), 2016 IEEE. IEEE, 2016.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Raza, SA, Hassan, SA, Pervaiz, HB, Ni, Q & Musavian, L 2016, Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach. in Globecom Workshops (GC Wkshps), 2016 IEEE. IEEE, IEEE GLOBECOM 2016, Washington, United States, 4/12/16. https://doi.org/10.1109/GLOCOMW.2016.7849042

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Raza SA, Hassan SA, Pervaiz HB, Ni Q, Musavian L. Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach. In Globecom Workshops (GC Wkshps), 2016 IEEE. IEEE. 2016 doi: 10.1109/GLOCOMW.2016.7849042

Author

Raza, Syed Ahsan ; Hassan, Syed Ali ; Pervaiz, Haris Bin et al. / Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells : An Optimization Approach. Globecom Workshops (GC Wkshps), 2016 IEEE. IEEE, 2016.

Bibtex

@inproceedings{00ae93805ff74cc895b7475304a31d75,
title = "Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells: An Optimization Approach",
abstract = "Millimeter wave (mmWave) and Device-to-Device (D2D) communications have been considered as the key enablers of the next generation networks. We consider a D2D-enabled hybrid cellular network compromising of μW macro-cells coexisting with mmWave small cells. We investigate the dynamic resource sharing in downlink transmission to maximize the energy efficiency (EE) of the priority, or cellular users (CUs), that are opportunistically served by either macrocells or mmWave small cells, while satisfying a minimum quality-of-service (QoS) level for the D2D pairs. In order to solve this problem, we first formulate a self-adaptive power control mechanism for the D2D pairs subject to the interference threshold constraint set for the CUs, while maintaining its minimum QoS level. Subsequently, the original EE optimization problem, which aimed at maximizing the EE for both CUs and D2D pairs, has been broken up into two subproblems that manage the radio resource allocation for D2D pairs and maximize EE exclusively for CUs, in that order. We then propose an iterative algorithm to provide a near- optimal EE solution for CUs.",
author = "Raza, {Syed Ahsan} and Hassan, {Syed Ali} and Pervaiz, {Haris Bin} and Qiang Ni and Leila Musavian",
year = "2016",
month = dec,
day = "4",
doi = "10.1109/GLOCOMW.2016.7849042",
language = "English",
isbn = "9781509024834",
booktitle = "Globecom Workshops (GC Wkshps), 2016 IEEE",
publisher = "IEEE",
note = "IEEE GLOBECOM 2016 : Social Networks Track ; Conference date: 04-12-2016 Through 08-12-2016",
url = "http://globecom2016.ieee-globecom.org/content/call-symposium-papers",

}

RIS

TY - GEN

T1 - Self-Adaptive Power Control Mechanism in D2D Enabled Hybrid Cellular Network with mmWave Small Cells

T2 - IEEE GLOBECOM 2016

AU - Raza, Syed Ahsan

AU - Hassan, Syed Ali

AU - Pervaiz, Haris Bin

AU - Ni, Qiang

AU - Musavian, Leila

PY - 2016/12/4

Y1 - 2016/12/4

N2 - Millimeter wave (mmWave) and Device-to-Device (D2D) communications have been considered as the key enablers of the next generation networks. We consider a D2D-enabled hybrid cellular network compromising of μW macro-cells coexisting with mmWave small cells. We investigate the dynamic resource sharing in downlink transmission to maximize the energy efficiency (EE) of the priority, or cellular users (CUs), that are opportunistically served by either macrocells or mmWave small cells, while satisfying a minimum quality-of-service (QoS) level for the D2D pairs. In order to solve this problem, we first formulate a self-adaptive power control mechanism for the D2D pairs subject to the interference threshold constraint set for the CUs, while maintaining its minimum QoS level. Subsequently, the original EE optimization problem, which aimed at maximizing the EE for both CUs and D2D pairs, has been broken up into two subproblems that manage the radio resource allocation for D2D pairs and maximize EE exclusively for CUs, in that order. We then propose an iterative algorithm to provide a near- optimal EE solution for CUs.

AB - Millimeter wave (mmWave) and Device-to-Device (D2D) communications have been considered as the key enablers of the next generation networks. We consider a D2D-enabled hybrid cellular network compromising of μW macro-cells coexisting with mmWave small cells. We investigate the dynamic resource sharing in downlink transmission to maximize the energy efficiency (EE) of the priority, or cellular users (CUs), that are opportunistically served by either macrocells or mmWave small cells, while satisfying a minimum quality-of-service (QoS) level for the D2D pairs. In order to solve this problem, we first formulate a self-adaptive power control mechanism for the D2D pairs subject to the interference threshold constraint set for the CUs, while maintaining its minimum QoS level. Subsequently, the original EE optimization problem, which aimed at maximizing the EE for both CUs and D2D pairs, has been broken up into two subproblems that manage the radio resource allocation for D2D pairs and maximize EE exclusively for CUs, in that order. We then propose an iterative algorithm to provide a near- optimal EE solution for CUs.

U2 - 10.1109/GLOCOMW.2016.7849042

DO - 10.1109/GLOCOMW.2016.7849042

M3 - Conference contribution/Paper

SN - 9781509024834

BT - Globecom Workshops (GC Wkshps), 2016 IEEE

PB - IEEE

Y2 - 4 December 2016 through 8 December 2016

ER -