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Energy and spectrum efficiency trade-off for green small cell networks

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Energy and spectrum efficiency trade-off for green small cell networks. / Pervaiz, Haris Bin; Musavian, Leila; Ni, Qiang.
IEEE International Conference on Communications (ICC), 2015. IEEE, 2015. p. 5410-5415.

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

Harvard

Pervaiz, HB, Musavian, L & Ni, Q 2015, Energy and spectrum efficiency trade-off for green small cell networks. in IEEE International Conference on Communications (ICC), 2015. IEEE, pp. 5410-5415, IEEE International Conference on Communications (ICC), 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICC.2015.7249184

APA

Vancouver

Pervaiz HB, Musavian L, Ni Q. Energy and spectrum efficiency trade-off for green small cell networks. In IEEE International Conference on Communications (ICC), 2015. IEEE. 2015. p. 5410-5415 doi: 10.1109/ICC.2015.7249184

Author

Pervaiz, Haris Bin ; Musavian, Leila ; Ni, Qiang. / Energy and spectrum efficiency trade-off for green small cell networks. IEEE International Conference on Communications (ICC), 2015. IEEE, 2015. pp. 5410-5415

Bibtex

@inproceedings{7df6562fb70b4ec8b967def9d2426c9b,
title = "Energy and spectrum efficiency trade-off for green small cell networks",
abstract = "Green Small Cell Networks aim at achieving high rates and low powers by offloading users with low signal-to-noise-ratios from macrocell to the pico base station. In this work, we propose to jointly optimise energy efficiency (EE) and spectrum efficiency (SE) such that the network providers can dynamically tune the trade-off parameter for different design requirements. This paper formulates the EE-SE trade-off as a multi-objective optimisation problem (MOP) in the uplink of multi-user two-tier Orthogonal Frequency Division Multiplexing Heterogeneous Networks. Using the weighted sum method, the MOP can be transformed into a single-objective optimisation problem (SOP). The proposed EE and SE trade-off optimisation problem is strictly quasi-concave. Hence, using Dual Decomposition approach, we derive the unique optimal solution. Numerical results demonstrate the effectiveness of the proposed approach and illustrate the fundamental tradeoff between EE and SE for different tradeoff parameters such as maximum transmission power and circuit power.",
keywords = "HetNets, Green Communications, Energy and Spectrum Efficiency, Resource Allocation, Small Cells",
author = "Pervaiz, {Haris Bin} and Leila Musavian and Qiang Ni",
year = "2015",
month = oct,
day = "1",
doi = "10.1109/ICC.2015.7249184",
language = "English",
isbn = "9781467364324",
pages = "5410--5415",
booktitle = "IEEE International Conference on Communications (ICC), 2015",
publisher = "IEEE",
note = "IEEE International Conference on Communications (ICC), 2015 ; Conference date: 08-06-2015 Through 12-06-2015",

}

RIS

TY - GEN

T1 - Energy and spectrum efficiency trade-off for green small cell networks

AU - Pervaiz, Haris Bin

AU - Musavian, Leila

AU - Ni, Qiang

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Green Small Cell Networks aim at achieving high rates and low powers by offloading users with low signal-to-noise-ratios from macrocell to the pico base station. In this work, we propose to jointly optimise energy efficiency (EE) and spectrum efficiency (SE) such that the network providers can dynamically tune the trade-off parameter for different design requirements. This paper formulates the EE-SE trade-off as a multi-objective optimisation problem (MOP) in the uplink of multi-user two-tier Orthogonal Frequency Division Multiplexing Heterogeneous Networks. Using the weighted sum method, the MOP can be transformed into a single-objective optimisation problem (SOP). The proposed EE and SE trade-off optimisation problem is strictly quasi-concave. Hence, using Dual Decomposition approach, we derive the unique optimal solution. Numerical results demonstrate the effectiveness of the proposed approach and illustrate the fundamental tradeoff between EE and SE for different tradeoff parameters such as maximum transmission power and circuit power.

AB - Green Small Cell Networks aim at achieving high rates and low powers by offloading users with low signal-to-noise-ratios from macrocell to the pico base station. In this work, we propose to jointly optimise energy efficiency (EE) and spectrum efficiency (SE) such that the network providers can dynamically tune the trade-off parameter for different design requirements. This paper formulates the EE-SE trade-off as a multi-objective optimisation problem (MOP) in the uplink of multi-user two-tier Orthogonal Frequency Division Multiplexing Heterogeneous Networks. Using the weighted sum method, the MOP can be transformed into a single-objective optimisation problem (SOP). The proposed EE and SE trade-off optimisation problem is strictly quasi-concave. Hence, using Dual Decomposition approach, we derive the unique optimal solution. Numerical results demonstrate the effectiveness of the proposed approach and illustrate the fundamental tradeoff between EE and SE for different tradeoff parameters such as maximum transmission power and circuit power.

KW - HetNets

KW - Green Communications

KW - Energy and Spectrum Efficiency

KW - Resource Allocation

KW - Small Cells

U2 - 10.1109/ICC.2015.7249184

DO - 10.1109/ICC.2015.7249184

M3 - Conference contribution/Paper

SN - 9781467364324

SP - 5410

EP - 5415

BT - IEEE International Conference on Communications (ICC), 2015

PB - IEEE

T2 - IEEE International Conference on Communications (ICC), 2015

Y2 - 8 June 2015 through 12 June 2015

ER -