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Energy efficient designs for communication systems: resolutions on inverse resource allocation principles

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Energy efficient designs for communication systems: resolutions on inverse resource allocation principles. / Zarakovitis, Charilaos C.; Ni, Qiang.
In: IEEE Communications Letters, Vol. 17, No. 12, 12.2013, p. 2264-2267.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zarakovitis, CC & Ni, Q 2013, 'Energy efficient designs for communication systems: resolutions on inverse resource allocation principles', IEEE Communications Letters, vol. 17, no. 12, pp. 2264-2267. https://doi.org/10.1109/LCOMM.2013.101813.131660

APA

Zarakovitis, C. C., & Ni, Q. (2013). Energy efficient designs for communication systems: resolutions on inverse resource allocation principles. IEEE Communications Letters, 17(12), 2264-2267. https://doi.org/10.1109/LCOMM.2013.101813.131660

Vancouver

Zarakovitis CC, Ni Q. Energy efficient designs for communication systems: resolutions on inverse resource allocation principles. IEEE Communications Letters. 2013 Dec;17(12):2264-2267. Epub 2013 Oct 25. doi: 10.1109/LCOMM.2013.101813.131660

Author

Zarakovitis, Charilaos C. ; Ni, Qiang. / Energy efficient designs for communication systems : resolutions on inverse resource allocation principles. In: IEEE Communications Letters. 2013 ; Vol. 17, No. 12. pp. 2264-2267.

Bibtex

@article{bfbb28379cfd4340bdd153d59b34e82a,
title = "Energy efficient designs for communication systems: resolutions on inverse resource allocation principles",
abstract = "Energy efficient designs of communication systems are receiving great attention in both academia and industry. This letter investigates the energy efficient resource allocation schemes with Quality of Service (QoS) guarantee towards green wireless communication systems. We utilise the convex optimisation theory to obtain the optimal joint subcarrier and power allocation strategy. A new solution methodology is proposed to achieve the resolutions of transcendental equations. The simulation results demonstrate that our scheme outperforms other related approaches in terms of the energy efficiency performance, QoS guarantee and implementation complexity.",
author = "Zarakovitis, {Charilaos C.} and Qiang Ni",
year = "2013",
month = dec,
doi = "10.1109/LCOMM.2013.101813.131660",
language = "English",
volume = "17",
pages = "2264--2267",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",

}

RIS

TY - JOUR

T1 - Energy efficient designs for communication systems

T2 - resolutions on inverse resource allocation principles

AU - Zarakovitis, Charilaos C.

AU - Ni, Qiang

PY - 2013/12

Y1 - 2013/12

N2 - Energy efficient designs of communication systems are receiving great attention in both academia and industry. This letter investigates the energy efficient resource allocation schemes with Quality of Service (QoS) guarantee towards green wireless communication systems. We utilise the convex optimisation theory to obtain the optimal joint subcarrier and power allocation strategy. A new solution methodology is proposed to achieve the resolutions of transcendental equations. The simulation results demonstrate that our scheme outperforms other related approaches in terms of the energy efficiency performance, QoS guarantee and implementation complexity.

AB - Energy efficient designs of communication systems are receiving great attention in both academia and industry. This letter investigates the energy efficient resource allocation schemes with Quality of Service (QoS) guarantee towards green wireless communication systems. We utilise the convex optimisation theory to obtain the optimal joint subcarrier and power allocation strategy. A new solution methodology is proposed to achieve the resolutions of transcendental equations. The simulation results demonstrate that our scheme outperforms other related approaches in terms of the energy efficiency performance, QoS guarantee and implementation complexity.

U2 - 10.1109/LCOMM.2013.101813.131660

DO - 10.1109/LCOMM.2013.101813.131660

M3 - Journal article

VL - 17

SP - 2264

EP - 2267

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 12

ER -