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Energy- and spectral-efficiency tradeoff with $\alpha$-fairness in downlink OFDMA systems

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Energy- and spectral-efficiency tradeoff with $\alpha$-fairness in downlink OFDMA systems. / Song, Zhengyu; Ni, Qiang; Navaie, Keivan; Hou, Shujuan; Wu, Siliang.

In: IEEE Communications Letters, Vol. 19, No. 7, 08.07.2015, p. 1265-1268.

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Song, Zhengyu ; Ni, Qiang ; Navaie, Keivan ; Hou, Shujuan ; Wu, Siliang. / Energy- and spectral-efficiency tradeoff with $\alpha$-fairness in downlink OFDMA systems. In: IEEE Communications Letters. 2015 ; Vol. 19, No. 7. pp. 1265-1268.

Bibtex

@article{a33cbbbde9e54008baf82d992906aee9,
title = "Energy- and spectral-efficiency tradeoff with $\alpha$-fairness in downlink OFDMA systems",
abstract = "In this letter, we adopt multi-objective optimization to investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in downlink orthogonal frequency division multiple access (OFDMA) systems. In the proposed model, α-fair utility function is applied to take account of the rate fairness among users. We then transfer the original multi-objective optimization into a single objective optimization employing the weighted sum method to obtain the solution set characterized as a Pareto set. The obtained Pareto set demonstrates the tradeoff between EE and SE while α-fairness guarantee is in place. We further consider price of fairness, as a metric to quantify the loss of EE due to enforcing fairness requirements. Such a metric enables the network operators to determine an acceptable operation point in terms of EE-SE tradeoff when certain level of fairness is required. Simulation results indicate that higher fairness results in lower system EE, and the price of fairness is significantly raised with the increase of overall SE.",
author = "Zhengyu Song and Qiang Ni and Keivan Navaie and Shujuan Hou and Siliang Wu",
year = "2015",
month = "7",
day = "8",
doi = "10.1109/LCOMM.2015.2427275",
language = "English",
volume = "19",
pages = "1265--1268",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Energy- and spectral-efficiency tradeoff with $\alpha$-fairness in downlink OFDMA systems

AU - Song, Zhengyu

AU - Ni, Qiang

AU - Navaie, Keivan

AU - Hou, Shujuan

AU - Wu, Siliang

PY - 2015/7/8

Y1 - 2015/7/8

N2 - In this letter, we adopt multi-objective optimization to investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in downlink orthogonal frequency division multiple access (OFDMA) systems. In the proposed model, α-fair utility function is applied to take account of the rate fairness among users. We then transfer the original multi-objective optimization into a single objective optimization employing the weighted sum method to obtain the solution set characterized as a Pareto set. The obtained Pareto set demonstrates the tradeoff between EE and SE while α-fairness guarantee is in place. We further consider price of fairness, as a metric to quantify the loss of EE due to enforcing fairness requirements. Such a metric enables the network operators to determine an acceptable operation point in terms of EE-SE tradeoff when certain level of fairness is required. Simulation results indicate that higher fairness results in lower system EE, and the price of fairness is significantly raised with the increase of overall SE.

AB - In this letter, we adopt multi-objective optimization to investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in downlink orthogonal frequency division multiple access (OFDMA) systems. In the proposed model, α-fair utility function is applied to take account of the rate fairness among users. We then transfer the original multi-objective optimization into a single objective optimization employing the weighted sum method to obtain the solution set characterized as a Pareto set. The obtained Pareto set demonstrates the tradeoff between EE and SE while α-fairness guarantee is in place. We further consider price of fairness, as a metric to quantify the loss of EE due to enforcing fairness requirements. Such a metric enables the network operators to determine an acceptable operation point in terms of EE-SE tradeoff when certain level of fairness is required. Simulation results indicate that higher fairness results in lower system EE, and the price of fairness is significantly raised with the increase of overall SE.

U2 - 10.1109/LCOMM.2015.2427275

DO - 10.1109/LCOMM.2015.2427275

M3 - Journal article

VL - 19

SP - 1265

EP - 1268

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 7

ER -