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Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints

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Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints. / Helmy, Amir; Musavian, Leila; Tho Le-Ngoc, [No Value].

In: IEEE Transactions on Wireless Communications, Vol. 12, No. 9, 09.2013, p. 4529-4541.

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Helmy, A, Musavian, L & Tho Le-Ngoc, NV 2013, 'Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints', IEEE Transactions on Wireless Communications, vol. 12, no. 9, pp. 4529-4541. https://doi.org/10.1109/TWC.2013.080113.120767

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Helmy, Amir ; Musavian, Leila ; Tho Le-Ngoc, [No Value]. / Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints. In: IEEE Transactions on Wireless Communications. 2013 ; Vol. 12, No. 9. pp. 4529-4541.

Bibtex

@article{589f2268f1034f4096c1784b15d184d9,
title = "Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints",
abstract = "This paper presents an energy-efficient power allocation for a multicarrier link over a frequency-selective fading channel with a delay-outage probability constraint. The power adaptation maximizes the system energy efficiency (EE), formulated as the ratio of the achieved effective capacity (EC) to the total expenditure power, including both transmission power and rate-independent circuit power. We prove that this objective function is quasi-concave in the transmission power, and derive the global optimum solution using fractional programming. Based on the obtained solution, we develop a power adaptation algorithm consisting of two steps: (i) establishing the optimum average power level corresponding to the maximum achievable EE with no transmit power constraint, and then (ii) for a given power constraint, jointly distributing the power over time and frequency based on the constraint and the optimum power level found in the first step. Analytical results show that the proposed EE-based power allocation has a structure similar to the allocation that maximizes the EC, but with a different cutoff threshold. Our proposed joint EE-optimal power allocation provides significant EE gains over both the joint spectral-efficient and independent-subcarrier EE-based power allocation schemes, where the rate-energy tradeoff becomes more pronounced with higher frequency selectivity.",
keywords = "Multicarrier system, quality-of-service (QoS), delay-outage probability constraint, effective capacity (EC), energy efficiency (EE), fractional programming, SERVICE DRIVEN POWER, WIRELESS LINKS, QUALITY, REGIME",
author = "Amir Helmy and Leila Musavian and {Tho Le-Ngoc}, {[No Value]}",
year = "2013",
month = sep,
doi = "10.1109/TWC.2013.080113.120767",
language = "English",
volume = "12",
pages = "4529--4541",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "9",

}

RIS

TY - JOUR

T1 - Energy-efficient power adaptation over a frequency-selective fading channel with delay and power constraints

AU - Helmy, Amir

AU - Musavian, Leila

AU - Tho Le-Ngoc, [No Value]

PY - 2013/9

Y1 - 2013/9

N2 - This paper presents an energy-efficient power allocation for a multicarrier link over a frequency-selective fading channel with a delay-outage probability constraint. The power adaptation maximizes the system energy efficiency (EE), formulated as the ratio of the achieved effective capacity (EC) to the total expenditure power, including both transmission power and rate-independent circuit power. We prove that this objective function is quasi-concave in the transmission power, and derive the global optimum solution using fractional programming. Based on the obtained solution, we develop a power adaptation algorithm consisting of two steps: (i) establishing the optimum average power level corresponding to the maximum achievable EE with no transmit power constraint, and then (ii) for a given power constraint, jointly distributing the power over time and frequency based on the constraint and the optimum power level found in the first step. Analytical results show that the proposed EE-based power allocation has a structure similar to the allocation that maximizes the EC, but with a different cutoff threshold. Our proposed joint EE-optimal power allocation provides significant EE gains over both the joint spectral-efficient and independent-subcarrier EE-based power allocation schemes, where the rate-energy tradeoff becomes more pronounced with higher frequency selectivity.

AB - This paper presents an energy-efficient power allocation for a multicarrier link over a frequency-selective fading channel with a delay-outage probability constraint. The power adaptation maximizes the system energy efficiency (EE), formulated as the ratio of the achieved effective capacity (EC) to the total expenditure power, including both transmission power and rate-independent circuit power. We prove that this objective function is quasi-concave in the transmission power, and derive the global optimum solution using fractional programming. Based on the obtained solution, we develop a power adaptation algorithm consisting of two steps: (i) establishing the optimum average power level corresponding to the maximum achievable EE with no transmit power constraint, and then (ii) for a given power constraint, jointly distributing the power over time and frequency based on the constraint and the optimum power level found in the first step. Analytical results show that the proposed EE-based power allocation has a structure similar to the allocation that maximizes the EC, but with a different cutoff threshold. Our proposed joint EE-optimal power allocation provides significant EE gains over both the joint spectral-efficient and independent-subcarrier EE-based power allocation schemes, where the rate-energy tradeoff becomes more pronounced with higher frequency selectivity.

KW - Multicarrier system

KW - quality-of-service (QoS)

KW - delay-outage probability constraint

KW - effective capacity (EC)

KW - energy efficiency (EE)

KW - fractional programming

KW - SERVICE DRIVEN POWER

KW - WIRELESS LINKS

KW - QUALITY

KW - REGIME

U2 - 10.1109/TWC.2013.080113.120767

DO - 10.1109/TWC.2013.080113.120767

M3 - Journal article

VL - 12

SP - 4529

EP - 4541

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 9

ER -