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A novel low complexity energy-efficient resource allocation for OFDM systems

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A novel low complexity energy-efficient resource allocation for OFDM systems. / Kazemi, Jafar; Omidi, Mohammad Javad; Navaie, Keivan.

In: Transactions on Emerging Telecommunications Technologies, Vol. 28, No. 1, e2932, 01.2017.

Research output: Contribution to journalJournal article

Harvard

Kazemi, J, Omidi, MJ & Navaie, K 2017, 'A novel low complexity energy-efficient resource allocation for OFDM systems' Transactions on Emerging Telecommunications Technologies, vol. 28, no. 1, e2932. https://doi.org/10.1002/ett.2932

APA

Kazemi, J., Omidi, M. J., & Navaie, K. (2017). A novel low complexity energy-efficient resource allocation for OFDM systems. Transactions on Emerging Telecommunications Technologies, 28(1), [e2932]. https://doi.org/10.1002/ett.2932

Vancouver

Kazemi J, Omidi MJ, Navaie K. A novel low complexity energy-efficient resource allocation for OFDM systems. Transactions on Emerging Telecommunications Technologies. 2017 Jan;28(1). e2932. https://doi.org/10.1002/ett.2932

Author

Kazemi, Jafar ; Omidi, Mohammad Javad ; Navaie, Keivan. / A novel low complexity energy-efficient resource allocation for OFDM systems. In: Transactions on Emerging Telecommunications Technologies. 2017 ; Vol. 28, No. 1.

Bibtex

@article{983fbb6c6d10418cb7ead4f6a3ab2f4d,
title = "A novel low complexity energy-efficient resource allocation for OFDM systems",
abstract = "In this paper, we study energy efficiency of an orthogonal frequency division multiplexing based system under power constraint and minimum rate requirement with system circuit power consideration. The optimal radio resource allocation is then formulated as an energy-efficient maximisation where we propose a novel low complexity solution for obtaining the optimal solution. The solution consists of the optimal source transmission power and its distribution among subcarriers. In spite of the iterative solution with high computational complexity in previous works, we propose a quickly convergent low complexity scheme based on solving a nonlinear logarithmic equation. To evaluate the accuracy of the proposed method, we compared its accuracy through simulations with the optimal solution in systems with and without circuit power consideration. Simulation studies indicate that the proposed method provide accurate solutions in both low and high signal to noise ratio regimes. The simulation results also indicate using our proposed method results in a significant improvement in the computational complexity.",
author = "Jafar Kazemi and Omidi, {Mohammad Javad} and Keivan Navaie",
year = "2017",
month = "1",
doi = "10.1002/ett.2932",
language = "English",
volume = "28",
journal = "Transactions on Emerging Telecommunications Technologies",
issn = "2161-3915",
publisher = "Wiley Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - A novel low complexity energy-efficient resource allocation for OFDM systems

AU - Kazemi, Jafar

AU - Omidi, Mohammad Javad

AU - Navaie, Keivan

PY - 2017/1

Y1 - 2017/1

N2 - In this paper, we study energy efficiency of an orthogonal frequency division multiplexing based system under power constraint and minimum rate requirement with system circuit power consideration. The optimal radio resource allocation is then formulated as an energy-efficient maximisation where we propose a novel low complexity solution for obtaining the optimal solution. The solution consists of the optimal source transmission power and its distribution among subcarriers. In spite of the iterative solution with high computational complexity in previous works, we propose a quickly convergent low complexity scheme based on solving a nonlinear logarithmic equation. To evaluate the accuracy of the proposed method, we compared its accuracy through simulations with the optimal solution in systems with and without circuit power consideration. Simulation studies indicate that the proposed method provide accurate solutions in both low and high signal to noise ratio regimes. The simulation results also indicate using our proposed method results in a significant improvement in the computational complexity.

AB - In this paper, we study energy efficiency of an orthogonal frequency division multiplexing based system under power constraint and minimum rate requirement with system circuit power consideration. The optimal radio resource allocation is then formulated as an energy-efficient maximisation where we propose a novel low complexity solution for obtaining the optimal solution. The solution consists of the optimal source transmission power and its distribution among subcarriers. In spite of the iterative solution with high computational complexity in previous works, we propose a quickly convergent low complexity scheme based on solving a nonlinear logarithmic equation. To evaluate the accuracy of the proposed method, we compared its accuracy through simulations with the optimal solution in systems with and without circuit power consideration. Simulation studies indicate that the proposed method provide accurate solutions in both low and high signal to noise ratio regimes. The simulation results also indicate using our proposed method results in a significant improvement in the computational complexity.

U2 - 10.1002/ett.2932

DO - 10.1002/ett.2932

M3 - Journal article

VL - 28

JO - Transactions on Emerging Telecommunications Technologies

JF - Transactions on Emerging Telecommunications Technologies

SN - 2161-3915

IS - 1

M1 - e2932

ER -