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A performance comparative study on the implementation methods for OFDMA cross-layer optimization

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A performance comparative study on the implementation methods for OFDMA cross-layer optimization. / C. Zarakovitis, Charilaos; Ni, Qiang.
In: Future Generation Computer Systems, Vol. 28, No. 6, 06.2012, p. 923-929.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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C. Zarakovitis C, Ni Q. A performance comparative study on the implementation methods for OFDMA cross-layer optimization. Future Generation Computer Systems. 2012 Jun;28(6):923-929. doi: 10.1016/j.future.2011.10.008

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Bibtex

@article{9821763c8fdd483f99d818d7293b2c87,
title = "A performance comparative study on the implementation methods for OFDMA cross-layer optimization",
abstract = "One key issue in cross-layer optimization techniques for next-generation multi-user orthogonal frequency division multiple access (OFDMA)-based broadband wireless network systems lies in the implementation methods of optimal resource scheduling. In the literature the optimal solutions are derived either through dynamic programming (referred to as a purely numerical approach) or via mathematical analysis (referred to as an analytical approach). When the latter approach is adopted, an additional iterative process is usually needed for the final optimal solution to be obtained. This paper presents a first in-depth comparative study on the implementation performance between the analytical and the numerical techniques. For this purpose, various popular iterative methods and numerical methods are investigated in our study. Several performance metrics (e.g., achieved overall data rate, absolute approximation error, and computational time) are utilized for comparison. Our simulation results demonstrate clearly that the analytical approaches indeed outperform the numerical ones. Furthermore, regarding different iterative methods, it is shown that the semi-implicit root (SIR) mechanism performs best in terms of the convergence rate, the root-finding accuracy, and the computational time. (C) 2011 Elsevier B.V. All rights reserved.",
keywords = "Cross-layer scheduling, Semi-implicit root (SIR) , Iterative method , Multiple access , Orthogonal Frequency Division Multiple Access (OFDMA) , Optimization techniques , Resource allocation , Wireless networks",
author = "{C. Zarakovitis}, Charilaos and Qiang Ni",
year = "2012",
month = jun,
doi = "10.1016/j.future.2011.10.008",
language = "English",
volume = "28",
pages = "923--929",
journal = "Future Generation Computer Systems",
publisher = "Elsevier",
number = "6",

}

RIS

TY - JOUR

T1 - A performance comparative study on the implementation methods for OFDMA cross-layer optimization

AU - C. Zarakovitis, Charilaos

AU - Ni, Qiang

PY - 2012/6

Y1 - 2012/6

N2 - One key issue in cross-layer optimization techniques for next-generation multi-user orthogonal frequency division multiple access (OFDMA)-based broadband wireless network systems lies in the implementation methods of optimal resource scheduling. In the literature the optimal solutions are derived either through dynamic programming (referred to as a purely numerical approach) or via mathematical analysis (referred to as an analytical approach). When the latter approach is adopted, an additional iterative process is usually needed for the final optimal solution to be obtained. This paper presents a first in-depth comparative study on the implementation performance between the analytical and the numerical techniques. For this purpose, various popular iterative methods and numerical methods are investigated in our study. Several performance metrics (e.g., achieved overall data rate, absolute approximation error, and computational time) are utilized for comparison. Our simulation results demonstrate clearly that the analytical approaches indeed outperform the numerical ones. Furthermore, regarding different iterative methods, it is shown that the semi-implicit root (SIR) mechanism performs best in terms of the convergence rate, the root-finding accuracy, and the computational time. (C) 2011 Elsevier B.V. All rights reserved.

AB - One key issue in cross-layer optimization techniques for next-generation multi-user orthogonal frequency division multiple access (OFDMA)-based broadband wireless network systems lies in the implementation methods of optimal resource scheduling. In the literature the optimal solutions are derived either through dynamic programming (referred to as a purely numerical approach) or via mathematical analysis (referred to as an analytical approach). When the latter approach is adopted, an additional iterative process is usually needed for the final optimal solution to be obtained. This paper presents a first in-depth comparative study on the implementation performance between the analytical and the numerical techniques. For this purpose, various popular iterative methods and numerical methods are investigated in our study. Several performance metrics (e.g., achieved overall data rate, absolute approximation error, and computational time) are utilized for comparison. Our simulation results demonstrate clearly that the analytical approaches indeed outperform the numerical ones. Furthermore, regarding different iterative methods, it is shown that the semi-implicit root (SIR) mechanism performs best in terms of the convergence rate, the root-finding accuracy, and the computational time. (C) 2011 Elsevier B.V. All rights reserved.

KW - Cross-layer scheduling

KW - Semi-implicit root (SIR)

KW - Iterative method

KW - Multiple access

KW - Orthogonal Frequency Division Multiple Access (OFDMA)

KW - Optimization techniques

KW - Resource allocation

KW - Wireless networks

U2 - 10.1016/j.future.2011.10.008

DO - 10.1016/j.future.2011.10.008

M3 - Journal article

VL - 28

SP - 923

EP - 929

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 6

ER -