Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm

Su Fong Chien; T. O. Ting; Xin She Yang; Alvin Kee Ngoh Ting; Derek William Holtby

doi:10.1109/ICACCI.2013.6637370

Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm

Su Fong Chien
, T. O. Ting
, Xin She Yang
, Alvin Kee Ngoh Ting
, Derek William Holtby

Department of Electrical and Electronic Engineering

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

9 Citations (Scopus)

Abstract

Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m ^th user in the n^th channel (p_m,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.

Original language	English
Title of host publication	Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
Pages	1330-1334
Number of pages	5
DOIs	https://doi.org/10.1109/ICACCI.2013.6637370
Publication status	Published - 2013
Event	2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 - Mysore, India Duration: 22 Aug 2013 → 25 Aug 2013

Publication series

Name	Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013

Conference

Conference	2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
Country/Territory	India
City	Mysore
Period	22/08/13 → 25/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

OFDMA
QoS
multi-user system
optimization
resource allocation

Access to Document

10.1109/ICACCI.2013.6637370

Cite this

Chien, S. F., Ting, T. O., Yang, X. S., Ting, A. K. N., & Holtby, D. W. (2013). Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. In Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 (pp. 1330-1334). Article 6637370 (Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013). https://doi.org/10.1109/ICACCI.2013.6637370

Chien, Su Fong ; Ting, T. O. ; Yang, Xin She et al. / Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013. 2013. pp. 1330-1334 (Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013).

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title = "Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm",

abstract = "Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m th user in the nth channel (pm,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.",

keywords = "OFDMA, QoS, multi-user system, optimization, resource allocation",

author = "Chien, \{Su Fong\} and Ting, \{T. O.\} and Yang, \{Xin She\} and Ting, \{Alvin Kee Ngoh\} and Holtby, \{Derek William\}",

year = "2013",

doi = "10.1109/ICACCI.2013.6637370",

language = "English",

isbn = "9781467362153",

series = "Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013",

pages = "1330--1334",

booktitle = "Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013",

note = "2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 ; Conference date: 22-08-2013 Through 25-08-2013",

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Chien, SF, Ting, TO, Yang, XS, Ting, AKN & Holtby, DW 2013, Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. in Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013., 6637370, Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013, pp. 1330-1334, 2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013, Mysore, India, 22/08/13. https://doi.org/10.1109/ICACCI.2013.6637370

Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. / Chien, Su Fong; Ting, T. O.; Yang, Xin She et al.
Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013. 2013. p. 1330-1334 6637370 (Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm

AU - Chien, Su Fong

AU - Ting, T. O.

AU - Yang, Xin She

AU - Ting, Alvin Kee Ngoh

AU - Holtby, Derek William

PY - 2013

Y1 - 2013

N2 - Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m th user in the nth channel (pm,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.

AB - Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m th user in the nth channel (pm,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.

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KW - QoS

KW - multi-user system

KW - optimization

KW - resource allocation

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T3 - Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013

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ER -

Chien SF, Ting TO, Yang XS, Ting AKN, Holtby DW. Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. In Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013. 2013. p. 1330-1334. 6637370. (Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013). doi: 10.1109/ICACCI.2013.6637370

Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm

Abstract

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UN SDGs

Keywords

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