VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi

Muhammet Selim Demir; Omer Faruk Gemici; Murat Uysal

doi:10.1109/SIU.2017.7960526

VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi

Translated title of the contribution: Genetic algortihm based resource allocation technique for VLC networks

Muhammet Selim Demir, Omer Faruk Gemici, Murat Uysal

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present a genetic algorithm (GA) based resource allocation technique for indoor optical visible light communication (VLC) networks. Optical VLC network using existing lighting infrastructure in an indoor environment is a cellular network with very small size cells. It is necessary to have effective resource allocation mechanisms for VLC networks to maximize system throughput and fairness among users. We propose a GA based resource allocation scheme to improve total system throughput. Our proposed scheme gives better results compared to Round Robin and Best CQI algorithms in terms of system throughput.

Translated title of the contribution	Genetic algortihm based resource allocation technique for VLC networks
Original language	Undefined
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960526
State	Published - Jun 27 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: May 15 2017 → May 18 2017

Publication series

Name	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	5/15/17 → 5/18/17

Keywords

DCO-OFDM
genetic algorithm
resource allocation
visible light communications

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/SIU.2017.7960526

Cite this

Demir, M. S., Gemici, O. F., & Uysal, M. (2017). VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Article 7960526 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960526

VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi. / Demir, Muhammet Selim; Gemici, Omer Faruk; Uysal, Murat.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960526 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Demir, MS, Gemici, OF & Uysal, M 2017, VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960526, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 5/15/17. https://doi.org/10.1109/SIU.2017.7960526

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abstract = "In this paper, we present a genetic algorithm (GA) based resource allocation technique for indoor optical visible light communication (VLC) networks. Optical VLC network using existing lighting infrastructure in an indoor environment is a cellular network with very small size cells. It is necessary to have effective resource allocation mechanisms for VLC networks to maximize system throughput and fairness among users. We propose a GA based resource allocation scheme to improve total system throughput. Our proposed scheme gives better results compared to Round Robin and Best CQI algorithms in terms of system throughput.",

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author = "Demir, {Muhammet Selim} and Gemici, {Omer Faruk} and Murat Uysal",

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year = "2017",

month = jun,

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doi = "10.1109/SIU.2017.7960526",

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PY - 2017/6/27

Y1 - 2017/6/27

N2 - In this paper, we present a genetic algorithm (GA) based resource allocation technique for indoor optical visible light communication (VLC) networks. Optical VLC network using existing lighting infrastructure in an indoor environment is a cellular network with very small size cells. It is necessary to have effective resource allocation mechanisms for VLC networks to maximize system throughput and fairness among users. We propose a GA based resource allocation scheme to improve total system throughput. Our proposed scheme gives better results compared to Round Robin and Best CQI algorithms in terms of system throughput.

AB - In this paper, we present a genetic algorithm (GA) based resource allocation technique for indoor optical visible light communication (VLC) networks. Optical VLC network using existing lighting infrastructure in an indoor environment is a cellular network with very small size cells. It is necessary to have effective resource allocation mechanisms for VLC networks to maximize system throughput and fairness among users. We propose a GA based resource allocation scheme to improve total system throughput. Our proposed scheme gives better results compared to Round Robin and Best CQI algorithms in terms of system throughput.

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T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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VLC Aǧlari için Genetik Algoritma Temelli Kaynak Atama Tekniǧi

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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