University of Hertfordshire

By the same authors

Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks. / El Cheikh, Mohamad; Simpson, Oluyomi; Sun, Yichuang.

2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020. IEEE, 2020. (2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

El Cheikh, M, Simpson, O & Sun, Y 2020, Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks. in 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020. 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020, IEEE, 16th IEEE International Wireless Communications and Mobile Computing Conference , 15/06/20. https://doi.org/10.1109/IWCMC48107.2020.9148370

APA

El Cheikh, M., Simpson, O., & Sun, Y. (2020). Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks. In 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020 (2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020). IEEE. https://doi.org/10.1109/IWCMC48107.2020.9148370

Vancouver

El Cheikh M, Simpson O, Sun Y. Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks. In 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020. IEEE. 2020. (2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020). https://doi.org/10.1109/IWCMC48107.2020.9148370

Author

El Cheikh, Mohamad ; Simpson, Oluyomi ; Sun, Yichuang. / Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks. 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020. IEEE, 2020. (2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020).

Bibtex

@inproceedings{b5ebdaaa2e544628b9b084b374fb16dc,
title = "Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks",
abstract = "In this paper, we propose a distance based energy efficient multiple relay selection algorithm for cooperative virtual Multiple-Input-Multiple-Output (MIMO). The fundamentals of this method is to forward the source signal using the node which minimizes the end-to-end total path distance, such that the total energy cost per bit is reduced at the relay and at the source. An energy efficient multiple relay selection algorithm is proposed to minimize the energy cost per bit while achieving a target system performance in terms of BER at the destination. The core of the proposed relay selection method is selecting the node set that minimize the overall path lengths. We present the impact of the relay location and the constellation size for different MIMO configuration, and prove numerically that minimizing the sum of all path link length leads to lower energy consumption under the same performancerequirement for MIMO, Multiple-Input-Single-Output (MISO) and Single-Input-Multiple-Output (SIMO) configuration. We compare the performance of MIMO, SIMO and MISO in terms of energy consumption and we present the results in terms of energy cost per bit against transmission distance. The results presented show that the proposed algorithm outperforms non optimized MIMO and traditional virtual MIMO communication in terms of energy consumption per bit for fixed rate and variable rate systems.",
keywords = "Energy Efficiency, Cooperative Communications, Wireless Sensor Networks, Virtual MIMO, Relay Selection",
author = "{El Cheikh}, Mohamad and Oluyomi Simpson and Yichuang Sun",
note = "{\textcopyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 16th IEEE International Wireless Communications and Mobile Computing Conference , IWCMC 2020 ; Conference date: 15-06-2020 Through 19-06-2020",
year = "2020",
month = jul,
day = "27",
doi = "10.1109/IWCMC48107.2020.9148370",
language = "English",
series = "2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020",
publisher = "IEEE",
booktitle = "2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020",
url = "https://iwcmc.org/2020/",

}

RIS

TY - GEN

T1 - Energy Efficient Relay Selection Algorithm for Virtual MIMO Cooperative Networks

AU - El Cheikh, Mohamad

AU - Simpson, Oluyomi

AU - Sun, Yichuang

N1 - © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2020/7/27

Y1 - 2020/7/27

N2 - In this paper, we propose a distance based energy efficient multiple relay selection algorithm for cooperative virtual Multiple-Input-Multiple-Output (MIMO). The fundamentals of this method is to forward the source signal using the node which minimizes the end-to-end total path distance, such that the total energy cost per bit is reduced at the relay and at the source. An energy efficient multiple relay selection algorithm is proposed to minimize the energy cost per bit while achieving a target system performance in terms of BER at the destination. The core of the proposed relay selection method is selecting the node set that minimize the overall path lengths. We present the impact of the relay location and the constellation size for different MIMO configuration, and prove numerically that minimizing the sum of all path link length leads to lower energy consumption under the same performancerequirement for MIMO, Multiple-Input-Single-Output (MISO) and Single-Input-Multiple-Output (SIMO) configuration. We compare the performance of MIMO, SIMO and MISO in terms of energy consumption and we present the results in terms of energy cost per bit against transmission distance. The results presented show that the proposed algorithm outperforms non optimized MIMO and traditional virtual MIMO communication in terms of energy consumption per bit for fixed rate and variable rate systems.

AB - In this paper, we propose a distance based energy efficient multiple relay selection algorithm for cooperative virtual Multiple-Input-Multiple-Output (MIMO). The fundamentals of this method is to forward the source signal using the node which minimizes the end-to-end total path distance, such that the total energy cost per bit is reduced at the relay and at the source. An energy efficient multiple relay selection algorithm is proposed to minimize the energy cost per bit while achieving a target system performance in terms of BER at the destination. The core of the proposed relay selection method is selecting the node set that minimize the overall path lengths. We present the impact of the relay location and the constellation size for different MIMO configuration, and prove numerically that minimizing the sum of all path link length leads to lower energy consumption under the same performancerequirement for MIMO, Multiple-Input-Single-Output (MISO) and Single-Input-Multiple-Output (SIMO) configuration. We compare the performance of MIMO, SIMO and MISO in terms of energy consumption and we present the results in terms of energy cost per bit against transmission distance. The results presented show that the proposed algorithm outperforms non optimized MIMO and traditional virtual MIMO communication in terms of energy consumption per bit for fixed rate and variable rate systems.

KW - Energy Efficiency

KW - Cooperative Communications

KW - Wireless Sensor Networks

KW - Virtual MIMO

KW - Relay Selection

U2 - 10.1109/IWCMC48107.2020.9148370

DO - 10.1109/IWCMC48107.2020.9148370

M3 - Conference contribution

T3 - 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020

BT - 2020 International Wireless Communications and Mobile Computing Conference, IWCMC 2020

PB - IEEE

T2 - 16th IEEE International Wireless Communications and Mobile Computing Conference

Y2 - 15 June 2020 through 19 June 2020

ER -