Energy Harvesting for Efficient 5G Networks

Fadhil Mukhlif; Kamarul Ariffin Bin Nooridin; Yousef Ali Al-Gumaei; Abdu Saif Al-Rassas

doi:10.1109/ICSCEE.2018.8538376

Energy Harvesting for Efficient 5G Networks

Fadhil Mukhlif, Kamarul Ariffin Bin Nooridin, Yousef Ali Al-Gumaei, Abdu Saif Al-Rassas

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

12 Citations (Scopus)

Abstract

The design of traditional mobile wireless network emphasises on large capacity as well as ubiquitous access. However, environmental protection and energy saving may soon become inevitable trends due to rising global demands. In the wireless networking field, researchers should shift their focus towards efficient networks and energy harvesting (EH). In this work, we consider energy efficiency and EH to address the issue of energy shortage, which also represents the ratio of the quantity of data that have been transferred to the dissipated energy within the system, simultaneously. The simulation-based mathematics signifies the relation between energy efficiency (C _E ) against the training interval (T _t ) and how the energy efficiency is impacted by the change in block size and number of users.

Original language	English
Title of host publication	2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
Publisher	IEEE
ISBN (Electronic)	978-1-5386-4838-4
ISBN (Print)	978-1-5386-4836-0
DOIs	https://doi.org/10.1109/ICSCEE.2018.8538376
Publication status	Published - 18 Nov 2018
Event	2018 International Conference on Smart Computing and Electronic Enterprise - Shah Alam, Malaysia Duration: 11 Jul 2018 → 12 Jul 2018

Conference

Conference	2018 International Conference on Smart Computing and Electronic Enterprise
Abbreviated title	ICSCEE 2018
Country/Territory	Malaysia
City	Shah Alam
Period	11/07/18 → 12/07/18

Keywords

5G
Energy Harvesting(EH)
Green Transmission
Information Decoding(ID)
Networking
Resource Allocation
Wireless Communication

ASJC Scopus subject areas

Signal Processing
Social Sciences (miscellaneous)
Education
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

UN SDGs

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

Access to Document

10.1109/ICSCEE.2018.8538376

Cite this

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title = "Energy Harvesting for Efficient 5G Networks",

abstract = " The design of traditional mobile wireless network emphasises on large capacity as well as ubiquitous access. However, environmental protection and energy saving may soon become inevitable trends due to rising global demands. In the wireless networking field, researchers should shift their focus towards efficient networks and energy harvesting (EH). In this work, we consider energy efficiency and EH to address the issue of energy shortage, which also represents the ratio of the quantity of data that have been transferred to the dissipated energy within the system, simultaneously. The simulation-based mathematics signifies the relation between energy efficiency (C E ) against the training interval (T t ) and how the energy efficiency is impacted by the change in block size and number of users.",

keywords = "5G, Energy Harvesting(EH), Green Transmission, Information Decoding(ID), Networking, Resource Allocation, Wireless Communication",

author = "Fadhil Mukhlif and Nooridin, {Kamarul Ariffin Bin} and Al-Gumaei, {Yousef Ali} and Al-Rassas, {Abdu Saif}",

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doi = "10.1109/ICSCEE.2018.8538376",

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AU - Mukhlif, Fadhil

AU - Nooridin, Kamarul Ariffin Bin

AU - Al-Gumaei, Yousef Ali

AU - Al-Rassas, Abdu Saif

PY - 2018/11/18

Y1 - 2018/11/18

N2 - The design of traditional mobile wireless network emphasises on large capacity as well as ubiquitous access. However, environmental protection and energy saving may soon become inevitable trends due to rising global demands. In the wireless networking field, researchers should shift their focus towards efficient networks and energy harvesting (EH). In this work, we consider energy efficiency and EH to address the issue of energy shortage, which also represents the ratio of the quantity of data that have been transferred to the dissipated energy within the system, simultaneously. The simulation-based mathematics signifies the relation between energy efficiency (C E ) against the training interval (T t ) and how the energy efficiency is impacted by the change in block size and number of users.

AB - The design of traditional mobile wireless network emphasises on large capacity as well as ubiquitous access. However, environmental protection and energy saving may soon become inevitable trends due to rising global demands. In the wireless networking field, researchers should shift their focus towards efficient networks and energy harvesting (EH). In this work, we consider energy efficiency and EH to address the issue of energy shortage, which also represents the ratio of the quantity of data that have been transferred to the dissipated energy within the system, simultaneously. The simulation-based mathematics signifies the relation between energy efficiency (C E ) against the training interval (T t ) and how the energy efficiency is impacted by the change in block size and number of users.

KW - 5G

KW - Energy Harvesting(EH)

KW - Green Transmission

KW - Information Decoding(ID)

KW - Networking

KW - Resource Allocation

KW - Wireless Communication

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DO - 10.1109/ICSCEE.2018.8538376

M3 - Conference contribution

AN - SCOPUS:85059408055

SN - 978-1-5386-4836-0

BT - 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018

PB - IEEE

T2 - 2018 International Conference on Smart Computing and Electronic Enterprise

Y2 - 11 July 2018 through 12 July 2018

ER -

Energy Harvesting for Efficient 5G Networks

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this