國立高雄大學圖資館 |

Language: English

Back

Dual-Battery Empowered Green Cellula...

Liu, Xilong.

Dual-Battery Empowered Green Cellular Networks.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Dual-Battery Empowered Green Cellular Networks.
Author:	Liu, Xilong.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2019
Description:	108 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Notes:	Advisor: Ansari, Nirwan.
Contained By:	Dissertations Abstracts International81-02A.
Subject:	Electrical engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13807638
ISBN:	9781085564281

Dual-Battery Empowered Green Cellular Networks.
Liu, Xilong.

Dual-Battery Empowered Green Cellular Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 108 p.

Source: Dissertations Abstracts International, Volume: 81-02, Section: A.

Thesis (Ph.D.)--New Jersey Institute of Technology, 2019.

This item must not be sold to any third party vendors.

With awareness of the potential harmful effects to the environment and climate change, on-grid brown energy consumption of information and communications technology (ICT) has drawn much attention. Cellular base stations (BSs) are among the major energy guzzlers in ICT, and their contributions to the global carbon emissions increase sustainedly. It is essential to leverage green energy to power BSs to reduce their on-grid brown energy consumption. However, in order to furthest save on-grid brown energy and decrease the on-grid brown energy electricity expenses, most existing green energy related works only pursue to maximize the green energy utilization while compromising the services received by the mobile users. In reality, dissatisfaction of services may eventually lead to loss of market shares and profits of the network providers. In this research, a dual-battery enabled profit driven user association scheme is introduced to jointly consider the traffic delivery latency and green energy utilization to maximize the profits for the network providers in heterogeneous cellular networks. Since this profit driven user association optimization problem is NP-hard, some heuristics are presented to solve the problem with low computational complexity. Finally, the performance of the proposed algorithm is validated through extensive simulations. In addition, the Internet of Things (IoT) heralds a vision of future Internet where all physical things/devices are connected via a network to promote a heightened level of awareness about our world and dramatically improve our daily lives. Nonetheless, most wireless technologies utilizing unlicensed bands cannot provision ubiquitous and quality IoT services. In contrast, cellular networks support large-scale, quality of service guaranteed, and secured communications. However, tremendous proximal communications via local BSs will lead to severe traffic congestion and huge energy consumption in conventional cellular networks. Device-to-device (D2D) communications can potentially offload traffic from and reduce energy consumption of BSs. In order to realize the vision of a truly global IoT, a novel architecture, i.e., overlay-based green relay assisted D2D communications with dual batteries in heterogeneous cellular networks, is introduced. By optimally allocating the network resource, the introduced resource allocation method provisions the IoT services and minimizes the overall energy consumption of the pico relay BSs. By balancing the residual green energy among the pico relay BSs, the green energy utilization is maximized; this furthest saves the on-grid energy. Finally, the performance of the proposed architecture is validated through extensive simulations. Furthermore, the mobile devices serve the important roles in cellular networks and IoT. With the ongoing worldwide development of IoT, an unprecedented number of edge devices imperatively consume a substantial amount of energy. The overall IoT mobile edge devices have been predicted to be the leading energy guzzler in ICT by 2020. Therefore, a three-step green IoT architecture is proposed, i.e., ambient energy harvesting, green energy wireless transfer and green energy balancing, in this research. The latter step reinforces the former one to ensure the availability of green energy. The basic design principles for these three steps are laid out and discussed. In summary, based on the dual-battery architecture, this dissertation research proposes solutions for the three aspects, i.e., green cellular BSs, green D2D communications and green devices, to hopefully and eventually actualize green cellular access networks, as part of the ongoing efforts in greening our society and environment.

ISBN: 9781085564281Subjects--Topical Terms:

454503
Electrical engineering.
Subjects--Index Terms:

Cellular networks

Dual-Battery Empowered Green Cellular Networks.
LDR:04932nmm a2200385 4500 001 594504
005 20210521101641.5
008 210917s2019 ||||||||||||||||| ||eng d
020 $a 9781085564281
035 $a (MiAaPQ)AAI13807638
035 $a AAI13807638
040 $a MiAaPQ $c MiAaPQ
100 1 $a Liu, Xilong. $3 886480
245 1 0 $a Dual-Battery Empowered Green Cellular Networks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 108 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
500 $a Advisor: Ansari, Nirwan.
502 $a Thesis (Ph.D.)--New Jersey Institute of Technology, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a With awareness of the potential harmful effects to the environment and climate change, on-grid brown energy consumption of information and communications technology (ICT) has drawn much attention. Cellular base stations (BSs) are among the major energy guzzlers in ICT, and their contributions to the global carbon emissions increase sustainedly. It is essential to leverage green energy to power BSs to reduce their on-grid brown energy consumption. However, in order to furthest save on-grid brown energy and decrease the on-grid brown energy electricity expenses, most existing green energy related works only pursue to maximize the green energy utilization while compromising the services received by the mobile users. In reality, dissatisfaction of services may eventually lead to loss of market shares and profits of the network providers. In this research, a dual-battery enabled profit driven user association scheme is introduced to jointly consider the traffic delivery latency and green energy utilization to maximize the profits for the network providers in heterogeneous cellular networks. Since this profit driven user association optimization problem is NP-hard, some heuristics are presented to solve the problem with low computational complexity. Finally, the performance of the proposed algorithm is validated through extensive simulations. In addition, the Internet of Things (IoT) heralds a vision of future Internet where all physical things/devices are connected via a network to promote a heightened level of awareness about our world and dramatically improve our daily lives. Nonetheless, most wireless technologies utilizing unlicensed bands cannot provision ubiquitous and quality IoT services. In contrast, cellular networks support large-scale, quality of service guaranteed, and secured communications. However, tremendous proximal communications via local BSs will lead to severe traffic congestion and huge energy consumption in conventional cellular networks. Device-to-device (D2D) communications can potentially offload traffic from and reduce energy consumption of BSs. In order to realize the vision of a truly global IoT, a novel architecture, i.e., overlay-based green relay assisted D2D communications with dual batteries in heterogeneous cellular networks, is introduced. By optimally allocating the network resource, the introduced resource allocation method provisions the IoT services and minimizes the overall energy consumption of the pico relay BSs. By balancing the residual green energy among the pico relay BSs, the green energy utilization is maximized; this furthest saves the on-grid energy. Finally, the performance of the proposed architecture is validated through extensive simulations. Furthermore, the mobile devices serve the important roles in cellular networks and IoT. With the ongoing worldwide development of IoT, an unprecedented number of edge devices imperatively consume a substantial amount of energy. The overall IoT mobile edge devices have been predicted to be the leading energy guzzler in ICT by 2020. Therefore, a three-step green IoT architecture is proposed, i.e., ambient energy harvesting, green energy wireless transfer and green energy balancing, in this research. The latter step reinforces the former one to ensure the availability of green energy. The basic design principles for these three steps are laid out and discussed. In summary, based on the dual-battery architecture, this dissertation research proposes solutions for the three aspects, i.e., green cellular BSs, green D2D communications and green devices, to hopefully and eventually actualize green cellular access networks, as part of the ongoing efforts in greening our society and environment.
590 $a School code: 0152.
650 4 $a Electrical engineering. $3 454503
650 4 $a Communication. $3 180335
650 4 $a Information technology. $3 184390
653 $a Cellular networks
653 $a Green communications
653 $a Internet of Things
653 $a Mobile networks
653 $a Wireless charging
653 $a Wireless communicaions
690 $a 0544
690 $a 0459
690 $a 0489
710 2 $a New Jersey Institute of Technology. $b Helen and John C. Hartmann Department of Electrical and Computer Engineering. $3 886481
773 0 $t Dissertations Abstracts International $g 81-02A.
790 $a 0152
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13807638