Solar energy empowered 5G cognitive metro-cellular networks

SAR Zaidi, Asma Afzal, Maryam Hafeez, D C McLernon, Mounir Ghogho, Anantharam Swami

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Harvesting energy from natural (solar, wind, vibration, etc.) and synthesized (microwave power transfer) sources is envisioned as a key enabler for realizing green wireless networks. Energy efficient scheduling is one of the prime objectives in emerging cognitive radio platforms. To that end, in this article we present a comprehensive framework to characterize the performance of a cognitive metro-cellular network empowered by solar energy harvesting. The proposed model allows designers to capture both the spatial and temporal dynamics of the energy field and the mobile user traffic. A new definition for the “energy outage probability” metric, which characterizes the self-sustainable operation of the base stations under energy harvesting, is proposed, and the process for quantifying is described with the help of a case study for various UK cities. It is shown that the energy outage probability is strongly coupled with the path-loss exponent, required quality of service, and base station and user density. Moreover, the energy outage probability varies both on a daily and yearly basis depending on the solar geometry. It is observed that even in winter, BSs can run for three to six hours without any purchase of energy from the power grid by harvesting instantaneous energy.
Original languageEnglish
Pages (from-to)70-77
Number of pages8
JournalIEEE Communications Magazine
Volume53
Issue number7
DOIs
Publication statusPublished - 17 Jul 2015
Externally publishedYes

Fingerprint

Energy harvesting
Solar energy
Outages
Base stations
Filling stations
Solar wind
Cognitive radio
Vibrations (mechanical)
Wireless networks
Quality of service
Scheduling
Microwaves
Geometry

Cite this

Zaidi, SAR ; Afzal, Asma ; Hafeez, Maryam ; McLernon, D C ; Ghogho, Mounir ; Swami, Anantharam. / Solar energy empowered 5G cognitive metro-cellular networks. In: IEEE Communications Magazine. 2015 ; Vol. 53, No. 7. pp. 70-77.
@article{077b4797b8404a508c9d48e02cacbb83,
title = "Solar energy empowered 5G cognitive metro-cellular networks",
abstract = "Harvesting energy from natural (solar, wind, vibration, etc.) and synthesized (microwave power transfer) sources is envisioned as a key enabler for realizing green wireless networks. Energy efficient scheduling is one of the prime objectives in emerging cognitive radio platforms. To that end, in this article we present a comprehensive framework to characterize the performance of a cognitive metro-cellular network empowered by solar energy harvesting. The proposed model allows designers to capture both the spatial and temporal dynamics of the energy field and the mobile user traffic. A new definition for the “energy outage probability” metric, which characterizes the self-sustainable operation of the base stations under energy harvesting, is proposed, and the process for quantifying is described with the help of a case study for various UK cities. It is shown that the energy outage probability is strongly coupled with the path-loss exponent, required quality of service, and base station and user density. Moreover, the energy outage probability varies both on a daily and yearly basis depending on the solar geometry. It is observed that even in winter, BSs can run for three to six hours without any purchase of energy from the power grid by harvesting instantaneous energy.",
author = "SAR Zaidi and Asma Afzal and Maryam Hafeez and McLernon, {D C} and Mounir Ghogho and Anantharam Swami",
year = "2015",
month = "7",
day = "17",
doi = "10.1109/MCOM.2015.7158268",
language = "English",
volume = "53",
pages = "70--77",
journal = "IEEE Communications Magazine",
issn = "0163-6804",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

Zaidi, SAR, Afzal, A, Hafeez, M, McLernon, DC, Ghogho, M & Swami, A 2015, 'Solar energy empowered 5G cognitive metro-cellular networks', IEEE Communications Magazine, vol. 53, no. 7, pp. 70-77. https://doi.org/10.1109/MCOM.2015.7158268

Solar energy empowered 5G cognitive metro-cellular networks. / Zaidi, SAR; Afzal, Asma; Hafeez, Maryam; McLernon, D C ; Ghogho, Mounir; Swami, Anantharam.

In: IEEE Communications Magazine, Vol. 53, No. 7, 17.07.2015, p. 70-77.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Solar energy empowered 5G cognitive metro-cellular networks

AU - Zaidi, SAR

AU - Afzal, Asma

AU - Hafeez, Maryam

AU - McLernon, D C

AU - Ghogho, Mounir

AU - Swami, Anantharam

PY - 2015/7/17

Y1 - 2015/7/17

N2 - Harvesting energy from natural (solar, wind, vibration, etc.) and synthesized (microwave power transfer) sources is envisioned as a key enabler for realizing green wireless networks. Energy efficient scheduling is one of the prime objectives in emerging cognitive radio platforms. To that end, in this article we present a comprehensive framework to characterize the performance of a cognitive metro-cellular network empowered by solar energy harvesting. The proposed model allows designers to capture both the spatial and temporal dynamics of the energy field and the mobile user traffic. A new definition for the “energy outage probability” metric, which characterizes the self-sustainable operation of the base stations under energy harvesting, is proposed, and the process for quantifying is described with the help of a case study for various UK cities. It is shown that the energy outage probability is strongly coupled with the path-loss exponent, required quality of service, and base station and user density. Moreover, the energy outage probability varies both on a daily and yearly basis depending on the solar geometry. It is observed that even in winter, BSs can run for three to six hours without any purchase of energy from the power grid by harvesting instantaneous energy.

AB - Harvesting energy from natural (solar, wind, vibration, etc.) and synthesized (microwave power transfer) sources is envisioned as a key enabler for realizing green wireless networks. Energy efficient scheduling is one of the prime objectives in emerging cognitive radio platforms. To that end, in this article we present a comprehensive framework to characterize the performance of a cognitive metro-cellular network empowered by solar energy harvesting. The proposed model allows designers to capture both the spatial and temporal dynamics of the energy field and the mobile user traffic. A new definition for the “energy outage probability” metric, which characterizes the self-sustainable operation of the base stations under energy harvesting, is proposed, and the process for quantifying is described with the help of a case study for various UK cities. It is shown that the energy outage probability is strongly coupled with the path-loss exponent, required quality of service, and base station and user density. Moreover, the energy outage probability varies both on a daily and yearly basis depending on the solar geometry. It is observed that even in winter, BSs can run for three to six hours without any purchase of energy from the power grid by harvesting instantaneous energy.

U2 - 10.1109/MCOM.2015.7158268

DO - 10.1109/MCOM.2015.7158268

M3 - Article

VL - 53

SP - 70

EP - 77

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

SN - 0163-6804

IS - 7

ER -