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Zaidi, SAR; Afzal, A; Hafeez, M; Ghogho, M; McLernon, DC; Swami, A (2015)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Article
Subjects:

Classified by OpenAIRE into

arxiv: Computer Science::Networking and Internet Architecture
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.
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    • [3] S. Zaidi, D. McLernon, and M. Ghogho, “Breaking the area spectral efficiency wall in cognitive underlay networks,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 2205-2221, November 2014.
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    • [6] S. Mukherjee and H. Ishii, “Energy efficiency in the phantom cell enhanced local area architecture,” in IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013, pp. 1267-1272.
    • [7] S. Zaidi, M. Ghogho, D. C. McLernon, and A. Swami, “Energy harvesting empowered cognitive metro-cellular networks,” in 1st International Workshop on Cognitive Cellular Systems (CCS). IEEE, 2014, pp. 1-5.
    • [8] W. B. Stine and M. Geyer, Power from the Sun. powerfromthesun.net, 2001.
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