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Energy Efficient Schemes for Base Station Management in 4G Broadband Systems

Energy Efficient Schemes for Base Station Management in 4G Broadband Systems

Alexandra Bousia, Elli Kartsakli, Angelos Antonopoulos, Luis Alonso, Christos Verikoukis
Copyright: © 2014 |Pages: 21
ISBN13: 9781466648883|ISBN10: 1466648880|EISBN13: 9781466648890
DOI: 10.4018/978-1-4666-4888-3.ch006
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MLA

Bousia, Alexandra, et al. "Energy Efficient Schemes for Base Station Management in 4G Broadband Systems." Broadband Wireless Access Networks for 4G: Theory, Application, and Experimentation, edited by Raul Aquino Santos, et al., IGI Global, 2014, pp. 100-120. https://doi.org/10.4018/978-1-4666-4888-3.ch006

APA

Bousia, A., Kartsakli, E., Antonopoulos, A., Alonso, L., & Verikoukis, C. (2014). Energy Efficient Schemes for Base Station Management in 4G Broadband Systems. In R. Santos, V. Licea, & A. Edwards-Block (Eds.), Broadband Wireless Access Networks for 4G: Theory, Application, and Experimentation (pp. 100-120). IGI Global. https://doi.org/10.4018/978-1-4666-4888-3.ch006

Chicago

Bousia, Alexandra, et al. "Energy Efficient Schemes for Base Station Management in 4G Broadband Systems." In Broadband Wireless Access Networks for 4G: Theory, Application, and Experimentation, edited by Raul Aquino Santos, Victor Rangel Licea, and Arthur Edwards-Block, 100-120. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4888-3.ch006

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Abstract

Reducing the energy consumption in wireless networks has become a significant challenge, not only because of its great impact on the global energy crisis, but also because it represents a noteworthy cost for telecommunication operators. The Base Stations (BSs), constituting the main component of wireless infrastructure and the major contributor to the energy consumption of mobile cellular networks, are usually designed and planned to serve their customers during peak times. Therefore, they are more than sufficient when the traffic load is low. In this chapter, the authors propose a number of BSs switching off algorithms as an energy efficient solution to the problem of redundancy of network resources. They demonstrate via analysis and by means of simulations that one can achieve reduction in energy consumption when one switches off the unnecessary BSs. In particular, the authors evaluate the energy that can be saved by progressively turning off BSs during the periods when traffic decreases depending on the traffic load variations and the distance between the BS and their associated User Equipments (UEs). In addition, the authors show how to optimize the energy savings of the network by calculating the most energy-efficient combination of switched off and active BSs.

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