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Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems

Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems

Marcos Antônio de Sousa, Carlos M. F. Carlson, Flávio Henrique Teles Vieira
Copyright: © 2015 |Pages: 31
ISBN13: 9781466672581|ISBN10: 1466672587|EISBN13: 9781466672598
DOI: 10.4018/978-1-4666-7258-1.ch005
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MLA

Antônio de Sousa, Marcos, et al. "Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems." Handbook of Research on Artificial Intelligence Techniques and Algorithms, edited by Pandian Vasant, IGI Global, 2015, pp. 152-182. https://doi.org/10.4018/978-1-4666-7258-1.ch005

APA

Antônio de Sousa, M., Carlson, C. M., & Vieira, F. H. (2015). Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems. In P. Vasant (Ed.), Handbook of Research on Artificial Intelligence Techniques and Algorithms (pp. 152-182). IGI Global. https://doi.org/10.4018/978-1-4666-7258-1.ch005

Chicago

Antônio de Sousa, Marcos, Carlos M. F. Carlson, and Flávio Henrique Teles Vieira. "Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems." In Handbook of Research on Artificial Intelligence Techniques and Algorithms, edited by Pandian Vasant, 152-182. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-7258-1.ch005

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Abstract

The offer of innovative technologies and the growth of demands to new services, especially those with higher transmission rates, make the access network planning an important stage in the evolution of cellular systems. Several technological options of transmission systems are already available and to choose the best among them is a great challenge for network planners. This chapter presents a study for strategic planning of the interconnection of base stations in a cellular mobile network. The allocation and dimensioning of transmission equipment are carried out admitting inexact forecast on service's demand values. The techno-economical evaluation is driven by max-revenue criterion and is based on the concept of triangular fuzzy number. An application of the method is shown and its implications are discussed in this chapter.

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