Design and control of the interconnecting network of the access segment of mobile communications systems

  • Authors:

  • C. Sarantinopoulos;D. Karagiannis;K. Peppas;P. Demestichas;E. Tzifa;V. Demesticha;M. Theologou

  • Affiliations:

  • Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece;Telecommunications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zographou, 15773 Athens, Greece

  • Venue:
  • Computer Communications
  • Year:
  • 2003

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Abstract

In mobile communication systems, the network segment interconnecting the Base Station (BS) layout with the Base Station Controllers (BSCs) and the BSCs with the Fixed Network Switches (FNSs) should be carefully designed and controlled. This paper presents techniques for the efficient design and control (reconfiguration) of this network segment. The corresponding problems are formally defined and mathematically formulated. Two solutions are presented to the design problem, based on the genetic algorithm and the simulated annealing paradigms. Additionally, a third solution, based on neural networks, is proposed for the control (reconfiguration) problem. Results are provided indicating the efficiency of the proposed algorithms.