The search functionality is under construction.
The search functionality is under construction.

Telecommunications Network Planning Method Based on Probabilistic Risk Assessment

Nagao OGINO, Hajime NAKAMURA

  • Full Text Views

    0

  • Cite this

Summary :

Telecommunications networks have become an important social infrastructure, and their robustness is considered to be a matter of social significance. Conventional network planning methods are generally based on the maximum volume of ordinary traffic and only assume explicitly specified failure scenarios. Therefore, present networks have marginal survivability against multiple failures induced by an extraordinarily high volume of traffic generated during times of natural disasters or popular social events. This paper proposes a telecommunications network planning method based on probabilistic risk assessment. In this method, risk criterion reflecting the degree of risk due to extraordinarily large traffic loads is predefined and estimated using probabilistic risk assessment. The probabilistic risk assessment can efficiently calculate the small but non-negligible probability that a series of multiple failures will occur in the considered network. Detailed procedures for the proposed planning method are explained using a district mobile network in terms of the extraordinarily large traffic volume resulting from earthquakes. As an application example of the proposed method, capacity dimensioning for the local session servers within the district mobile network is executed to reduce the risk criterion most effectively. Moreover, the optimum traffic-rerouting scheme that minimizes the estimated risk criterion is ascertained simultaneously. From the application example, the proposed planning method is verified to realize a telecommunications network with sufficient robustness against the extraordinarily high volume of traffic caused by the earthquakes.

Publication
IEICE TRANSACTIONS on Communications Vol.E94-B No.12 pp.3459-3470
Publication Date
2011/12/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E94.B.3459
Type of Manuscript
PAPER
Category
Network

Authors

Keyword