DocumentCode :
2466855
Title :
Dynamic access network reorganization for the depopulation age
Author :
Nakayama, Yu
Author_Institution :
NTT Access Network Service Syst. Labs., NTT Corp., Yokosuka, Japan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
941
Lastpage :
946
Abstract :
The populations of industrialized countries will decline over the coming decades. To ensure that we have efficient access networks in the coming age of depopulation, it is important to consider the reorganization of central offices over time. Dynamic facility location models have been developed. However, they largely focus on the problem of optimally expanding a network over time to meet increasing demand. Their practical relevance is limited because their complexity and the amount of data they require are much greater than with static models. This paper proposes a dynamic access network reorganization model for the depopulation age. Although the proposed model is a dynamic model, it is simple because it assumes that the only option will be to close central offices. The model first searches for a set of optimal solutions for each planning period as a capacitated facility location problem. Then, it selects the optimal combination of optimal solutions that can minimize the total number of open offices with the limitation of network reorganization. The validity of the proposed model was evaluated with computer simulations. They revealed that although the proposed model is a dynamic model it is simple and practical.
Keywords :
facility location; next generation networks; optical fibre subscriber loops; public administration; telecommunication network planning; telecommunication network routing; telecommunication switching; FTTH access network; NGN; capacitated facility location problem; central office reorganization; complexity; computer simulation; depopulation age; dynamic access network reorganization; dynamic facility location model; edge router; fiber to the home access network; industrialized countries; layer-2 switch; next generation network; optimal solution; planning period; static model; Geographic information systems; Heuristic algorithms; Linear programming; Passive optical networks; Planning; Sociology; Statistics; Communication systems; decision support systems; geographic information systems; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377849
Filename :
6377849
Link To Document :
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