Title :
Automatic planning of GPON/FTTH networks based on Lagrangian Heuristic optimization
Author :
Ling Cen ; Kin Fai Poon ; Zhu Liang Yu ; Ouali, Abderrazak
Author_Institution :
Etisalat British Telecom Innovation Centre, Khalifa Univ. of Sci., Abu Dhabi, United Arab Emirates
Abstract :
Gigabit Passive Optical Network / Fiber To The Home (GPON/FTTH) has been of increasing interest for the broadband access network due to its inherent advantages, such as high bandwidth, immunity against electromagnetic interference, no active components required, and low cost. The planning of GPON, however, is a very difficult and time-consuming task. Many design factors such as the number, types, positions of network elements and routing information, have to be considered. In this paper, an automatic GPON design method is proposed, which models the network planning design as a problem of the form of Binary Integer Programming (BIP). The BIP optimization problem that is in nature a NP-hard problem is solved using a Lagrangian Heuristic algorithm. Experiment results have been given to show the effectiveness of the proposed method to identify the optimal placement of distribution points with lower computational cost in network planning.
Keywords :
electromagnetic interference; integer programming; passive optical networks; telecommunication network planning; BIP optimization problem; GPON/FTTH networks; Lagrangian Heuristic optimization; NP-hard problem; automatic GPON design method; automatic planning; binary integer programming; broadband access network; distribution points; electromagnetic interference; gigabit passive optical network / fiber to the home; network planning; network planning design; optimal placement; Linear programming; Operations research; Optical fiber cables; Optical fiber subscriber loops; Optimization; Passive optical networks; Planning; Binary Integer Programming (BIP); Gigabit Passive Optical Network (GPON); Lagrangian relaxation; heuristic; network planning;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location :
Bangkok
DOI :
10.1109/IEEM.2013.6962429