Arijit Paul, Quazi Rahman, S. Bandyopadhyay, Y. Aneja
{"title":"A fast approach to solve the Route and Spectrum Allocation problem in OFDM networks","authors":"Arijit Paul, Quazi Rahman, S. Bandyopadhyay, Y. Aneja","doi":"10.1145/2684464.2684501","DOIUrl":null,"url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) has recently emerged as a promising technology. A network using OFDM based Spectrum-sliced Elastic Optical Path (SLICE) has a higher spectrum efficiency, due to the fine granularity of subcarrier frequencies used. To minimize the utilized spectrum in SLICE networks, the routing and spectrum allocation problem (RSA) has to be efficiently solved. We have solved the RSA problem using a Mixed Integer Linear Programming (MILP) formulation and have compared our approaches with another recent formulation.","PeriodicalId":298587,"journal":{"name":"Proceedings of the 16th International Conference on Distributed Computing and Networking","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2684464.2684501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Orthogonal Frequency Division Multiplexing (OFDM) has recently emerged as a promising technology. A network using OFDM based Spectrum-sliced Elastic Optical Path (SLICE) has a higher spectrum efficiency, due to the fine granularity of subcarrier frequencies used. To minimize the utilized spectrum in SLICE networks, the routing and spectrum allocation problem (RSA) has to be efficiently solved. We have solved the RSA problem using a Mixed Integer Linear Programming (MILP) formulation and have compared our approaches with another recent formulation.
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