{"title":"Dynamic profile based paging in mobile communication","authors":"S. Parija, N. P. Nath, P. K. Sahu, S. S. Singh","doi":"10.1109/ICMOCE.2015.7489762","DOIUrl":null,"url":null,"abstract":"In cellular network finding a mobile terminal effectively is a vital component and it has a strong impact on signaling load. Location management has a set of techniques such as location update and paging implemented to reduce this mobility based signaling traffic. Paging and location update techniques work together with to decide in searching of the user on the arrival of a call. Here a profile based paging algorithm is proposed in terms of paging success rate and bandwidth conservation comparing with various other paging algorithms. This work is validated by taking a novel data to profile the users and simulated the algorithm with actual user data. In this work the proposed algorithm gives improved better paging success rate of 3% to 9% and saves bandwidth of 60% to 20% compared to conventional paging and sequential paging respectively.","PeriodicalId":352568,"journal":{"name":"2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMOCE.2015.7489762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In cellular network finding a mobile terminal effectively is a vital component and it has a strong impact on signaling load. Location management has a set of techniques such as location update and paging implemented to reduce this mobility based signaling traffic. Paging and location update techniques work together with to decide in searching of the user on the arrival of a call. Here a profile based paging algorithm is proposed in terms of paging success rate and bandwidth conservation comparing with various other paging algorithms. This work is validated by taking a novel data to profile the users and simulated the algorithm with actual user data. In this work the proposed algorithm gives improved better paging success rate of 3% to 9% and saves bandwidth of 60% to 20% compared to conventional paging and sequential paging respectively.