Milind Tahalani, V. Sathya, U. S. Suhas, Ramaraju Chaganti, T. B. Reddy
{"title":"Optimal Femto placement in enterprise building","authors":"Milind Tahalani, V. Sathya, U. S. Suhas, Ramaraju Chaganti, T. B. Reddy","doi":"10.1109/ANTS.2013.6802880","DOIUrl":null,"url":null,"abstract":"Deployment of Femtocell Base Stations a.k.a Femtos for improving network coverage and data rates in indoors is an emerging practice in cellular systems. However, if Femtos are not placed optimally they do not provide these improvements, thus defeating the purpose of their deployment in indoors in the first place. In this paper, we propose a novel heuristic solution for Femto placement which guarantees minimum Signal to Interference plus Noise Ratio (SINR) using fewer number of Femtos. We define a mathematical model taking into account the installation requirements and threshold SINR for each Femto. Consequently, resulting LPP model is solved to obtain the optimum number of Femtos and their placement locations. Our proposed placement scheme offers 10% improvement in SINR when compare to random placement of Femtos.","PeriodicalId":286834,"journal":{"name":"2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2013.6802880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Deployment of Femtocell Base Stations a.k.a Femtos for improving network coverage and data rates in indoors is an emerging practice in cellular systems. However, if Femtos are not placed optimally they do not provide these improvements, thus defeating the purpose of their deployment in indoors in the first place. In this paper, we propose a novel heuristic solution for Femto placement which guarantees minimum Signal to Interference plus Noise Ratio (SINR) using fewer number of Femtos. We define a mathematical model taking into account the installation requirements and threshold SINR for each Femto. Consequently, resulting LPP model is solved to obtain the optimum number of Femtos and their placement locations. Our proposed placement scheme offers 10% improvement in SINR when compare to random placement of Femtos.