{"title":"Mobility Robustness Optimization by using SON in Heterogeneous Network","authors":"Fereshteh Atri Niasar, A. Momen","doi":"10.1109/AICT52784.2021.9620428","DOIUrl":null,"url":null,"abstract":"Based on the Long Term Evolution (LTE) coverage and capacity limitation for indoor and interference area, femtocells with low power nodes have been proposed and deployed for add more coverage and capacity in mobile data network. For inter working between femtocells and LTE network handover and mobility management are the important key to achieve the best performance. Cell range of femtocells is smaller than macro cells and main propose for applying and using femtocells are increasing up link coverage. Because of femtocells have low coverage area, so probability of frequently active and no -active for these cells has high value. According to this property, number of handover attempt between LTE to femtocells and femtocells to femtocells has been increased, thus percentage successful handover may be affected, and we face degradation in this index. One important and practical solution is to use mobility robustness feature and load balancing for reduce unnecessarily and handover failure. In this paper we consider on a gradient method and cost function based on Mobility Robustness optimization (MRO) and load balancing scheme to improve the handover and mobility management performance. Self-organizing network(SON) is used to enhance the efficiency and reliability. The simulation results show that the proposed scheme with load balancing has better performance than Non-balancing.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT52784.2021.9620428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Based on the Long Term Evolution (LTE) coverage and capacity limitation for indoor and interference area, femtocells with low power nodes have been proposed and deployed for add more coverage and capacity in mobile data network. For inter working between femtocells and LTE network handover and mobility management are the important key to achieve the best performance. Cell range of femtocells is smaller than macro cells and main propose for applying and using femtocells are increasing up link coverage. Because of femtocells have low coverage area, so probability of frequently active and no -active for these cells has high value. According to this property, number of handover attempt between LTE to femtocells and femtocells to femtocells has been increased, thus percentage successful handover may be affected, and we face degradation in this index. One important and practical solution is to use mobility robustness feature and load balancing for reduce unnecessarily and handover failure. In this paper we consider on a gradient method and cost function based on Mobility Robustness optimization (MRO) and load balancing scheme to improve the handover and mobility management performance. Self-organizing network(SON) is used to enhance the efficiency and reliability. The simulation results show that the proposed scheme with load balancing has better performance than Non-balancing.