S. G. Ambriz, R. Menchaca-Méndez, M. E. Rivero-Angeles
{"title":"5GTraDis: A novel traffic distribution mechanism for 5G Heterogeneous Networks","authors":"S. G. Ambriz, R. Menchaca-Méndez, M. E. Rivero-Angeles","doi":"10.1109/ICEEE.2016.7751247","DOIUrl":null,"url":null,"abstract":"5G Heterogeneous Networks (HetNets) represent a promising solution to meet the continuous traffic demand originated mainly by the new mobile applications with real and non-real time requirements, new devices, cloud services, IoT and the novel IoE applications. The incorporation of traffic offloading techniques to deal with these demands is an essential part to be implemented in the future networks. Current techniques are focused on implementing policies about how to address the traffic between end users and a network entity (e.g., Macrocell or Small Cell). However, a number of issues can arise if the network topology is not considered in order to transport the traffic from sources to destinations. In this work we present a new traffic distribution technique that takes advantage of the expected 5G Heterogeneous Networks capabilities to bring significant gains in traffic distribution, resilience and overall network capacity improvements in such networks. Our technique is oriented to establishing topologies that improve the overall connectivity by incorporating communication links between any network component (e.g., small cell to small cell, macrocell to macrocell) as a way to offload traffic from congested zones. Our experimental results shows that the proposed scheme outperform traditional HetNets.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"160 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2016.7751247","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
5G Heterogeneous Networks (HetNets) represent a promising solution to meet the continuous traffic demand originated mainly by the new mobile applications with real and non-real time requirements, new devices, cloud services, IoT and the novel IoE applications. The incorporation of traffic offloading techniques to deal with these demands is an essential part to be implemented in the future networks. Current techniques are focused on implementing policies about how to address the traffic between end users and a network entity (e.g., Macrocell or Small Cell). However, a number of issues can arise if the network topology is not considered in order to transport the traffic from sources to destinations. In this work we present a new traffic distribution technique that takes advantage of the expected 5G Heterogeneous Networks capabilities to bring significant gains in traffic distribution, resilience and overall network capacity improvements in such networks. Our technique is oriented to establishing topologies that improve the overall connectivity by incorporating communication links between any network component (e.g., small cell to small cell, macrocell to macrocell) as a way to offload traffic from congested zones. Our experimental results shows that the proposed scheme outperform traditional HetNets.