{"title":"MAS5G: Move Around Smartly in 5G","authors":"Shylendra Kumar, Rahul Banerji, Naman Gupta, Suman Kumar, Sukhdeep Singh, Avinash Bhat, Seungil Yoon, Shatarupa Dash","doi":"10.1109/FiCloud.2019.00037","DOIUrl":null,"url":null,"abstract":"5th Generation (5G) mobile networks is anticipated to serve large number of devices with multiple services in the single network. Due to heterogeneous service demand in a single network, 5G is presumed to be service based amalgamated with network slicing. The network will create a dedicated slice with dedicated resources and network elements based on the requested service. With so many devices and services under one umbrella of 5G, mobility becomes one of the crucial aspect, which can further have lot of impact on 5G NR (New Radio) requirements such as, radio resource optimization, seamless connectivity, minimal handovers and Quality of Experience (QoE). MAS5G (Move Smartly in 5G) explores the avenues of mobility management, wherein we consider three main services of 5G i.e. (1) enhanced Mobile Broadband (eMBB), (2) Ultra Reliable Low Latency Communications (URLLC) and (3) massive Machine Type Communications (mMTC). Unlike considering single mobility policy for all type of services (in the current networks), we propose MAS5G Central Mobility Manager (CMM), which will create dedicated schema for each service based on the network slice. With the help of User Equipment (UE) capability if network slice subscribed by subscriber is having skewed features and mobility requirement, MAS5G CMM creates schema as per the requirements of a particular network slice. It can help Access and Mobility Management Function (AMF) to provide dedicated attributes of Access and Mobility applied to devices based on predefined schemas. Through our simulation experiment, based on real time mMTC and eMBB traffic traces, we show that MAS5G is able to curtail the number of handovers, thus, saving the energy at UE significantly, which further helps to boost the QoE.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FiCloud.2019.00037","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
5th Generation (5G) mobile networks is anticipated to serve large number of devices with multiple services in the single network. Due to heterogeneous service demand in a single network, 5G is presumed to be service based amalgamated with network slicing. The network will create a dedicated slice with dedicated resources and network elements based on the requested service. With so many devices and services under one umbrella of 5G, mobility becomes one of the crucial aspect, which can further have lot of impact on 5G NR (New Radio) requirements such as, radio resource optimization, seamless connectivity, minimal handovers and Quality of Experience (QoE). MAS5G (Move Smartly in 5G) explores the avenues of mobility management, wherein we consider three main services of 5G i.e. (1) enhanced Mobile Broadband (eMBB), (2) Ultra Reliable Low Latency Communications (URLLC) and (3) massive Machine Type Communications (mMTC). Unlike considering single mobility policy for all type of services (in the current networks), we propose MAS5G Central Mobility Manager (CMM), which will create dedicated schema for each service based on the network slice. With the help of User Equipment (UE) capability if network slice subscribed by subscriber is having skewed features and mobility requirement, MAS5G CMM creates schema as per the requirements of a particular network slice. It can help Access and Mobility Management Function (AMF) to provide dedicated attributes of Access and Mobility applied to devices based on predefined schemas. Through our simulation experiment, based on real time mMTC and eMBB traffic traces, we show that MAS5G is able to curtail the number of handovers, thus, saving the energy at UE significantly, which further helps to boost the QoE.