{"title":"Quality of Experience Aware Medium Access Control in Attocell Network","authors":"Kshitiza Singh, A. Dixit, V. Jain","doi":"10.1109/ANTS50601.2020.9342768","DOIUrl":null,"url":null,"abstract":"With the development of converged optical-wireless networks, the mobile users can access a very high bandwidth, any time and anywhere, for the upcoming real-time applications. In the modern digital world, quality-of-experience (QoE) has become the central area of concern to ensure end-to-end user satisfaction. In this paper, we analyze the quality-of-service (QoS) for different traffic classes for a radio-over-fiber (RoF) based attocell network. For this, we use a simple polling algorithm with dynamic weighted queuing for grant sizing and maintains a delay within the maximum bounds for high and medium priority traffic classes with high channel utilization. Further, we propose a model to map QoE with the QoS parameters, like delay, jitter, and packet loss rate, and quantify QoE by representing the degree of user satisfaction by a mean opinion score.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS50601.2020.9342768","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
With the development of converged optical-wireless networks, the mobile users can access a very high bandwidth, any time and anywhere, for the upcoming real-time applications. In the modern digital world, quality-of-experience (QoE) has become the central area of concern to ensure end-to-end user satisfaction. In this paper, we analyze the quality-of-service (QoS) for different traffic classes for a radio-over-fiber (RoF) based attocell network. For this, we use a simple polling algorithm with dynamic weighted queuing for grant sizing and maintains a delay within the maximum bounds for high and medium priority traffic classes with high channel utilization. Further, we propose a model to map QoE with the QoS parameters, like delay, jitter, and packet loss rate, and quantify QoE by representing the degree of user satisfaction by a mean opinion score.