An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective
Rising popularity of online gaming and video streaming applications are making tremendous data demands on cellular networks. With higher resolutions, novel multimedia services, and ubiquitous video streaming, the objective to fulfill the quality constraints becomes critical and challenging. It is im...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8721056/ |
| _version_ | 1818412502477701120 |
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| author | Seungkeun Park Mamta Agiwal Hyeyeon Kwon Hu Jin |
| author_facet | Seungkeun Park Mamta Agiwal Hyeyeon Kwon Hu Jin |
| author_sort | Seungkeun Park |
| collection | DOAJ |
| description | Rising popularity of online gaming and video streaming applications are making tremendous data demands on cellular networks. With higher resolutions, novel multimedia services, and ubiquitous video streaming, the objective to fulfill the quality constraints becomes critical and challenging. It is important that a network operator is able to optimize its resource usage while being able to guarantee the quality of service (QoS) to its subscribers. To this regard, we first propose a methodology to evaluate the upper limits on the traffic volume and the usage of resource blocks for a single cell to ensure seamless video streaming in dense urban environments. By applying these upper limits to the cells distributed in a large area, we subsequently investigate if the deployed spectrum of a network operator is sufficient to address the traffic demands without compromising the QoS. In particular, the upper limits are evaluated by considering practical resource usage pattern of video streaming along with the spectral efficiency analysis. Our statistical study is based on real time, in-field measurements from live LTE-A systems in Seoul, South Korea. Moreover, using system level simulations we forecast the average spectral efficiency of a cell which can be utilized to predict the cell traffic volume per hour. The understanding of current practical resource usage in LTE-A systems along with the methodology proposed in this paper can help network operators for efficient future spectrum deployments. |
| first_indexed | 2024-12-14T10:48:20Z |
| format | Article |
| id | doaj.art-5ba35e1a08d545028060e91edd63a473 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:48:20Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5ba35e1a08d545028060e91edd63a4732022-12-21T23:05:21ZengIEEEIEEE Access2169-35362019-01-017678636787310.1109/ACCESS.2019.29186468721056An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization PerspectiveSeungkeun Park0Mamta Agiwal1Hyeyeon Kwon2Hu Jin3https://orcid.org/0000-0002-3505-6843Electronics and Telecommunications Research Institute (ETRI), Daejeon, South KoreaResearch Institute of Engineering and Technology, Hanyang University, Ansan, South KoreaElectronics and Telecommunications Research Institute (ETRI), Daejeon, South KoreaDivision of Electrical Engineering, Hanyang University, Ansan, South KoreaRising popularity of online gaming and video streaming applications are making tremendous data demands on cellular networks. With higher resolutions, novel multimedia services, and ubiquitous video streaming, the objective to fulfill the quality constraints becomes critical and challenging. It is important that a network operator is able to optimize its resource usage while being able to guarantee the quality of service (QoS) to its subscribers. To this regard, we first propose a methodology to evaluate the upper limits on the traffic volume and the usage of resource blocks for a single cell to ensure seamless video streaming in dense urban environments. By applying these upper limits to the cells distributed in a large area, we subsequently investigate if the deployed spectrum of a network operator is sufficient to address the traffic demands without compromising the QoS. In particular, the upper limits are evaluated by considering practical resource usage pattern of video streaming along with the spectral efficiency analysis. Our statistical study is based on real time, in-field measurements from live LTE-A systems in Seoul, South Korea. Moreover, using system level simulations we forecast the average spectral efficiency of a cell which can be utilized to predict the cell traffic volume per hour. The understanding of current practical resource usage in LTE-A systems along with the methodology proposed in this paper can help network operators for efficient future spectrum deployments.https://ieeexplore.ieee.org/document/8721056/Spectrum usagetraffic volumeresource blockspectral efficiencyvideo streaming |
| spellingShingle | Seungkeun Park Mamta Agiwal Hyeyeon Kwon Hu Jin An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective IEEE Access Spectrum usage traffic volume resource block spectral efficiency video streaming |
| title | An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective |
| title_full | An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective |
| title_fullStr | An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective |
| title_full_unstemmed | An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective |
| title_short | An Evaluation Methodology for Spectrum Usage in LTE-A Networks: Traffic Volume and Resource Utilization Perspective |
| title_sort | evaluation methodology for spectrum usage in lte a networks traffic volume and resource utilization perspective |
| topic | Spectrum usage traffic volume resource block spectral efficiency video streaming |
| url | https://ieeexplore.ieee.org/document/8721056/ |
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