Mobile Traffic Assessment for 4G Network: Virtual Sample Region Approach

Cheon, Kyung-yul; Kwon, Hyuk‐Jun; Kim, Igor; Park, Seungkeun; Choi, Jun Kyun

doi:10.23919/icact48636.2020.9061285

Cited by 1 publication

(4 citation statements)

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“…For evaluation for capacity margin, [5 ] derived the downlink network capacity and traffic volume of the 4G network from March 2017 to March 2019. Although [5 ] evaluated the capacity margin for 2 years in VSR, there was no prediction of it. In this section, we estimate and predict the network capacity and traffic volume in VSR until 2024.…”

Section: Methodology For Accessing Network Balancementioning

confidence: 99%

“…We use the virtual sample region (VSR) model to estimate the capacity margin of the traffic‐intensive area [5 ]. VSR is defined as a virtual area consisted of cells within the top 10% RB usage rate (RBU) based on the average of the busy hour RB utilisation over the weekday of every third week.…”

Section: Traffic‐intensive Region Scale Conceptmentioning

confidence: 99%

“…The 4G MNOs should increase the number of cells of the 1.8 GHz band by 14%, 2.1 GHz band by 18%, and 2.6 GHz band by 17% in 2020 in South Korea. Meanwhile, we use the spectral efficiency as simulated value by system‐level simulator from [5 ] where the inter‐site distance (ISD) defines 200 m. The simulated spectral efficiency is shown in Fig. 3 b .…”

Section: Network Capacitymentioning

confidence: 99%

“…However, this methodology is limited to analysis for a single‐cell scale without considering the statistical characteristics of the whole network. Meanwhile, in the case of national‐scale assessment [3 ], network capacity should be estimated based on the traffic‐intensive area in consideration of regional traffic density distribution since spectrum resources are not shared regionally [5 ]. In this Letter, we use a resource block (RB) usage rate of a cell as a criterion for traffic density [6 ] since the maximum throughput of a cell depends on spectral efficiency by each radio environment and varies over time.…”

Section: Introductionmentioning

confidence: 99%

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The mobile network operators should expand their network capacity as service traffic increases in mobile networks. It is important to balance network capacity and traffic volume in terms of service quality and operating costs, and this network balance can be quantified by the capacity margin, which is defined as the difference between network capacity and traffic volume. There are two approaches to assess the network capacity: single‐cell and national scale. However, the single‐cell approach has too narrow to estimate the whole operator network, and the national scale approach should consider regional traffic density distribution. This Letter proposes a methodology for assessing the capacity margin from the perspective of traffic‐intensive regions where the actual network balance is determined. The authors introduce the concept of a virtual sample region that consists of traffic‐intensive cells in the metropolitan area. Then they show the methodology to estimate and predict the network capacity and traffic trends in this region. Finally, they derive the capacity margin of the mobile network. They used the real measured data in the top 10% traffic‐intensive cells about three years in Seoul, South Korea, and evaluated 4G downlink capacity margin in this region until 2024.

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Section: Methodology For Accessing Network Balancementioning

confidence: 99%

Section: Traffic‐intensive Region Scale Conceptmentioning

confidence: 99%

Section: Network Capacitymentioning

confidence: 99%