Capacity and Coverage Analysis of 5G NR Mobile Network Deployment for Indonesia's Urban Market

Rahmawati, Putri; Nashiruddin, Muhammad Imam; Nugraha, Muhammad Adam

doi:10.1109/iaict52856.2021.9532574

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…It was calculated by dividing the number of resources carrying SSS linear average power contributions (in Watt) by the amount of resources carrying SSS linear average power contributions (in Watt) of noise and interference across the same frequency range [23], [25], [26]. These metrics are known as Signal-to-Noise and Interference Ratio Power (SINR) in 4G LTE, and they are essentially the same since they show the signal strength when compared to the amount of noise and interference that the user has received [20], [27], [28]. [24], [29], [30] The frequency of 700 MHz and CA had the same value, possibly because the frequency was 700 MHz as the Primary Cell.…”

Section: Ss-sinr Resultsmentioning

confidence: 99%

The Impact of Real Traffic from Twitter for 5G Network Deployment

Hikmaturokhman¹,

Ramli²,

Suryanegara³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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The utilization of technology, particularly cellular networks, is continuously expanding. This is evident through the increasing number of mobile network operators (MNOs) users, especially in the current era where most things are accomplished online. Consequently, mobile network operators must furnish a comprehensive array of cellular network access services, not just for smartphones but also for other smart devices, to guarantee maximum coverage. With the growing interest in 5G deployment based on low band and millimeter wave communication (mm Wave) for outdoor use scenarios, such as tourist destinations, site design experts are looking for sophisticated real-time traffic data from social media like Twitter to simulate and calculate outdoor radio coverage using 3GPP 38.901 prediction models. This study used the frequencies of 700 MHz and 26 GHz, utilizing Inter-band Carrier Aggregation (CA) to increase data rates while maintaining a wide range and optimizing the number of gNodeBs. This research is intended to monitor the Borobudur Temple area, Indonesia, which serves as a tourist destination and one of the world's wonders, thus making it a densely populated area and inevitably requiring good network connectivity. The parameters used are Synchronization Signal Reference Signal Received Power (SS-RSRP), Synchronization Signal to Interference plus Noise Ratio (SS-SINR) and data rate. The simulation revealed that CA SS-RSRP with traffic map increased by 38.88%, SS-SINR increased by 45.05%, and the peak data rate increased from 5884.12 Mbps to 6199.88 Mbps.

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Section: Ss-sinr Resultsmentioning

confidence: 99%

The Impact of Real Traffic from Twitter for 5G Network Deployment

Hikmaturokhman¹,

Ramli²,

Suryanegara³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…This research uses market share from the largest mobile operator in Indonesia, PT. Telkomsel, with a value approach of 45% and smartphone penetration of 45% [16]. Table 5 shows the results of calculations for the traffic demand projection of Bandung City in 2026.…”

Section: Capacity Analysis Of Traffic Demand Projectionmentioning

confidence: 99%

Sensitivity Options of 5G Non-Standalone Deployment Strategies: A Simulation Model for Emerging Countries

Nashiruddin,

Rahmawati,

Nugraha

et al. 2024

TEM Journal

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Deploying cutting-edge 5G technology is a major challenge for mobile operators in emerging countries, facing hurdles on both the technical and economic fronts. This study provides specific ways in which mobile companies in developing countries can use 5G technology to benefit economically. This study utilizes a sensitivity option with a techno-economic analysis (TEA) simulation model to evaluate business options influencing successful 5G non-standalone (NSA) deployment in these markets, using Indonesia’s Bandung City as a case study. The analysis finds that Bandung requires 172 5G gNodeBs to meet traffic demand. Further, the 5G NSA deployment delivers strong key performance indicators (KPIs), with good signal synchronization received power (SS-RSRP) and signal-to-interference noise ratio (SS-SINR). Sensitivity analysis identifies the gNodeB amount as the most critical parameter impacting overall 5G NSA deployment feasibility. Overall, the analysis indicates mobile operators can recover investments after 3 years and 10 months, providing evidence for the viability of 5G NSA deployment in Bandung’s urban area.

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“…Capacity and coverage of 5G HetNets are very closely related. 5G new radio capacity and coverage have been analyzed for Indonesian urban environment by Rahmawati et al (2021). In this research, the authors analyzed the performances of 3.5 GHz band for capacity and coverage of 5G HetNets in the urban areas.…”

Section: Related Workmentioning

confidence: 99%

Capacity Performance Analysis of 73 GHz Frequency Band for 5G Technology

Goshe

Routray

2022

Journal of Technological Advancements

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Small cells, millimeter waves (mmW), and massive multiple-input multiple-output (MIMO) deployments have emerged as key technologies for mobile systems in the fifth generation (5G). However, a very few studies have been done on combining these three technologies into the cellular systems. In this paper, the authors provide an in-depth capacity analysis for the integrated small cells of mmW systems. Small cells are deployed for enhancing the capacity. It turns out that mmW signals are responsive to blockages, leading the line of sight (LOS) and non-line of sight (NLOS) conditions to have very different path loss rules. They divide power research into low signal-to-noise (SNR) and high SNR regimes based on signal-to-interference plus noise ratio. In the noise-dominated (low-SNR regime), the capacity analysis is derived by the simplest assumptions of the Shannon-Hartley theorem. The results of this study show that under NLOS and LOS scenarios, mmW frequency and distance between the user equipment and base station decrease logarithmically for system capacity.

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Capacity and Coverage Analysis of 5G NR Mobile Network Deployment for Indonesia's Urban Market

Cited by 9 publications

References 4 publications

The Impact of Real Traffic from Twitter for 5G Network Deployment

The Impact of Real Traffic from Twitter for 5G Network Deployment

Sensitivity Options of 5G Non-Standalone Deployment Strategies: A Simulation Model for Emerging Countries

Capacity Performance Analysis of 73 GHz Frequency Band for 5G Technology

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