Planning of 5G New Radio (NR) mmWave 26 GHz in Karawang Industrial Area

Barutu, Stevani Br; Hikmaturokhman, Alfin; Praja, Muhammad Panji Kusuma

doi:10.1109/comnetsat50391.2020.9329010

Cited by 4 publications

(9 citation statements)

References 7 publications

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“…Downlink and uplink throughputs are parameters used to determine the level of data speed transmitted by the base station [42]. Telco X's 4G network throughput indicator and range are adopted and adapted for 5G network as tabulated in Table 5.…”

Section: Throughputmentioning

confidence: 99%

“…A comparison of research on 5G networks, coverage and throughput performance is summarized in Table 14. Of the twelve publications on 5G network coverage and/or throughput analyses, simulation software employed includes Atoll [31], [44], [45], Mentum Planet [30], [35], [39], [42], [43], Matlab [32], [41], and Omnet++ [46]. In addition to simulation, two papers [31], [45] also conducted direct field measurements (drive test method) to verify the simulations.…”

Section: Comparison With Previous Workmentioning

confidence: 99%

“…The analysis and design of 5G networks for urban areas (industrial area) commonly use UMa and UMi propagation models [30], [35], [39], [42], [43], [44], [47]. Both propagation models are utilized to analyzed 5G network performance in an area to evaluate which model is more representative for that area's characteristics [39,44].…”

Section: Comparison With Previous Workmentioning

confidence: 99%

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Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City

Affandi,

Riyadi,

Prakoso

2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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Currently, telecommunication operators must deploy 5G networks to cope with the exponential growth in internet-access demand. To minimize capital expenditure, existing 4G cell towers are being used to install new 5G base stations (gNodeB). However, 5G has different key performance indicators (KPI), frequency and bandwidth values, and propagation models compared to 4G hence an evaluation of this approach's effectiveness is needed. This paper analyzes 5G network performance with frequency of 3.5 GHz, bandwidth of 100 MHz, and using existing cellular towers in Surakarta City. The city has a total area of 46.8 km 2 , mostly flat topography and not many tall buildings therefore propagation models with line-of-sight urban macro (UMa) and urban micro (UMi) are representative. KPI parameters for throughput include 75% of the area served with at least 100 Mbps for downlink and at least 50 Mbps for uplink. KPI parameter for signal strength targets at least 90% of the area covered with -100 dBm or higher. Our Atoll simulations show that the optimistic scenario (UMa) produces average throughput of 153.59 Mbps (downlink) and 117.88 Mbps (uplink), 89.43% served with at least 100 Mbps (downlink) and 100% experience at least 50 Mbps (uplink), average signal strength is -83.99 dBm and 79.71% area covered with at least -100 dBm. The pessimistic scenario (UMi) predicts throughput of 141.32 Mbps (downlink) and 117.88 Mbps (uplink), 86.52% provided with at 100 Mbps (downlink) and 100% served with 50 Mbps (uplink), average signal strength of -90.73 dBm and 75.13% area covered with at least -100 dBm. It can be concluded that the 5G network installed at existing 4G towers can conform to KPI parameters on throughput but still experience drawbacks in signal coverage. A non-Standalone 5G network is suitable for early deployment, but gNodeB installation at new locations is needed in the following years.

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Section: Throughputmentioning

confidence: 99%

Section: Comparison With Previous Workmentioning

confidence: 99%

Section: Comparison With Previous Workmentioning

confidence: 99%

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Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City

Affandi,

Riyadi,

Prakoso

2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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“…From the resulting Site Coverage Area value, the number of sites in the planned area can be calculated by: >5? @0; 9# +4706 = ABCDE FDGHI BJ KGID LMNI OBPIGDHI KGID (7) The Data Rate is the next parameter to examine in this research. The data rate is a metric to measure the speed and extent of sending data through a network.…”

Section: F Propagation Modelsmentioning

confidence: 99%

“…It used carrier aggregation methods based on coverage planning and offered a greater data rate [5]. This research contributed to the use of real traffic based on Twitter users to optimize the number of gNodeB needed in this field adjusted to the number of user densities in a specific area [6], [7], [8]. With increasingly rapid demand for network traffic, 5G networks deploy more densely packed BTS.…”

Section: Introductionmentioning

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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