scholarly journals Perencanaan LTE-A untuk Heterogeneous Network dengan Metode CADS4 di Grand Asia Afrika

2021 ◽  
Vol 9 (3) ◽  
pp. 663
Author(s):  
YOGI ARIYANTO ◽  
HASANAH PUTRI ◽  
ATIK NOVIANTI
Keyword(s):  
Band 3 ◽  
Primary Cell ◽  
Small Cells ◽  
Carrier Aggregation ◽  
Macro Cell ◽  
Traffic Loads ◽  
Combat Unit ◽  
Network Quality ◽  
Area Planning

ABSTRAKBerdasarkan hasil pengukuran di Grand Asia Afrika (GAA) diketahui terdapat peningkatan kualitas jaringan setelah pemasangan unit COMBAT selama 7 hari. RSRP ≥ -95 dBm sebelumnya sebesar 75,70% menjadi 100%, SINR ≥ 0 dB dari 53,58% menjadi 97,54%, dan throughput ≥ 8 Mbps sebelumnya sebesar 48,12% menjadi 89,55%. Untuk mempertahankan kualitas tersebut maka dibangunlah small cell. Perencanaan menerapkan metode inter-band carrier aggregation pada heterogen network LTE dengan skema CADS4 sebagai pengganti unit COMBAT. Tujuan perencanaan ini adalah extended throughput dan agar kualitas layanan pada beban trafik tinggi tetap baik. Macro cell sebagai Primary Cell (PCell) pada band-1 2100 MHz dan micro cell sebagai Secondary Cell (SCell) pada band-3 1800 MHz. Hasil perencanaan menunjukkan telah memenuhi standar RF Parameter LTE yaitu RSRP sebesar -92,65 dBm, SINR sebesar 16,55 dB, throughput sebesar 1,062 Mbps, dan user connected 97%.Kata kunci: LTE-A, heterogen network, CADS4, Great Asia Afrika Bandung ABSTRACTBased on the report on the development of temporary sites in the tourist area of Great Asia Africa (GAA), it shows that the DRR rate is> 90% in the sectors leading to GAA. From the measurement, it is known that there is an increase in network quality after installing the COMBAT unit for 7 days. For RSRP ≥ -95 dBm, the previous amount was 75.70% to 100.00%, for SINR ≥ 0 dB previously it was 53.58% to 97.54%, and for throughput ≥ 8 Mbps the previous was 48.12% to 89,55%. To maintain the quality of the network, small cells were built to cover the GAA area. Planning to apply the inter-band carrier aggregation method to the heterogeneous LTE network with the CADS4 scheme to replace the COMBAT unit. The purpose of planning is to provide extended throughput and so that the service quality at high traffic loads remains good. The configuration used is a macro cell as a Primary Cell (PCell) in the band-1 2100 MHz and a micro cell as a Secondry Cell (SCell) in the 1800 MHz band-3. The results of the planning meet the LTE parameter RF standards, RSRP of -92.65 dBm, SINR of 16.55 dB, throughput of 1.062 Mbps, and users connected to 97%.Keywords: LTE-A, heterogen network, CADS4, Great Asia Afrika Bandung

scholarly journals Optimalisasi Penggunaan Frekuensi dan Peningkatan Throughput pada Jaringan LTE-A menggunakan Metode CADS2

2021 ◽  
Vol 9 (1) ◽  
pp. 125
Author(s):  
HASANAH PUTRI ◽  
MINAL ABI PUTRA
Keyword(s):  
Support System ◽  
Band 3 ◽  
Network Throughput ◽  
Primary Cell ◽  
Carrier Aggregation ◽  
Average Throughput ◽  
Component Carrier

ABSTRAKPenelitian kali ini mengamati data Operating Support System (OSS) operator untuk wilayah Ciparay Bandung. Berdasarkan data OSS, Ciparay memiliki penetrasi jaringan LTE-A sebesar 90%, hal ini menunjukkan bahwa trafik di area tersebut sangat padat. Selain itu, nilai throughput jaringan LTE-A di area ini hanya sebesar 6.8 Mbps. Hal ini masih belum memenuhi standar operator dimana throughput > 16 Mbps. Untuk mengatasi hal ini, dilakukan optimalisasi penggunaan frekuensi dan peningkatan throughput menggunakan metode Carrier Aggregation Deployment Scenario 2 (CADS2) dimana dilakukan penggabungan dua buah component carrier pada bandwidth 15 MHz di band 3 (1800 MHz) dan bandwidth 20 di band 40 (2300 MHz). Dimana pada skenario I, band 3 dijadikan primary cell dan band 40 dijadikan secondary cell. Sedangkan pada skenario II, band 40 dijadikan primay cell dan band 3 dijadikan secondary cell. Hasil yang diperoleh yaitu terjadi peningkatan rata-rata throughput sebesar 94,87 %.Kata kunci: LTE-A, OSS operator, CADS2, throughput, Ciparay Bandung ABSTRACTThis research examines operator Operating Support System (OSS) data for the Ciparay area of Bandung. Based on OSS data, Ciparay has an LTE-A network penetration of 90%, this shows that the traffic in the area is very dense. In addition, the value of LTE-A network throughput in this area is only 6.8 Mbps. This still does not meet operator standards where throughput is> 16 Mbps. To overcome this, optimization of frequency usage and increase in throughput are carried out using the Carrier Aggregation Deployment Scenario 2 (CADS2) method by combining two carrier components on a 15 MHz bandwidth in band 3 (1800 MHz) and bandwidth 20 in band 40 (2300 MHz) . In scenario I, band 3 is set as a primary cell and band 40 is set as a secondary cell, whereas in scenario II, band 40 is set as a primay cell and band 3 is set as a secondary cell. The results obtained are an increase in average throughput of 94,87 %.Keywords: LTE-A, OSS operator, CADS2, throughput, Ciparay Bandung

Performance Evaluation of LTE-Advanced Heterogeneous Network Deployment Using Carrier Aggregation between Macro and Small Cells

2013 ◽  
Vol E96.B (6) ◽  
pp. 1297-1305
Author(s):  
Takahiro TAKIGUCHI ◽  
Kohei KIYOSHIMA ◽  
Yuta SAGAE ◽  
Kengo YAGYU ◽  
Hiroyuki ATARASHI ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Heterogeneous Network ◽  
Small Cells ◽  
Carrier Aggregation ◽  
Lte Advanced

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

Open network quality of service and bandwidth control: Use cases, technical architecture, and business models

2011 ◽  
Vol 16 (2) ◽  
pp. 133-152 ◽  
Author(s):  
James A. Brunetti ◽  
Kanti Chakrabarti ◽  
Alina M. Ionescu-Graff ◽  
Ramesh Nagarajan ◽  
Dong Sun
Keyword(s):  
Quality Of Service ◽  
Business Models ◽  
Use Cases ◽  
Open Network ◽  
Technical Architecture ◽  
Bandwidth Control ◽  
Network Quality

scholarly journals BAHAN TAMBAH SERAT ECENG GONDOK PADA LASTON TIPE XI TERHADAP INDEKS MARSHALL TEST MENGGUNAKAN KERIKIL MANTUP

UKaRsT ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 8
Author(s):  
Sugeng Dwi Hartantyo ◽  
Rasiyo Hepiyanto
Keyword(s):  
Asphalt Concrete ◽  
Water Hyacinth ◽  
Heavy Traffic ◽  
Asphalt Mixture ◽  
Cellulose Fiber ◽  
Fine Aggregate ◽  
Traffic Loads ◽  
Marshall Test ◽  
Technical Specifications

Laston is a mixture of coarse aggregate, fine aggregate, and filler with a binder under the temperature of 145-155oC with the composition being studied and regulated by technical specifications. Laston is also known as AC (Asphalt Concrete).Laston itself is commonly used in Indonesia with continuous gradations used for heavy traffic loads. To get the addictive material is not easy and the material is expensive. Therefore, it is necessary to find alternatives to the cellulose fiber. Water hyacinth is a water weed that once grow and develop, it has high cellulose fiber content, which is about 60%.For that, done a research to add a hot asphalt mixture material that aims to improve the quality of mixed result. The selected material is natural water hyacinth. The method used is trial and error with reference of SNI 03-1737-1989. Variations used are 3%, 5%, and 7% of the asphalt weight, asphalt level used Is 5.61%.The result of this study is Marshall evaluation where the greatest score obtained for stability is 1325 kg,  Flow is 3.73 mm, Quotient Marshall is 401.02 kg/mm, VMA is 66.30%, VFWA is 19.25%, and VIM score is 54.35 %. With this result, the asphalt mixture can not be used because the results of VMA, VFWA, and VIM have not been suitable on specification of SNI 03-1737-1989.  Keywords: Laston, Asphalt Concrete, Water Hyacinth, SNI 03-1737-1989.

scholarly journals Software Defined Networks: a Comparative Study and Quality of Services Evaluation

2019 ◽  
Vol 6 (2) ◽  
pp. 181-192
Author(s):  
Herry Prasetyo Nugroho ◽  
Muhammad Irfan ◽  
Amrul Faruq
Keyword(s):  
Network Architecture ◽  
Quality Of Services ◽  
Network Architectures ◽  
Software Defined Network ◽  
Network Testing ◽  
Traffic Loads ◽  
Services Evaluation ◽  
Software Define Network ◽  
Software Emulator

Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.

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