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Model Kanal 5G Frekuensi 28 GHz dengan Pengaruh Suhu di Kota Yogyakarta KHOIRUN NI’AMAH,; SHELLY NURJANAH; ACHMAD RIZAL DANISYA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 2 (2020): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektro
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i2.276

Abstract

ABSTRAKPenelitian ini melakukan pengujian pada model kanal 5G di jaringan masa depan. Karakteristik model kanal sangat mempengaruhi performansi jaringan pada penggunakan frekuensi mmWave di atas 6 GHz yang sensitif terhadap pengaruh alam. Oleh karena itu perlu untuk mengetahui karakteristik kanal agar menghasilkan performansi yang optimal. Evaluasi kerja pada penelitian ini menggunakan frekuensi 28 GHz, modulasi 16-QAM, bandwidth 50 MHz dan CPOFDM. Hasil penelitian menunjukkan perbandingan model kanal 5G untuk mendapatkan outage probability sebesar 10^-4 pada suhu maksimum dan minimum sehingga didapatkan Eb/No yang dibutuhkan untuk coding rate 1:2 adalah 17,26 dB dan 15,25 dB, coding rate 3:4 adalah 19,53 dB dan 17,45 dB dan coding rate 1 adalah 22,11 dB dan 19,82 dB. Hal ini menunjukkan bahwa suhu mempengaruhi performansi sistem komunikasi pada 5G dan menunjukkan bahwa dengan coding rate setengah lebih efisien dalam kualitas dan kapasitas kanal.Kata kunci: 5G, Model Kanal, Suhu, 28 MHz, CP-OFDM ABSTRACTThis research is testing the 5G channel model in the future network. The characteristics of the channel model greatly affect network performance in the use of mmWave frequencies above 6 GHz which are sensitive to natural influences. Therefore it is necessary to know the characteristics of the channel in order to produce optimal performance. The work evaluation in this study uses 28 GHz frequency, 16-QAM modulation, 50 MHz bandwidth and CP-OFDM. The results showed a comparison of the 5G channel model to get an outage probability of 10^-4 at maximum and minimum temperatures so that the Eb / No needed for coding rate 1:2 was 17.26 dB and 15.25 dB, coding rate 3:4 was 19.53 dB and 17.45 dB and coding rate 1 are 22.11 dB and 19.82 dB. This shows that the temperature affects the communication system performance at 5G and shows that with coding rate ½ and the minimum temperature is more efficient in the quality and capacity of the channel.Keywords: 5G, Channel Model, Temperature, 28 MHz, CP-OFDM
Coded Random Access Technique Based on Repetition Codes for Prioritizing Emergency Communication Khoirun Ni'amah; Solichah Larasati; Alfin Hikmaturokhman; Muntaqo Alfin Amanaf; Achmad Rizal Danisya
Buletin Pos dan Telekomunikasi Vol 18, No 2 (2020): December 2020
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.2020.180205

Abstract

This research uses repetition codes based on Coded Random Access (CRA) to support Internet of Things (IoT) to give priority to emergency commutations in super-dense networks. Degree distribution for emergency group and general group are obtained with extrinsic information transfer (EXIT) analysis to achieve small error performance shown by the very small gap between emergency group curve and general group curve. This research also evaluates performance by observing throughput and packet-loss rate (PLR) parameters from every groups. Offered traffic in PLR  for emergency group user is G= 0,7 packet/slot without fading and G= 0,65 packet/slot with fading, while for public group is G=0,699 packet/slot without fading and G=0,42 packet/slot with fading. Peak throughput for emergency group is G= 0,737 packet/slot without fading and G= 0,729 packet/slot with fading. Peak Throughput for public group is G= 0,699 packet/slot without fading and G=0,685 packet/slot with fading. Throughput values of emergency group are higher than those of the general group, indicating successful process of giving priority for emergency group.
Analisis Perbandingan Lte-Advanced Carrier Aggregation Deployment Scenario 2 Dan 5 Di Semarang Tengah Evan Sigit Kurniawan; Ade Wahyudin; Achmad Rizal Danisya
Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Vol 20, No 2 (2019): Techno Volume 20 No.2 Oktober 2019
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/techno.v20i2.3960

Abstract

Pada tahun 2010 3GPP mengenalkan teknologi LTE-Advanced, teknologi yang mampu memberikan kecepatan datarates hingga 3 Gbps pada sisi downlink dan 1,5 Gbps pada sisi uplink. Salah satu fitur yang menjadi faktor bertambahnya datarates tersebut adalah dengan teknik carrier aggregation. Dalam penelitian ini diimplementasikan 2 skenario yaitu Carrier Aggregation Deployment Scenario (CADS) 2 dan 5 dengan simulasi menggunakan software Atoll 3.3.0. Perancangan dilakukan pada frekuensi 1800 MHz dengan bandwidth 15 MHz dan frekuensi 2300 MHz dengan bandwidth 15 MHz di Semarang Tengah. Untuk perancangan dilakukan perancangan jaringan baru berdasarkan acuan site eksisting LTE 1800 MHz di Semarang Tengah yang diperoleh dari salah satu subkontraktor telekomunikasi di Indonesia.Parameter yang dianalisis pada penelitian ini antara lain : RSRP, CINR, user connected dan throughput berdasarkan simulasi menggunakan software Atoll 3.3.0. Untuk perancangan dengan skenario tanpa CA diperoleh mean RSRP sebesar -84,88 dBm, mean CINR sebesar 7,64 dB, rata-rata presentase user connected 99,9 % dan mean throughput sebesar 833,19 Mbps. Kemudian pada perancangan dengan skenario CADS 2 diperoleh mean RSRP sebesar -75 dBm, mean CINR sebesar 19,97 dB, rata-rata presentase user connected 100 % dan mean throughput sebesar 1.152,2 Mbps. Dan pada perancangan dengan skenario CADS 5 diperoleh mean RSRP sebesar -71,5 dBm, mean CINR sebesar 21,89  dB, rata-rata presentase user connected 100 % dan mean throughput sebesar 1.147,3 Mbps. Berdasarkan hasil analisis pada penelitian ini didapatkan hasil perancangan jaringan terbaik yaitu menggunakan skenario CADS 5. Sehingga peracangan jaringan yang paling layak  untuk diterapkan di Semarang Tengah yaitu dengan menggunakan perancangan jaringan LTE-Advanced dengan CADS 5.
Analisis Perbandingan Pemodelan Pathloss COST-231 Hata dan Walfisch Ikegami Terhadap Pathloss Pengukuran dengan Metode Drive test di Wilayah Banyumas Muntaqo Alfin Amanaf; Achmad Rizal Danisya; Robi Rodian
JURNAL INFOTEL Vol 9 No 4 (2017): November 2017
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v9i4.294

Abstract

Pemodelan Pathloss adalah komponen penting dalam perancangan jaringan komunikasi wireless. Pemodelan Pathloss ini membantu memprediksi seberapa buruk Pathloss atau redaman yang terjadi pada area perencanaan jaringan komunikasi wireless, Tetapi dalam memprediksi Pathloss diperlukan pemilihan beberapa pemodelan Pathloss yang sesuai dengan karakterisik wilayah tertentu agar pada saat implementasi jaringan wireless, jaringan tersebut dapat memberikan layanan komunikasi wireless yang optimal sesuai dengan hasil perancangan. Pada penelitian ini membandingkan  pemodelan Pathloss COST-231 Hata dan Pathloss Walfisch Ikegami terhadap Pasthloss Pengukuran di Wilayah banyumas untuk memilih pemodelan Pathloss yang sesuai dengan karakteristik wilayah banyumas di tiap Cluster Urban, Suburban dan Rural. Pathloss Pengukuran diperoleh melalui mengukur daya terima handphone dengan metode drivetest pada frekuensi 1800 Hz. Pada penelitian ini, penulis menganalisis grafik pathloss dan nilai MSE (Mean Square Error) dari Pathloss Pengukuran terhadap masing-masing pemodelan Pathloss di tiap Cluster. Hasil pada penelitian ini, Pemodelan Pathloss COST-231 Cluster Urban dan Rural mempunyai kesesuaian dengan Pathloss pengukuran dengan nilai MSE adalah 18,16 dB dan 10,33 dB, Sedangkan pada Cluster Suburban mempunyai kesesuaian dengan Pathloss Walfisch Ikegami dengan nilai MSE 5,58 dB.
Analisis User Throughput Based Mobility Load Balancing Menggunakan Prediksi Regresi Logaritmik Reference Signal Received Quality Di Jaringan Akses Radio Long Term Evolution Achmad Rizal Danisya; Rendy Munadi; Sofia Naning Hertiana
JURNAL INFOTEL Vol 10 No 1 (2018): February 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i1.350

Abstract

The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.
Analysis And Performance Comparison of Microwave And WiFi 802.11ac Based Backhaul For Long Term Evolution Network In Urban Area Nida Nurvira; Anggun Fitrian Isnawati; Achmad Rizal Danisya
JURNAL INFOTEL Vol 12 No 1 (2020): February 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i1.454

Abstract

Increasing user requirements for LTE networks, data traffic from eNodeB to core network is also increases, therefore, the recommended solution for meeting this high data traffic is to use a backhaul network design. Backhaul is the path or network used to connect eNodeB with the core network. In this research, backhaul technology used is wi-fi 802.11ac backhaul and microwave backhaul. In this study begins by collecting existing data, then perform capacity calculations to find out the number of eNodeB needed and to find out the capacity of the backhaul links to be designed, then determine the antenna height to achieve LOS conditions, then calculate the desired performance standards and calculate the backhaul network link budget on microwave and wi-fi technologies. Based on the calculation results in terms of capacity, the total user target is 90,167 users and has a throughput capacity per eNodeB of 61 Mbps. In the link-capacity calculation, the total link capacity is 427 Mbps. From the simulation results that using microwave technology, the average RSL value is -30.90 dBm, the value meets the -57 dBm threshold standard and the value of availability does not meet the standard of 99.999% because the average value obtained is 99.998095%. Whereas for wi-fi technology, the average RSL value is -39.24 dBm and meet the -72 dBm threshold standard, for the average availability value meets 99.999% standard, with a value of 100%. From the results of the two technologies, can be conclude that the wi-fi technology is more suitable for the use of backhaul network design in Ciputat Sub-district.
Outage Performances of 5G Channel Model Influenced by Barometric Pressure Effects in Yogyakarta Solichah Larasati; Serli Ridho Yuliani; Achmad Rizal Danisya
JURNAL INFOTEL Vol 12 No 1 (2020): February 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i1.463

Abstract

Abstract — The fifth-generation cellular technology (5G) is predicted to adopt a high-frequency channel, which could lead to a new challenge, namely, wave propagation attenuation. This attenuation is affected by natural conditions, such as barometric pressure, rain rate, humidity, and vegetation density. This paper proposes a 5G channel model under the barometric pressure effect to address the issue. The channel model is obtained from series computer simulations by operating frequency of 28 GHz and real-field parameters of Yogyakarta environments. The 5G channel model frameworks consist of two steps. First, generate the instantaneous Power Delay Profile (PDP) using NYU Wireless Simulator with real-field parameters of the environment. Second, the instantaneous PDP is then used to calculate the representative PDP. PDP differs from one country to another, especially on 5G technology, because of the high-frequency band, which is sensitive to nature. To observe the barometric pressure effect, we need to generate the instantaneous PDP with minimum and maximum barometric effects. PDP value used to calculate the outage probability of channel capacity (C) is smaller than the coding rate (R), indicating a failure of detection at the receiver based on the Shannon theory. Outage probability is obtained by the cumulative distribution function of the capacity evaluated against the coding rate. Outage probability results in both scenarios can reach a point of 10-4, for coding rate ½ needs 17.649883 dB, coding rate ¾ needs 20.020953 dB, and coding rate 1 needs 22 dB. This shows that barometric does not significantly influence the performance of the 5G communication system.