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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of Electrical Engineering and Computer Science eProceedings of Engineering Jurnal INFOTEL Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika
Vinsensius Sigit Widhi Prabowo
Universitas Telkom
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Analisis Performansi Algoritma Qos Aware Resource Allocation Untuk Sistem Komunikasi Device To Device Sarah Dhia Amani; Nachwan Mufti Adiriansyah; Vinsensius Sigit Widhi Prabowo
eProceedings of Engineering Vol 7, No 1 (2020): April 2020
Publisher : eProceedings of Engineering

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Abstract

Abstrak Perkembangan teknologi Information and Communication Technology (ICT) yang semakin cepat membuat komunikasi kini bisa semakin lebih mudah, cepat, dan efektif diiringi dengan peningkatan jumlah pengguna seluler yang menyebabkan kepadatan trafik komunikasi dalam jaringan seluler juga semakin meningkat. Untuk mengatasi kepadatan trafik komunikasi dalam jaringan seluler tersebut penelitian ini mengusulkan penggunaan komunikasi Device-to Device (D2D). Komunikasi D2D ialah salah satu fitur dalam teknologi 5G yang membuat komunikasi dapat dilakukan langsung antara dua pengguna ponsel tanpa melalui evolved Node B (eNB) sehingga bisa menurunkan kepadatan trafik komunikasi, meningkatkan efisiensi energi, dan meningkatkan efisiensi spektral. Penelitian ini melakukan pemodelan dan analisis menggunakan algoritma heuristik QoS-Aware Resource Allocation (QARA) untuk mengalokasi kanal dan pemilihan mode komunikasi agar dapat meningkatkan throughput untuk pengguna komunikasi D2D, dan menjamin QoS dari pengguna komunikasi selular dan komunikasi D2D. Dari data dan hasil yang didapatkan bisa disimpulkan bahwa Algoritma QARA untuk komunikasi D2D memiliki hasil lebih baik dari Algoritma Greedy dan Algoritma Random. Hal ini ditandai dengan hasil analisis yang menghasilkan parameter performansi yang lebih baik pada hal sum rate, spectral efficiency, throughput,dan energy efficiency. Kata Kunci : Device-to-Device (D2D), QoS-Aware Resource Allocation (QARA) algorithm, Signal to Interference plus Noise Ratio (SINR), Throughput. Abstract The development of Information and Communication Technology is fast or making communication can now be easier, faster and more effective and is accompanied by the increase in the number of cellular users which causes the increase in communication traffic at cellular networks. To overcome the increase in communication traffic at cellular networks this research proposes the uses of the Device-to-Device (D2D) communication system. D2D communication is one of the features in 5G technology, where communication is directly between two mobile users instead of going through the evolved Node B (eNB) such that it can reduce communication traffic densit, improve energy efficiency, improve spectral efficiency. This research models and evaluates the QoS-Aware Resource Allocation (QARA) heuristic algorithm for channel allocation and communication mode selection to increases throughput for users of D2D communication, and ensures QoS for cellular communication users and D2D communications. From the data and results obtained, it can be concluded that the QARA algorithm for D2D communication has better results than the Greedy algorithm and the Random Algorithm. This is indicated by the results of the analysis which produce better performance parameters such as sum rate, spectral efficiency, throughput, and energy efficiency. Keywords: Device-to-Device (D2D), a QoS-Aware Resource Allocation (QARA) algorithm, Signal to Interference plus Noise Ratio (SINR), Throughput.
Analisis Kinerja Algoritma Hypergraph Coloring Untuk Alokasi Sumber Daya Pada Sistem Komuniasi D2D Muhammad Fawwaz Nesta Radha; Nachwan Mufti Adriansyah; Vinsensius Sigit Widhi Prabowo
eProceedings of Engineering Vol 9, No 6 (2022): Desember 2022
Publisher : eProceedings of Engineering

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Maraknya aktivitas masyarakat harus terhubung dengan internet, membuat pekerjaan lebih mudah. Banyaknya penggunaan internet memiliki dampak pada komunikasi seluler. Dengan kata lain dapat menyebabkan jumlah pengguna seluler bertambah. Seiring dengan meningkatnya pengguna seluler dapat menyebabkan peningkatan beban trafik jaringan data yang pesat. Dalam meningkatnya pengguna seluler, diberikan solusi yaitu komunikasi Device-To-Device (D2D). Namun, komunikasi D2D memiliki permasalahan dasar yaitu interferensi antar seluler saat tidak dialokasikan dengan benar. Jika interferensi antar seluler tidak diatasi dengan baik, maka komunikasi D2D dapat merusak kualitas komunikasi pengguna lainnya. Oleh karena itu diusulkan penelitian ini untuk mengatasi masalah tersebut dengan sistem komunikasi D2D underlay. Pada penelitian ini menggunakan dua algoritma sebagai pengalokasian resources yaitu algoritma graph coloring dan algoritma greedy. Berdasarkan hasil simulasi yang telah dilakukan diperoleh hasil terbaik yaitu pada sumrate sebesar 90.0248 Mbps, dan fairness total 0.8395. Kata Kunci — device-to-device, radius cell, greedy, graph coloring
Simulasi Pengalokasian Sumber Daya Pada Komunikasi Menggunakan Algoritma Heuristik Pada Skema Underlay D2D Communication Claudia Sofiana Tamba; Arfianto Fahmi; Vinsensius Sigit Widhi Prabowo
eProceedings of Engineering Vol 7, No 2 (2020): Agustus 2020
Publisher : eProceedings of Engineering

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Peningkatan jumlah pengguna seluler secara signifikan menimbulkan peningkatan kepadatan trafik komunikasi dalam jaringan seluler, sehingga diperlukan adanya penambahan kapasitas jaringan. Komunikasi D2D merupakan fitur yang mampu melayani komunikasi peer to peer sehingga pasangan D2D dapat berkomunikasi secara langsung tanpa harus melewati Base Transceiver Station (BTS) dengan cara menggunakan kembali sumber daya dari celuller user. Komunikasi D2D menyebabkan interferensi penerapan komunikasi D2D dapat menimbulkan interferensi terhadap komunikasi telepon seluler konvensional. Sehingga untuk mengurangi interferensi yang terjadi saat pengalokasian sumber daya diperlukan resource allocation secara tepat. Pada Tugas Akhir ini akan dilakukan simulasi alokasi sumber daya menggunakan algoritma heuristic dan algoritma greedy, algoritma minimum interference dengan algoritma random allocation sebagai pembandingnya. Algoritma diujikan pada dua skenario yaitu variasi jumlah pasangan D2D dan variasi jarak radius sel. Kemudian nilai sumrate, efisiensi spektral, efisiensi energi dan fairness yang didapat dari hasil simulasi dibandingkan untuk menentukan algoritma yang paling optimal. Algoritma greedy memiliki nilai sumrate, efisiensi spektral, efisiensi energi yang lebih unggul dan performansi algoritma heuristic tidak jauh berbeda dengan algoritma greedy Sementara Algoritma heuristic memberikan solusi untuk membagi resource secara adil kepada pasangan D2D dibuktikan dengan nilai fairness yang lebih baik daripada algoritma yang lainnya dan lebih cocok digunakan ketika terjadi tingkat complexity tinggi.Kata Kunci : resource allocation, device to device, heuristic, greedy, minimum interference, random allocation
Analisis Penggunaan Algoritma Alokasi Sumber Daya Berbasis Bipartite Matching Untuk Sistem Komunikasi Device-to-device Rifqi Naufal Julian; Nachwan Mufti Adiriansyah; Vinsensius Sigit Widhi Prabowo
eProceedings of Engineering Vol 7, No 1 (2020): April 2020
Publisher : eProceedings of Engineering

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Abstrak Dewasa ini, teknologi semakin berkembang khususnya pada dunia telekomunikasi. Perkembangan telekomunikasi ini ditandai dengan meningkatnya kebutuhan berkomunikasi menggunakan smartphone. Meningkatnya kebutuhan berkomunikasi, maka trafik data akan semakin tinggi yang menyebabkan permasalahan laju data dan efisiensi daya. Pada Celular User (CU) saat berkomunikasi perangkat harus mengirimkan sinyal melalui Base Station(BS) atau evolved Node B (eNB). Device to device (D2D) merupakan teknologi komunikasi yang menghubungkan langsung antar perangkat tanpa harus mengirimkan sinyal ke eNB. Dalam menyikapi permasalahan interferensi, perlu dilakukan resource allocation agar sumber daya dapat dipakai secara bersamaan dengan mempertahankan Quality of Service (QoS) pada komunikasi D2D. Pengalokasian sumber daya dilakukan pada jaringan komunikasi underlaying. Sistem pengalokasian sumber daya hanya diperhitunghkan pada arah downlink. Algoritma yang diajukan pada tugas akhir ini adalah Bipartite Matching, bertujuan untuk melakukan perbandingan pengukuran performansi sum rate, data rate rata-rata, fairness, efisiensi energi dan efisiensi spektral kemudian dibandingkan dengan algoritma Greedy dan Random Allocation pada satu sel dengan menambahkan sebanyak-banyaknya pasangan D2D. Tugas akhir ini membuktikan melalui hasil simulasi bahwa algoritma Bipartite Matching dengan metode maksimisasi Hungarian memperoleh system sum rate yang lebih unggul dibandingkan kedua algoritma pembandingnya. Pada hasil simulasi yang dilakukan pada tugas akhir ini, algoritma yang diajukan merupakan solusi pada keadaan tingkat kepadatan user yang tinggi dalam suatu sistem komunikasi. Kata kunci : Device-to-device, Underlaying, Downlink, Resource Allocation Bipartite Matching, Greedy, Random Allocation Abstract Nowadays, technology is growing especially in telecommunication. This telecommunications development is marked by the increasing use of smartphones to communicate. The more increasing need to communicate, then the data traffic will be higher which causes data rates and power efficiency problems. While communicating with Celular Users (CU), the devices have to send signals through Base Stations (BSs) or evolved Node B (eNB) on Long Term Evolution (LTE) communications that requires a lot of power. Device to device (D2D) is a communications technology which connects each device directly without sending the signal to eNB. {To overcoming the interference problem, resource allocation needs to be done, so that resources can be used simultaneously while maintaining Quality of Service (QoS) D2D communication is carried out. Resource allocation is carried out on an underlaying communication network. Resource allocation system to downlink direction. The algorithm proposed in this final project is Bipartite Matching, where the algorithm aims to make comparison of performace measurement sum-rate (amount of data rate), average of data rate, fairness, energy efficiency and spectral efficiency then compared with Greedy and Random Allocation algorithm in one cell by adding as many D2D pairs as possible. This final project has given prove with the simulation results that the Bipartite Matching algorithm with Hungarian maximization method gets a system sum-rate that is more superior than two comparison algorithms. In the results of simulations performed in this final project, the proposed algorithm is a solution in a state of high user density in a communication system. Keywords : Device-to-device, Underlaying, Downlink, Resource Allocation Bipartite Matching, Greedy, Random Allocation
Energy Efficient D2D Communication Under Downlink Heterogeneous Network Martinus Erico Noktafianus Hindarto; Nur Izza Rahma; Vinsensius Sigit Widhi Prabowo; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5713

Abstract

The increase in cellular users (CU) caused data traffic congestion on the Base Station (BS). Device to Device (D2D) communication can be used to reduce the traffic on BS. D2D communication is direct communication between devices without using a central BS to reduce traffic congestion. CU and D2D users will share the same Resource Block (RB), but there is a drawback that causes interference. This study employs a downlink direction Heterogeneous Network (HetNet) system model to mitigate interference issues. Resource allocation is performed using a greedy algorithm, and to enhance its performance, two small cell base stations (SB) were incorporated, denoted as SB1 (1st SB) and SB2 (2nd SB), thereby transforming the algorithm into a greedy algorithm with SB1SB2. A comparative analysis was conducted between the greedy algorithm with SB1SB2 and the conventional greedy algorithm (without the addition of SB1 and SB2). Furthermore, the authors manipulated the radius of the macro cell base station (MB) in this study to examine its impact on system performance. The results obtained from the simulation are greedy with the SB1SB2 algorithm getting a lower value on the sum data rate with a value of 1.62 × 108 bps, spectral efficiency with a value of 9.02 bps/Hz, total fairness (CU and D2D) with a value of 0.4095. Meanwhile, in terms of power efficiency, the greedy algorithm with SB1SB2 has a higher value of 10.40%. However, resource allocation in both algorithms is not the best solution. So that the resulting performance parameters are less than optimal.
RADIO RESOURCE ALLOCATION USING GRAPH THEOREM FOR DEVICE-TO-DEVICE COMMUNICATION SYSTEM Akbar Rozak; Bayu Ardiansyah Rahmadhani; Vinsensius Sigit Widhi Prabowo; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 2 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i2.5719

Abstract

The increasing demand for higher data rates for local area services caused traffic congestion at the base station (BS). One way to overcome this is a Device to Device (D2D) communication system. Device to Device allows nearby User Equipment (UE) to communicate using a direct link with each other without going through the BS. However, D2D communication caused interference to the traditional celullar user, because usually they use same frequency spectrum. A good radio resources allocation algorithm is a must to overcome this problem. This research proposes graph based allocation algorithm, to allocates the resources for D2D user and Cellular user. Graph algorithm is an algorithm which allocated the resource depending on the edge level of each user. The simulation parameters that being used to analyze the graph algorithm’s performance are sumrate, efficiency spectral, power efficiency and fairness, and graph algorithm is compared with a traditional greedy algorithm. Based on the result, graph algorithmm can inprove the fairness among the user in the system by 3.7%. Meanwhile, the sumrate, spectral efficiency, and power efficiency of the system is decreased by 4.24%, 4.52%, and 4.57% respectively compared with traditional greedy algorithm.
Performance Analysis of Radio Resource Allocation to Maximize Power Efficiency in Device-To-Device Communication Shilvy Fatma Fitria Rachmawati; Vinsensius Sigit Widhi Prabowo; Lista Anggayani; Nachwan Mufti Adriansyah
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5812

Abstract

Technological developments in the field of telecommunications have progressed. However, the more cellular network users, the more traffic on the Base Station (BS) will be. One way to overcome this is to implement a Device-To-device (D2D) communication system. However, when D2D User Equipment (DUE) reuses Cellular User channel resources Equipment (CUE), then interference will occur. This research is conducted to address interference problems and maximize energy efficiency for CUEs and DUEs by implementing the Greedy algorithm with additional power control. The aim is to block unnecessary resources and optimize resource allocation. The Optimal Power Control (OPC) scheme will utilize the transmit power threshold. The simulation scheme for the D2D communication system used is the uplink and underlay mode single-cell system model. Where the DUE pair will use the same resources as the CUE that has been given by the BS. Resources in CUE can only be reused by one pair of DUEs, and vice versa. The greedy algorithm using power control gets superior performance at a sum rate of 1.79 × 107 bps with an increase of 36.03%. Spectral efficiency of 2.49 bps/Hz with an increase of 36.03%. The power efficiency of 2.08 × 103 bps/mw with an increase of 118.47%. Based on the result the greedy algorithm without power control gets superior performance at CU Fairness of 1 with an increase of 50.14%.
Power control scheme using particle swarm optimization method in resource allocation process on D2D underlaying communication Vinsensius Sigit Widhi Widhi Prabowo; Linda Meylani; Ersa Rahma Aqila Majid; Achmad Ali Muayyadi
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.759

Abstract

Fast growing number of cellular telecommunication technology resulting on the increasing number of the user equipment. This condition increased the eNodeB load. To overcome this problem, the device-to-device (D2D) underlaying communication is introduced. In underlaying scheme, the D2D user equipment (DUE) will do the communication process using the same radio resources with the conventional cellular user equipment (CUE). To avoid a severe interference between these two types of user in the system, a good resource allocation is needed. In this work, a power control scheme using particle swarm optimization (PSO) is proposed, to manage the transmit power on each user on the system. The power control scheme take place after the greedy scheduling algorithm, after all user is given a resource block (RB) to do the communication process. The power transmit for each user is managed to reach a better system capacity, and to reduce the power consumed in one communication process. From the simulation, the PSO power control can improve the sumrate and spectral efficiency up to 12.97% and 3.38% respectively. The PSO power control also can reduce the power consumed by the system up to 8.84%. The fairness happens among the CUEs also can be maintained, despite of the decreasing fairness among DUEs.
Performance Analysis of Resource Allocation Algorithm Based on Simple Particle Swarm Optimization for Device to Device Communication System Nisa Alwiyah; Muhammad Arung; Vinsensius Sigit Widhi Prabowo
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 10 No 1 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i1.5961

Abstract

The development of Device-to-Device (D2D) communication as an alternative communication scheme continues to grow. D2D communication enables each device to communicate directly with other devices without going through the Evolved Node B (eNB). These days, D2D communication can be implemented in conventional cellular communication, and use the same spectrum as the conventional cellular user (underlay). This underlay scheme can improve the cell’s spectrum efficiency, but the interference level that happens in the cell is increased. Because D2D communication and cellular communication use the same spectrum, there will be interference between D2D user equipment (DUE) and Cellular user Equipment (CUE). A well-designed radio resource allocation is needed to reduce the interference level, while maintaining the overall performance of the cell. In this research, Simplified Particle Swarm Optimization (SPSO) is proposed to overcome this problem. SPSO is a PSO-based algorithm with a limited number of iterations designed to halt calculations when the PSO algorithm cannot find a solution. If SPSO exceeds the limit iteration, a greedy algorithm is executed to do the allocation process. From the simulation, the SPSO algorithm can achieve 1.3310 × 108 bps, 12.3239 bps/Hz, 2.1328 × 103 bps/Watt and 92% on total sumrate, spectral efficiency, power efficiency, and system fairness respectively. These number is better if compared with the conventional greedy allocation algorithm. The total sumrate, spectral efficiency, and power efficiency are increased by 0.9%, 0.74%, and 0.95% in average datarate, spectral efficiency, and power efficiency respectively. Meanwhile the SPSO’s system fairness is decreased by 1.65% compared with the conventional greedy algorithm.
Investigating power scaling factor for pattern division multiple access Linda Meylani; Vinsensius Sigit Widhi Prabowo; Iswahyudi Hidayat; Nisa Alwiyah
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp370-382

Abstract

Pattern division multiple access (PDMA) is a one type of multi-domain non-orthogonal multiple access (NOMA) that support massive connectivity and can improve spectral efficiency. The unique pattern is used by each user to map its transmitting data into a group of resource, which consist of frequency, code and spatial domain or combination of these resources. Power scaling and phase shifting are used to resolve ambiguity as consequence non uniform distribution of the received combined constellation. In this paper, we propose investigation on power scaling factor for each user in PDMA matrix to increase sum rate transmission and propose combine successive interference cancellation (SIC) based on diversity order and power scaling factor for each user. The simulation results confirm that the proper implement power scaling factor in pattern type 2 show best performance in Rician fading channels.
Co-Authors Achmad Ali Muayyadi Akbar Rozak Alfiya Syifana Aloysius Adya Pramudita Andi Kahfi Basofi Arfianto Fahmi Astri Wulandari Aulia, Danny Bayu Ardiansyah Rahmadhani Brian Pamukti Claudia Sofiana Tamba Cruz, Sergio Jose Valente Da Dharu Arseno DHONI PUTRA SETIAWAN Doan Perdana Dwiandharu, Muhammad Andika Naufan Erico Noktafianus Hindarto, Martinus Ersa Rahma Aqila Majid Hafizha, Syahna Harfan Hian Ryanu Hikmah, Indah Nurul Ida Wahidah Hamzah Iswahyudi Hidayat Jumarman, Muhammad Naufal Hibatullah Khairullah Utama, Ilham Levy Olivia Nur Linda Meylani Lista Anggayani Martinus Erico Noktafianus Hindarto Mufti Adriansyah, Nachwan Muhammad Arung Muhammad Fawwaz Nesta Radha Nachwan Mufti Adiriansyah Nachwan Mufti Adriansyah Ningrum, Nadhifah Puspita Nisa Alwiyah Nisa Alwiyah Nur Andini Nur Izza Rahma Pratama, Faris Candra Yoga Putu Riyana Paramita Rezha Aulia Riyanda Riansyah, Aldi Rifqi Naufal Julian Rozak, Akbar Salim, Akhmad Raihan Salma Pratiwi Sarah Dhia Amani Sari, Nunung Puspa Shilvy Fatma Fitria Rachmawati Sitepu, Karolina Utama, Ilham Khairullah Wisnutama, William Wafi