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All Journal Journal of ICT Research and Applications Emerging Science Journal Syntax Literate: Jurnal Ilmiah Indonesia
Irma Zakia
School Of Electrical Engineering And Informatics, Institut Teknologi Bandung
Humanities Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Performance Improvement of LeastSquares Adaptive Filter for High-Speed Train Communication Systems Irma Zakia; Adit Kurniawan
Journal of ICT Research and Applications Vol. 11 No. 2 (2017)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2017.11.2.3

Abstract

The downlink communication channel from high-altitude platform (HAP) to high-speed train (HST) in the Ka-band is a slowly time-varying Rician distributed flat fading channel with 10-25 dB Rician K factor. In this respect, the received signal is mainly affected by the Doppler shift of the line-of-sight (LOS) link. In order to increase receiver performance, we propose to firstly compensate the Doppler shift of the received signal before least-squares (LS) adaptive filtering is pursued. Implementing the proposed method requires a priori knowledge of the time-varying phase of the LOS component. This is justified since signalling between the train and the controller exists such that the train velocity and location are predictable. Implementing the proposed method to the recursive LS (RLS) received beamforming algorithm shows reduction of mean square error (MSE) and bit error rate (BER).
Pengembangan dan Evaluasi Web Dashboard Sistem Prediksi User Throughput-Downlink Berbasis Machine Learning Untuk Jaringan 4G LTE Wervyan Shalannanda; Muhammad Taufiq Rafiandi; Irma Zakia
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1096.289 KB) | DOI: 10.36418/syntax-literate.v8i1.11250

Abstract

Seiring dengan perkembangan teknologi dan harga perangkat yang relatif terjangkau, pelanggan jaringan seluler cenderung menggunakan smartphone yang mendukung konektivitas berbagai generasi teknologi seluler, mulai dari 2G, 3G, 4G, hingga 5G. Masing-masing generasi memiliki kebutuhan dan kualitas layanan tertentu. Berdasarkan pertimbangan jumlah pelanggan jaringan seluler jaringan 4G yang masih dominan sampai saat ini, sistem dirancang untuk mengolah berbagai parameter jaringan 4G untuk memprediksi throughput yang berasal baik dari dataset yang sudah tersedia maupun hasil dari pengukuran. Sistem dapat menghitung korelasi antara throughput dengan parameter lain yang akan dijadikan nilai masukan sistem. Throughput yang dimaksud pada penelitian ini adalah downlink throughput, yaitu volume trafik pada periode tertentu yang berasal dari internet menuju perangkat pengguna (smartphone). Penelitian ini fokus pada pengembangan dan evaluasi web dashboard Sistem Prediksi User Throughput-Downlink berbasis Machine Learning untuk Jaringan 4G LTE dengan evaluasi berupa uji fungsional dan uji terima berbasis technology acceptance model (TAM). Uji fungsional mencakup pengujian pada halaman utama, fungsionalitas fitur data loading, fungsionalitas feature selection, dan fungsionalitas fitur modelling and evaluation data. Uji terima dilakukan atas tiga konstruk, yaitu persepsi tampilan web dashboard keseluruhan, usefulness, dan ease of use. Uji terima dilakukan kepada 76 responden dengan nilai modus dan nilai rata-rata ≥ 4 dari skala 5.
Enhanced Optimization Strategy to Maximize Achievable Rate of Millimeter-Wave Full-Duplex UAV on Multiple User Harinitha, Dwi; Zakia, Irma; Iskandar
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-07

Abstract

This study proposes an enhanced optimization strategy to maximize the achievable data rate of millimeter-wave (mmWave) full-duplex (FD) unmanned aerial vehicles (UAVs) in multi-user scenarios. The objective is to address signal degradation from high-frequency path loss and self-interference while ensuring efficient resource allocation across multiple user equipment (UEs). A joint optimization framework is introduced, integrating UAV positioning, beamforming vector design at both the gateway and UAV, and power allocation. Initially, the Alternating Interference Suppression (AIS) algorithm is adapted for multiple UEs, but due to emerging non-convexity, the problem is reformulated using a first-order approximation approach. The solution is decomposed into two iterative sub-problems—optimizing UAV location and then solving for beamforming and power distribution. MATLAB-based simulations validate the proposed approach, revealing a threefold increase in achievable data rate and a 40.85% improvement in power efficiency compared to non-optimized systems. The novelty of this work lies in its scalable multi-user adaptation and its integrated, power-aware optimization algorithm, outperforming conventional FD and half-duplex strategies. This contribution significantly advances the design of efficient, high-throughput UAV communication systems for next-generation wireless networks, especially in environments with frequent line-of-sight obstructions.
Co-Authors Adit Kurniawan Harinitha, Dwi ISKANDAR Muhammad Taufiq Rafiandi Wervyan Shalannanda