Desain Beamforming Adaptif pada sisitem MIMO untuk meningkatkan kinerja di lingkungan urban

Syahputra, Reza Agung (2026) Desain Beamforming Adaptif pada sisitem MIMO untuk meningkatkan kinerja di lingkungan urban. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

Preview	Text (Cover) Cover.pdf - Cover Image Download (122kB) | Preview
Preview	Text (Abstrak) Abstrak.pdf Download (121kB) | Preview
Preview	Text (LEMBAR PERNYATAAN) Surat pernyataan karya sendiri_Reza Agung Syahputra (1).pdf Download (383kB) | Preview
Preview	Text (Daftar Isi) Daftar Isi.pdf Download (173kB) | Preview
Preview	Text (BAB I) BAB I.pdf Download (264kB) | Preview
	Text (BAB II) BAB II.pdf Restricted to Registered users only Download (583kB) | Request a copy
	Text (BAB III) BAB III.pdf Restricted to Registered users only Download (214kB) | Request a copy
	Text (BAB IV) BAB IV.pdf Restricted to Registered users only Download (380kB) | Request a copy
	Text (BAB V) BAB V.pdf Restricted to Registered users only Download (420kB) | Request a copy
	Text (BAB VI) BAB VI.pdf Restricted to Registered users only Download (141kB) | Request a copy
	Text (Daftar Pustaka) Daftar Pustaka.pdf Restricted to Registered users only Download (161kB) | Request a copy

Abstract

INDONESIA: Tingginya tingkat multipath fading dan interferensi pada lingkungan urban menyebabkan penurunan performa sistem komunikasi nirkabel, khususnya pada sistem Multiple-Input Multiple-Output (MIMO). Kondisi kanal Rayleigh yang dinamis mengakibatkan kualitas sinyal menurun sehingga meningkatkan kemungkinan terjadinya kesalahan transmisi data. Oleh karena itu, diperlukan teknik pemrosesan sinyal yang mampu beradaptasi terhadap perubahan kondisi kanal untuk meningkatkan keandalan komunikasi. Tugas Akhir ini bertujuan untuk merancang dan mengimplementasikan beamforming adaptif berbasis algoritma Recursive Least Squares (RLS) pada sistem komunikasi MIMO 2×2 guna meningkatkan performa sistem pada lingkungan urban dengan kanal Rayleigh fading. Tugas Akhir ini menguji tiga skenario sistem, yaitu kanal Rayleigh tanpa beamforming, beamforming statis berbasis Array Steering Vector, dan beamforming adaptif berbasis RLS. Pengujian dilakukan melalui simulasi berbasis MATLAB menggunakan modulasi Binary Phase Shift Keying (BPSK) pada sistem komunikasi MIMO 2×2. Sistem diuji pada rentang Signal-to-Noise Ratio (SNR) 0–40 dB dengan model kanal Rayleigh multipath fading untuk merepresentasikan kondisi lingkungan urban. Pada beamforming adaptif, algoritma RLS digunakan untuk memperbarui bobot antena secara iteratif berdasarkan error antara sinyal referensi dan sinyal estimasi. Analisis kinerja sistem difokuskan pada Bit Error Rate (BER), Mean Squared Error (MSE), dan throughput untuk mengevaluasi efektivitas beamforming adaptif dalam mengurangi pengaruh multipath fading dan interferensi. Hasil analisis menunjukkan bahwa beamforming adaptif berbasis RLS memberikan performa terbaik dibandingkan kanal Rayleigh tanpa beamforming maupun beamforming statis. Sistem RLS-BF mampu mencapai target BER 10⁻³ pada SNR 21,43 dB, lebih baik dibandingkan Rayleigh simulasi tanpa beamforming yang membutuhkan sekitar 24 dB. Selain itu, beamforming adaptif RLS menghasilkan penurunan BER yang lebih signifikan serta throughput yang lebih tinggi, khususnya pada SNR rendah hingga menengah. Hasil pengujian konvergensi juga menunjukkan bahwa algoritma RLS mampu mencapai nilai MSE yang stabil dan rendah selama fase pelatihan, sehingga bobot beamformer dapat beradaptasi secara optimal terhadap kondisi kanal Rayleigh. Berdasarkan hasil tersebut, implementasi beamforming adaptif berbasis RLS terbukti efektif dalam meningkatkan keandalan sistem komunikasi MIMO pada lingkungan urban dengan multipath fading dan interferensi tinggi. ENGLISH: High levels of multipath fading and interference in urban environments cause significant degradation in wireless communication system performance, particularly in Multiple-Input Multiple-Output (MIMO) systems. Dynamic Rayleigh channel conditions reduce signal quality and increase the probability of transmission errors. Therefore, adaptive signal processing techniques are required to improve communication reliability under varying channel conditions. This Final Project aims to design and implement adaptive beamforming based on the Recursive Least Squares (RLS) algorithm in a 2×2 MIMO communication system to enhance system performance in urban environments with Rayleigh fading channels. This study evaluates three system scenarios, namely Rayleigh channels without beamforming, static beamforming based on the Array Steering Vector method, and adaptive beamforming based on the RLS algorithm. The simulations were carried out using MATLAB with Binary Phase Shift Keying (BPSK) modulation in a 2×2 MIMO communication system. The system was tested over a Signal-to-Noise Ratio (SNR) range of 0–40 dB using a Rayleigh multipath fading channel model to represent urban communication environments. In the adaptive beamforming scheme, the RLS algorithm updates antenna weights iteratively based on the error between the reference signal and the estimated signal. System performance analysis focuses on Bit Error Rate (BER), Mean Squared Error (MSE), and throughput to evaluate the effectiveness of adaptive beamforming in mitigating multipath fading and interference effects. The analysis results show that adaptive beamforming based on the RLS algorithm provides the best performance compared to Rayleigh channels without beamforming and static beamforming. The RLS-BF system is capable of achieving the BER target of 10⁻³ at an SNR value of 21.43 dB, outperforming the conventional Rayleigh simulation without beamforming, which requires approximately 24 dB. In addition, adaptive RLS beamforming achieves a more significant BER reduction and higher throughput, especially at low to medium SNR levels. The convergence analysis also demonstrates that the RLS algorithm achieves stable and low MSE values during the training phase, allowing the beamformer weights to adapt optimally to Rayleigh channel conditions. Based on these results, the implementation of adaptive beamforming using the RLS algorithm is proven to be effective in improving the reliability of MIMO communication systems in urban environments with severe multipath fading and high interference.

Actions (login required)

View Item