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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Mahasiswa TEUB
Rohmatillah, Mahdin
Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya
Computer Science & IT Education Electrical & Electronics Engineering

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Implementation of Deep Learning Based Method for Optimizing Spatial Diversity MIMO Communication Rohmatillah, Mahdin; Pramono, Sholeh Hadi; Asyari, Rifa Atul Izza Asyari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 2: June 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.862 KB) | DOI: 10.52549/ijeei.v8i2.1247

Abstract

As an alternative solution of the isuue trade-off phenomenon between performance and computational complexity always become the hugest dilemma suffered by researchers, this research proposes an optimization in spatial diversity MIMO communication system using end-to-end learning based model, specifically, it adapts autoencoder model. Two models are introduced in this research which each of them address a problem about data detection task and channel estimation task that has not been addressed in the previous research. The proposed models were evaluated in one of the most common channel impairment which is Rayleigh fading with additional Additive White Gaussian Noise (AWGN) and compared to the standard Alamouti scheme. The results show that these deep learning based models for MIMO communication system result in very promising results by outperforming the baseline methods. In perfect CSIR (Channel State Information in Receiver side) case, the proposed models achieve BER nearly  at SNR 22.5 dB. While in channel estimation case, the proposed models can exceed the baseline performance even by only transmitting 2 pilots.
Implementation of Deep Learning Based Method for Optimizing Spatial Diversity MIMO Communication Mahdin Rohmatillah; Sholeh Hadi Pramono; Rifa Atul Izza Asyari Asyari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 2: June 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.862 KB) | DOI: 10.52549/ijeei.v8i2.1247

Abstract

As an alternative solution of the isuue trade-off phenomenon between performance and computational complexity always become the hugest dilemma suffered by researchers, this research proposes an optimization in spatial diversity MIMO communication system using end-to-end learning based model, specifically, it adapts autoencoder model. Two models are introduced in this research which each of them address a problem about data detection task and channel estimation task that has not been addressed in the previous research. The proposed models were evaluated in one of the most common channel impairment which is Rayleigh fading with additional Additive White Gaussian Noise (AWGN) and compared to the standard Alamouti scheme. The results show that these deep learning based models for MIMO communication system result in very promising results by outperforming the baseline methods. In perfect CSIR (Channel State Information in Receiver side) case, the proposed models achieve BER nearly  at SNR 22.5 dB. While in channel estimation case, the proposed models can exceed the baseline performance even by only transmitting 2 pilots.
DESIGN AND PERFORMANCE ANALYSIS OF MULTI DIAGONAL SPECTRAL AMPLITUDE CODEWORDS FOR OPTICAL CODE DIVISION MULTIPLE ACCESS WITH VARIATION OF LINE CODINGS IN FSO COMMUNICATION SYSTEM Mahdin Rohmatillah; Sholeh Hadi Pramono; Nor Shahida Binti Mohd Shah
Jurnal Mahasiswa TEUB Vol 4, No 1 (2016)
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebagaimana komunikasi melalui FSO telah semakin berkembang dan mampu mendukung sistem komunikasi multi-user, maka teknik multiple-acces menjadi sangat penting didalam sistem tersebut.Diantara semua teknik multiple-access dalam lingkup optik, OCDMA menjadi teknik yang paling menarik perhatian karena bersifat fleksibel, mudah dalam pengimplementasiannya, sinkronisasi antar user tidak dibutuhkan, serta mampu menangani trafik dalam sistem. Terdapat banyak jenis kode yang ditawarkan dalam sistem OCDMA, salah satu kode yang mampu menangani Multiple Access Interference adalah kode Multi Diagonal (MD). Isu lain yang perlu dibahas adalah cahaya laser menjalar pada lapisan troposfer yang dikenal tidak stabil seperti halnya dielektrik kabel serat optik. Penelitian ini menganalisa Multi Diagonal Spectral Amplitude Codewords untuk OCDMA untuk sistem komunikasi FSO didalam lima jenis cuaca, yaitu cerah, berkabut, hujan ringan, hujan sedang, dan hujan lebat dengan simulasi pada software OptiSystem 13. Jenis line coding yang digunakan adalah non chirped NRZ, chirped NRZ, RZ, dan Manchester. Dari hasil didapatkan jenis line coding terbaik adalah chirped NRZ dan yang terburuk adalah ManchesterKata Kunci – Multi Diagonal Spectral Amplitude Codewords, OCDMA, FSO, non chirped NRZ, chirped NRZ, RZ, Manchester
Co-Authors Asyari, Rifa Atul Izza Asyari Nor Shahida Binti Mohd Shah Rifa Atul Izza Asyari Asyari