REINFORCEMENT LEARNING-BASED RATELESS CODING SCHEME FOR UNMANNED AERIAL VEHICLE (UAV) COMMUNICATIONS - Dalam bentuk buku karya ilmiah
OKZATA RECY
Informasi Umum
Kode
24.05.406
Klasifikasi
006.31 - Machine Learning
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Wireless Communications
Dilihat
470 kali
Informasi Lainnya
Abstraksi
This thesis proposes a novel technique for implementing a rateless coding scheme by employing intelligent methods, where the agent learns to decide the corresponding rate given a channel capacity. The main concepts behind reinforcement learning (RL)-based rateless coding are (i) learning capability of the decoder and (ii) learning capability of rate determination to satisfy the Shannon channel coding theorem. This thesis integrates both a transfer learning (TL) framework and a reinforcement learning framework to address this concept.<br /> <br /> This thesis: (i) studies machine learning (ML) structure for box-plus operation as an element of future error correction based on artificial intelligence (AI) using soft information processing with log-likelihood ratio (LLR) values, (ii) investigates the best structure of neurons in ML to deal with box-plus operation, (iii) utilizes a TL approach to learn a generalized message-passing algorithm for quasi-cyclic low-density parity-check (QC- LDPC) codes, by replacing
- TTI6Q3 - SISTEM CERDAS UNTUK KOMUNIKASI NIRKABEL
- TTI6E3 - TEORI INFORMASI DAN PENGKODEAN
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | OKZATA RECY |
| Jenis | Perorangan |
| Penyunting | Khoirul Anwar, Gelar Budiman |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S2 Teknik Elektro |
| Kota | Bandung |
| Tahun | 2024 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
