OFDM Simulation Using GNURadio on Dynamic Channels
- DOI
- 10.2991/978-94-6463-092-3_9How to use a DOI?
- Keywords
- GNURadio; Digital Communications; OFDM; Dynamic Channels
- Abstract
OFDM system can be implemented on GNU Radio, one type of SDR (software-defined radio). SDR is a transmitter and receiver system that uses digital signal processing to code, decode, and modulate data. GNU Radio is used as a transmitter and receiver model for quality measurements for the working of the OFDM system under various conditions. This measurement will compare real-time data transmission performance results through AWGN channels and dynamic channel models, namely Rayleigh Distributed (NLOS) and Rician (LOS). The specification of the OFDM system used in this study is to use GNU Radio software with BPSK modulation (Binary Phase Shift Keying). The simulation model’s output in the GRC during real-time data transmission via AWGN and Rayleigh distributed (NLOS) and Rician Distributed (LOS) model channels with GNU Radio is the performance of OFDM signals with the noise of 25mV, 50mV, 100 mV, and 200mV. The results of the research simulation obtained SNR values on AWGN, NLOS, and LOS channels directly proportional to noise. The SNR value is down significantly to four times the initial value.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nyaris Pambudiyatno AU - B. B. Harianto AU - A. Mauludiyanto PY - 2023 DA - 2023/02/21 TI - OFDM Simulation Using GNURadio on Dynamic Channels BT - Proceedings of the International Conference on Advance Transportation, Engineering, and Applied Science (ICATEAS 2022) PB - Atlantis Press SP - 100 EP - 110 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-092-3_9 DO - 10.2991/978-94-6463-092-3_9 ID - Pambudiyatno2023 ER -