Lederer, DimitriWallner, CômeCômeWallner2025-05-142025-05-142025-05-142024https://hdl.handle.net/2078.2/38948The Internet of Things (IoT) is expanding rapidly, driving the need for higher data rates, wider coverage and lower latency. In response, Semtech has developed a new Long Range (LoRa) chip that operates in the 2.4 GHz Industrial, Scientific and Medical (ISM) band, as opposed to the previous 868 MHz band. This change enables higher bandwidth and improved data rates. To provide coverage in remote areas, companies are developing modules capable of communicating either with satellites when they are overhead or via terrestrial means. This master thesis proposes an analysis and study of these communication methods. It examines the new parameters offered by the SX1280 chip used in the LilyGo T3-S3 board, and measures its power consumption. Since the goal is to transmit data to satellites, the study also includes an analysis of two proposed satellites and a study of attenuation. To address the power requirements for satellite communication, two Radio Frequency (RF) chains are proposed and analysed. These chains utilize the QPA9119 Power amplifier (PA) from Qorvo and SKYA21012 Single Pole Double Throw (SPDT) switches from Skyworks. The RF chains, designed for both reception and transmission, use only passive devices apart from the PA and switches. Simulations were conducted using Advanced Design System (ADS) from Keysight. They showed that the receiver path is attenuated by approximately -1.45 dB without switches and -1 dB with switches. For the transmit path, the first design achieved a theoretical gain of 7 dB with a two-stage PA, while the second design, using a single-stage PA and two switches, achieved a gain of 12.4 dB. Although these results were not confirmed in the manufactured designs, the thesis includes an analysis of the possible causes of these unexpected events.LoRaEarth-satellite communications2.4 GHzIoTRFAttenuationsPASwitchesAnalysis and study of LoRa-based earth-satellite communications at 2.4 GHz for IoT applicationstext::thesis::master thesisthesis:48897