Dekorsy, ArminDemel, JohannesJohannesDemel2024-12-042024-12-042023-07-20https://media.suub.uni-bremen.de/handle/elib/844910.26092/elib/3483New use cases for wireless communication that require Ultra Reliable Low Latency Communication (URLLC) systems open a new trove of challenges. In this thesis we address the wireless software radio systems engineering challenges to achieve lower latency and higher reliability. Furthermore, we present a thorough analysis of PHYsical layer (PHY) Digital Signal Processing (DSP) concepts and their impact on latency and reliability. These concepts are used in a Medium-Access-Control (MAC) layer Scheduling and Resource Allocation (S&RA) analysis to find suitable approaches for S&RA that minimize burst errors. Finally, our PHY and MAC analysis results in a demonstrator that verifies our approaches in a testbed. Thus, it is possible to meet the requirements of URLLC systems with a full software Cloud Radio Access Network (Cloud RAN) implementation with distributed Access Points (APs).enCC BY-SA 4.0 (Attribution-ShareAlike 4.0)https://creativecommons.org/licenses/by-sa/4.0/5G, , ,, , , , ,URLLCIndustrie 4.0Industrial RadioSDRSoftwareReliabilityLatencyGNU Radio620Software radio systems engineering for URLLC Industrie 4.0 applicationsDissertationurn:nbn:de:gbv:46-elib84493