Radio Resource Management for eXtended Reality

This thesis addresses the challenges of supporting extended reality (XR) applications in fifth-generation (5G)-Advanced. It proposes practical radio resource management solutions focusing on three key areas: First, it develops enhanced link adaptation algorithms for code block group-based transmissions, improving XR capacity by up to 50%. Second, it introduces a novel application-aware scheduling framework that increases XR system capacity by 45% while maintaining enhanced mobile broadband (eMBB) performance. Third, it presents an innovative inter-cell interference coordination technique that enhances XR capacity by 32% with minimal impact on eMBB throughput. The research also explores uplink performance optimization through transmit power control. Several findings have already contributed to 5G-Advanced standards, while others provide valuable insights for upcoming 6G development. The solutions presented demonstrate significant improvements in supporting XR services while efficiently managing their coexistence with enhanced mobile broadband traffic.