A Novel Approach on Semantic Performance Oriented Radio Resource Allocation

Recent research has made considerable progress in the field of Semantic Communication (SemCom), demonstrating its effectiveness in reliable transmission under low signal-to-noise ratio (SNR) conditions. The latest technique considers the semantic spectral efficiency (S-SE) of text information and related resource allocation problems. However, in radio access network (RAN) environments, it is usually necessary to allocate physical resource blocks (PRBs) to users rather than simply assigning channels. Therefore, further research is needed to address the resource allocation problem for SemCom in RAN environments. This paper reconsiders and solves the resource allocation optimization problem based on SemCom, optimizing resource allocation from two perspectives: allocating PRBs to users and transferring semantic symbols. Additionally, two conversion methods are proposed to compare the performance of different systems and allocation methods. The simulation results validate the proposed resource allocation method and the effectiveness of SemCom in terms of S-SE.