Resource Allocation for Text Semantic Communications

Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime. However, resource allocation for semantic communications still remains unexplored, which is a critical issue in guaranteeing the semantic transmission reliability and the communication efficiency. To fill this gap, we investigate the spectral efficiency in the semantic domain and rethink the semantic-aware resource allocation issue. Specifically, taking text semantic communication as an example, the semantic spectral efficiency (S-SE) is defined for the first time, and is used to optimize resource allocation in terms of channel assignment and the number of transmitted…

• NN
  National Natural Science Foundation of China

  Awards: 61901345, 61901333, 62001358
• CP
  China Postdoctoral Science Foundation

  Award: 2019M663630
• HT
  Huawei Technologies
• CS
  China Scholarship Council

  Award: 202006960013
• HE
  Higher Education Discipline Innovation Project

  Award: B08038
• SK
  State Key Laboratory of Integrated Services Networks

  Award: ISN090105