Resource Allocation for Text Semantic Communications
Resource Allocation for Text Semantic Communications
复制标题
文本语义通信的资源分配
DOI：
10.1109/lwc.2022.3170849
复制
发表时间：
2022
影响因子：
6.3
通讯作者：
Li Geoffrey Ye
中科院分区：
文献类型：
--
作者：
Yan Lei;Qin Zhijin;Zhang Rui;Li Yongzhao;Li Geoffrey Ye
语义通信在提高传输可靠性方面显示出巨大的潜力，特别是在低信噪比条件下。然而，语义通信的资源分配问题是保证语义传输可靠性和通信效率的关键问题。为了填补这一空白，我们研究了语义域的频谱效率，并重新思考了语义感知的资源分配问题。具体而言，以文本语义通信为例，首次定义了语义谱效率（S-SE），用于从信道分配和传输语义符号数量两方面优化资源分配。此外，为了公平地比较语义通信系统和传统通信系统，开发了一种转换方法，将传统的基于位的频谱效率转换为S-SE。仿真结果证明了所提出的资源分配方法的有效性和可行性，以及语义通信在S-SE方面的优越性。
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 semantic symbols. Additionally, for fair comparison of semantic and conventional communication systems, a transform method is developed to convert the conventional bit-based spectral efficiency to the S-SE. Simulation results demonstrate the validity and feasibility of the proposed resource allocation method, as well as the superiority of semantic communications in terms of the S-SE.