论文标题
带有一些消息候选的语义通信系统的信号塑造
Signal Shaping for Semantic Communication Systems with A Few Message Candidates
论文作者
论文摘要
语义通信的目标是可靠地传达信息的语义含义。它与关注可靠位传输的现有通信系统不同。为了实现语义通信的目标，我们通过最大程度地减少语义损失提出了一种信号塑形方法，语义损失是通过介绍的双向编码器（BERT）模型来衡量的。研究了带有一些消息候选的语义通信系统的信号集优化问题。我们提出了一种有效的投影梯度下降方法，以解决问题并证明其收敛性。仿真结果表明，所提出的方法在最小化语义损失方面优于现有的信号塑形方法。
Semantic communications target to reliably convey the semantic meaning of messages. It is different from existing communication systems focusing on reliable bit transmission. To achieve the goal of semantic communications, we propose a signal shaping method by minimizing the semantic loss, which is measured by the pretrained bidirectional encoder representation from transformers (BERT) model. The signal set optimization problem for semantic communication systems with a few message candidates is investigated. We propose an efficient projected gradient descent method to solve the problem and prove its convergence. Simulation results show that the proposed method outperforms existing signal shaping methods in minimizing the semantic loss.
