Semantic Reliability Maximization: A Cooperative Perspective in Integrated Sensing, Communication and Computation Networks
Yao Lin Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink · 2023
Integrated Sensing, Communication, and Computation (ISCC) multi-functional networks represent a new paradigm in wireless communications, enabling comprehensive environmental perception, data processing, and communication. However, realizing the full potential of these networks requires addressing cooperative gain-a challenge given the competitive nature of the tasks associated with the various functionalities. This paper investigates the concept of semantic communication as a potential pathway towards achieving this cooperative gain. Despite the considerable body of research in semantic communications, the area of semantic reliability remains relatively unexplored, and characterization of semantic reliability within ISCC networks is particularly limited. In this study, we focus on the performance of semantic reliability within the ISCC framework. We formulate a joint resource allocation problem aimed at maximizing semantic reliability, thereby addressing the trade-off between different functionalities with limited resources. This approach transforms the traditionally competitive objectives into a cooperative framework from the perspective of semantic communications. Our analytical findings validate the efficacy of this approach, highlighting the benefits of focusing on semantic communication over traditional data communication in ISCC networks.