Joint Semantic Communication and Target Sensing for 6G Communication System
CoRR(2024)
摘要
This paper investigates the secure resource allocation for a downlink
integrated sensing and communication system with multiple legal users and
potential eavesdroppers. In the considered model, the base station (BS)
simultaneously transmits sensing and communication signals through beamforming
design, where the sensing signals can be viewed as artificial noise to enhance
the security of communication signals. To further enhance the security in the
semantic layer, the semantic information is extracted from the original
information before transmission. The user side can only successfully recover
the received information with the help of the knowledge base shared with the
BS, which is stored in advance. Our aim is to maximize the sum semantic secrecy
rate of all users while maintaining the minimum quality of service for each
user and guaranteeing overall sensing performance. To solve this sum semantic
secrecy rate maximization problem, an iterative algorithm is proposed using the
alternating optimization method. The simulation results demonstrate the
superiority of the proposed algorithm in terms of secure semantic communication
and reliable detection.
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