Joint Semantic Communication and Target Sensing for 6G Communication System

TL;DR

This paper proposes a joint semantic communication and target sensing framework for 6G systems, optimizing secure resource allocation and beamforming to enhance security and sensing performance.

Contribution

It introduces a novel approach combining semantic information extraction with beamforming design for secure integrated sensing and communication in 6G.

Findings

Proposed an iterative algorithm for maximizing semantic secrecy rate.

Demonstrated improved security and detection reliability through simulations.

Achieved balanced quality of service and sensing performance.

Abstract

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.