摘要
Abstract
To achieve efficient integration of communication and sensing,and improve spectrum efficiency in future wireless networks with increasingly scarces pectrum resources,a system architecture was proposed based on a Reconfigu-rable Intelligent Surface(RIS)-assisted Integrated Sensing and Communication(ISAC),enabling simultaneous target detec-tion and multi-user communication via a dual-functional multi-antenna base station.To enhance overall system perfor-mance,a joint optimization model targeting weighted sum and rate maximization was formulated.The model is subject to a series of practical constraints,including the signal-to-interference-plus-noise-ratio(SINR)for communication users,the signal-to-clutter-plus-noise ratio(SCNR)for sensing,the total transmit power of the base station,and the norm error of the antenna covariance matrix.On this basis,an efficient solution algorithm based on an alternating optimization frame-work was designed,integrating fractional optimization,semidefinite optimization,and convex second-order cone optimiza-tion techniques to achieve joint optimization of the base station transmission beam and RIS reflection coefficients.Simula-tion results demonstrated that the proposed joint optimization algorithm effectively enhances the performance of RIS-as-sisted ISAC systems and significantly improves communication and sensing beamforming gains as well as the weighted sum rate under various channel conditions,fully validating the effectiveness of the proposed algorithm.关键词
通信感知一体化/可重构智能反射面/凸二阶锥优化/分式优化/半正定优化Key words
integrated sensing and communication/reconfigurable intelligent surface/second-order convex cone opti-mization/fractional optimization/semidefinite optimization分类
信息技术与安全科学
