
A deep learning framework is proposed to effectively estimate the sensing and communication channels in an IRS-assisted integrated sensing and communication system.


coremsg

deep-learning-based-channel-estimation-for-an-integrated-sensing-and-communication-system-assisted-by-intelligent-reflecting-surface


Deep Learning-Based Channel Estimation for an Integrated Sensing and Communication System Assisted by Intelligent Reflecting Surface


title_rewrite


This paper introduces a novel augmented Lagrangian manifold optimization (ALMO) framework to maximize the communication sum rate of an ISAC system while satisfying sensing beampattern gain targets and base station transmit power constraints.


optimizing-transmit-beamforming-for-integrated-sensing-and-communication-systems-using-augmented-lagrangian-manifold-optimization


Optimizing Transmit Beamforming for Integrated Sensing and Communication Systems using Augmented Lagrangian Manifold Optimization
