Unsupervised Learning for Joint Beamforming Design in RIS-aided ISAC
Systems
Unsupervised Learning for Joint Beamforming Design in RIS-aided ISAC
Systems
It is critical to design efficient beamforming in reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) systems for enhancing spectrum utilization. However, conventional methods often have limitations, either incurring high computational complexity due to iterative algorithms or sacrificing performance when using heuristic methods. To achieve both low complexity and …