Enhanced Resource Allocation for Integrated Radar-Communication System Using RSMA

This study explores the use of Rate-Splitting Multiple Access (RSMA) in multi-antenna radar-communication (RadCom) systems to solve the combined communication and radar challenge. The partitioning of messages into common and private streams by RSMA allows us to optimize the management of interference and allocation of resources. We devise an optimization framework to maximize the Weighted Sum Rate (WSR) subject to power constraints and approxiamted desired radar beampatterns. An alternating direction method of multipliers (ADMM)-based algorithm is developed to solve this complicated non-convex optimization issue. Simulations using MATLAB demonstrate that the approach works, and provide a way to visualize through put, interference, and system metrics. The results show significant improvements over classical Space-Division Multiple Access (SDMA), with RSMA demonstrating superior adaptability and performance reliability across diverse environments. The research presents practical insights and adopts novel methodologies leading to an advancement of RadCom systems with implications for their integration and integration in next generation wireless networks, requiring efficient spectrum management and integrated sensing-communication capabilities.