Scaled Conjugate Gradient Digital Cancellation Algorithm Study for 6G Full Duplex Wireless Communication System

The relentless evolution of communication technologies has spurred sustained interest in 6G (6th Generation) full-duplex wireless communication systems, positioning these systems as integral components of future networks. The primary challenge lies in optimizing algorithms to enhance system performance and spectrum efficiency. This study focuses specifically on the application of the Scaled Conjugate Gradient (SCG) algorithm in the domain of digital self-interference cancellation, aiming to achieve performance optimization in full-duplex wireless systems. Through an in-depth exploration of the principles and characteristics of the SCG algorithm, we apply it to critical aspects such as signal processing, interference cancellation, and more, with the goal of optimizing the overall system performance. Through experiments, we evaluate the effectiveness of the SCG algorithm and conduct comparative analyses with other optimization algorithms. The experimental results demonstrate that the lower complexity of the SCG algorithm effectively addresses the issue of self-interference signal cancellation under high transmit power conditions, resolving nonlinear problems introduced by components such as power amplifiers. Importantly, the SCG algorithm outperforms other digital cancellation methods in this context.