This paper studies integrated sensing and communication (ISAC) technology in a full-duplex (FD) uplink communication system. As opposed to the half-duplex system, where sensing is conducted in a first-emit-then-listen manner, FD ISAC system emits and listens simultaneously and hence conducts uninterrupted target sensing. Besides, impressed by the recently emerging reconfigurable intelligent surface (RIS) technology, we also employ RIS to improve the self-interference (SI) suppression and signal processing gain. As will be seen, the joint beamforming, RIS configuration and mobile users' power allocation is a difficult optimization problem. To resolve this challenge, via leveraging the cutting-the-edge majorization-minimization (MM) and penalty-dual-decomposition (PDD) methods, we develop an iterative solution that optimizes all variables via using convex optimization techniques. Numerical results demonstrate the effectiveness of our proposed solution and the great benefit of employing RIS in the FD ISAC system.

翻译：本文研究全双工（FD）上行通信系统中的集成感知与通信（ISAC）技术。与采用先发射后监听方式的半双工系统不同，FD ISAC系统可同时发射与监听，从而实现对目标的连续感知。此外，受新兴的可重构智能表面（RIS）技术启发，我们采用RIS来提升自干扰（SI）抑制与信号处理增益。如所见，联合波束赋形、RIS配置与移动用户功率分配是一个复杂的优化问题。为解决该难题，通过运用前沿的Majorization-Minimization（MM）和Penalty-Dual-Decomposition（PDD）方法，我们开发了一种利用凸优化技术对所有变量进行迭代优化的求解方案。数值结果验证了所提方案的有效性，以及在全双工ISAC系统中采用RIS的巨大优势。