论文标题
可重构智能表面依靠非对角性相移矩阵
Reconfigurable Intelligent Surfaces Relying on Non-Diagonal Phase Shift Matrices
论文作者
论文摘要
可重新配置的智能表面(RIS)已被积极研究为未来无线通信的潜在技术,可智能地改善信号传播环境。在常规设计中,每个RIS元素都与所有其他RIS元素独立地配置并反映其接收的信号,从而导致对角相移矩阵。相比之下,我们提出了一种新型的RIS架构,在适当的相移调整后,可以从另一个元素中反映出一个元素的入射信号,从而提高了RIS相移设计的灵活性,从而有可能改善系统性能。与常规设计的纯对角线结构相比,所得的RIS相移矩阵也具有异对决元素。与最先进的完全连接/组相互连接的RIS结构相比,我们提出的RIS结构的复杂性较低,同时获得的通道增益较高,而较高的RIS结构则接近了完全连接的RIS结构。我们通过共同优化了基于交替优化和半定义松弛(SDR)方法的非对基相相移矩阵来制定和解决最大化我们提出的RIS架构可实现速率的问题。此外,得出了通道增益,中断概率和位误差比(BER)的闭合形式表达式。仿真结果表明,与传统体系结构相比,在单用户和多用户方案中,我们提出的RIS架构在可实现的速率方面的性能提高了。
Reconfigurable intelligent surfaces (RIS) have been actively researched as a potential technique for future wireless communications, which intelligently ameliorate the signal propagation environment. In the conventional design, each RIS element configures and reflects its received signal independently of all other RIS elements, which results in a diagonal phase shift matrix. By contrast, we propose a novel RIS architecture, where the incident signal impinging on one element can be reflected from another element after an appropriate phase shift adjustment, which increases the flexibility in the design of RIS phase shifts, hence, potentially improving the system performance. The resultant RIS phase shift matrix also has off-diagonal elements, as opposed to the pure diagonal structure of the conventional design. Compared to the state-of-art fully-connected/group-connected RIS structures, our proposed RIS architecture has lower complexity, while attaining a higher channel gain than the group-connected RIS structure, and approaching that of the fully-connected RIS structure. We formulate and solve the problem of maximizing the achievable rate of our proposed RIS architecture by jointly optimizing the transmit beamforming and the non-diagonal phase shift matrix based on alternating optimization and semi-define relaxation (SDR) methods. Moreover, the closed-form expressions of the channel gain, the outage probability and bit error ratio (BER) are derived. Simulation results demonstrate that our proposed RIS architecture results in an improved performance in terms of the achievable rate compared to the conventional architecture, both in single-user as well as in multi-user scenarios.