论文标题
IRS辅助频谱共享中的联合功率控制和被动横梁形成
Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing
论文作者
论文摘要
在认知无线电（CR）通信系统中，在存在强大的交联干扰（PU）的情况下，达到高次级用户（SU）速率是具有挑战性的。在这封信中，我们利用新兴的智能反射表面（IRS）技术来解决此问题。具体而言，我们研究了IRS辅助CR通信系统，其中部署了IRS来协助PU链接和SU链接之间的频谱共享。我们旨在通过共同优化SU传输功率，而IRS反映了波束形成，我们的目标是通过给定的信噪比链接目标的可实现的SU速率。由于该法式问题由于其非共识性和耦合变量而难以解决，因此我们提出了一种有效的算法，基于交替的优化和连续的凸近近似技术，以次要的方式解决它，以及某些启发式设计，以使其具有较低的复杂性。仿真结果表明，即使对于不使用IRS的情况下，IRS也能够显着提高SU率，即使在常规CR系统中被认为最具挑战性的情况。
In cognitive radio (CR) communication systems, achieving high secondary user (SU) rate in the presence of strong cross-link interference with the primary user (PU) is challenging. In this letter, we exploit the emerging intelligent reflecting surface (IRS) technology to tackle this problem. Specifically, we investigate an IRS-assisted CR communication system where an IRS is deployed to assist in the spectrum sharing between a PU link and an SU link. We aim to maximize the achievable SU rate subject to a given signal-to-interference-plus-noise ratio target for the PU link, by jointly optimizing the SU transmit power and IRS reflect beamforming. Since the formulated problem is difficult to solve due to its non-convexity and coupled variables, we propose an efficient algorithm based on alternating optimization and successive convex approximation techniques to solve it sub-optimally, along with some heuristic designs for lower complexity. Simulation results show that IRS is able to significantly improve the SU rate, even for the scenarios deemed most challenging in conventional CR systems without using IRS.
