论文标题
智能干扰渠道可实现的速率区域有助于智能反射表面
Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface
论文作者
论文摘要
本文研究了智能反射表面（IRSS）的帮助，研究了多输入单输出（MISO）干扰通道的可实现速率区域。我们利用协调的IRS提供的附加自由度来增强所需的信号并抑制干扰，从而扩大干扰通道的可实现速率区域。为此，我们在发射机处共同优化了IRSS处的发射器上的主动传输光束形成，并受到反射光束成型向量的恒定模量约束的影响。为了解决非凸优化问题，我们提出了一种迭代算法，以通过二阶锥体程序（SOCP）（SOCP）优化发射光束，并通过半决赛弛豫（SDR）进行反射光束形成。数值结果表明，IRS辅助干扰通道对所提出的算法的性能可以显着胜过没有IRS的常规干扰通道。
This paper investigates the achievable rate region of the multiple-input single-output (MISO) interference channel aided by intelligent reflecting surfaces (IRSs). We exploit the the additional design degree of freedom provided by the coordinated IRSs to enhance the desired signal and suppress interference so as to enlarge the achievable rate region of the interference channel. To this end, we jointly optimize the active transmit beamforming at the transmitters and passive reflective beamforming at the IRSs, subject to the constant modulus constraints of reflective beamforming vectors. To address the non-convex optimization problem, we propose an iterative algorithm to optimize the transmit beamforming via second-order cone program (SOCP) and the reflective beamforming via the semi-definite relaxation (SDR). Numerical results demonstrate that the performance of the IRS-aided interference channel with the proposed algorithm can significantly outperform the conventional interference channel without IRS.
