论文标题
智能反映表面辅助NOMA网络的稳健且安全的通信
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks
论文作者
论文摘要
这封信研究了智能反射表面（IRS）辅助非正交多访问（NOMA）网络中的安全传输。考虑使用窃听器的通道状态信息的实用窃听场景，我们建议使用人工噪声来确保与IRS的安全性Noma传输。制定了关节发射光束形成和IRS相移优化问题，以最大程度地减少发射功率。由于该问题是非凸面和解决挑战性的，因此我们开发了一种有效的替代优化（AO）算法来获得固定点解决方案。仿真结果验证了鲁棒光束形成方案的安全优势和AO算法的有效性。
This letter investigates secure transmission in an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) network. Consider a practical eavesdropping scenario with imperfect channel state information of the eavesdropper, we propose a robust beamforming scheme using artificial noise to guarantee secure NOMA transmission with the IRS. A joint transmit beamforming and IRS phase shift optimization problem is formulated to minimize the transmit power. Since the problem is non-convex and challenging to resolve, we develop an effective alternative optimization (AO) algorithm to obtain stationary point solutions. Simulation results validate the security advantage of the robust beamforming scheme and the effectiveness of the AO algorithm.
