基于智能反射面的无线抗干扰通信方法

由于无线信道的开放性，当前无线通信系统愈发受到恶意干扰攻击. 为了提高无线通信干扰能力，提出了一种基于智能反射面（intelligent reflecting surface, IRS）的抗干扰通信方法. 针对IRS辅助的通信抗干扰系统，考虑在用户接收信干噪比约束和连续相移约束下，建立非线性、多变量耦合的功率最小化资源分配模型，以实现频谱和能量性能的双向提升. 利用交替优化和半正定松弛求解原变量耦合的非凸优化问题，以得到最优发射波束和IRS相移. 此外，针对模型求解复杂度高的问题，还提出了一种低复杂度算法以得到发射波束的低复杂度闭式解. 同时，进一步提出了一种实用且快速响应的经验算法，以应对时变高动态干扰. 仿真结果表明，与现有未引入IRS方案相比，所提算法在各种情况下收敛迅速，并且功率消耗和干扰容限都有约30 dB的性能提升.

Intelligent reflecting surface assisted anti-jamming approach for wireless communications

Due to the openness of wireless channels, wireless communications are increasingly vulnerable to malicious jamming attacks. In order to improve the wireless communication anti-jamming performance, this paper proposes an intelligent reflecting surface (IRS) based anti-jamming communication method. For the proposed system, nonlinear, multivariate coupled power minimization resource allocation model is formulated to achieve the bi-directional improvement of spectrum and energy performance, while meeting the user’s received signal-to-noise ratio constraint and continuous phase shift constraint. Alternative optimization and semi-positive definite relaxation are used to solve the non-convex optimization problem to obtain the optimal transmit beam and IRS phase shift. In addition, considering the high computational complexity, we further propose an optimal and low-complexity algorithm to obtain the closed-form solution for optimal transmit beamforming. Also, for practicality and fast responsiveness, a practical and fast-response anti-interference algorithm is proposed to cope with time-varying high dynamic jamming attacks. Finally, as compared to the benchmark schemes, the simulation results show that the proposed algorithm converges faster, and has about 30 dB anti-jamming performance improvement in terms of the power consumption and the jamming margin.