基于智能反射面的无线抗干扰通信方法

Intelligent reflecting surface assisted anti-jamming approach for wireless communications

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.

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.