基于改进智能水滴的正交匹配追踪混合预编码算法

针对毫米波大规模多输入多输出(mmWave Massive MIMO)系统硬件成本高、系统开销大等问题,提出一种基于改进智能水滴的正交匹配追踪(IWD-OMP)混合预编码算法.首先,基于正交匹配追踪(OMP)算法求解预编码矩阵;其次,采用改进的智能水滴(IWD)算法求解矩阵中全局最优的索引向量;最后,通过此方法求解的矩...

Orthogonal matching pursuit hybrid precoding algorithm based on improved intelligent water drop

Focused on the problems of high hardware cost and high system overhead in the millimeter-Wave Massive Multi-Input Multi-Output (mmWave Massive MIMO) system, an Orthogonal Matching Pursuit based on improved Intelligent Water Drop (IWD-OMP) hybrid precoding algorithm was proposed. Firstly, based on Orthogonal Match Pursuit (OMP) algorithm, the precoding matrix was solved. Secondly, the improved Intelligent Water Drop (IWD) algorithm was adopted to calculate the global optimal index vector in the matrix. Finally, the matrix solved by this method did not need to construct the candidate matrix in advance, which was able to save the system resources and reduce the complexity of matrix calculation. Experimental results demonstrate that when the number of transmitting antennas is 128 and the signal-to-noise ratio is 28 dB, compared with the OMP algorithm, the proposed method has the system achievable sum rate performance improved by about 7.71%, when the signal-to-noise ratio is 8 dB, the proposed method has the bit error rate reduced by about 19.77%. In addition, the proposed precoding algorithm has strong robustness to the imperfect Channel State Information (CSI) in the real channel environment. When the signal-to-noise ratio value is 28 dB, the proposed method has the system achievable sum rate decreased by about 1.08% for imperfect CSI compared with that for perfect CSI.