融合蚁群算法MMSE准则在MMW 混合波束形成中的应用

波束形成预编码技术是毫米波通信的核心技术,其中模拟和数字混合波束形成技术可以很好地平衡 模拟预编码技术和数字预编码技术的优缺点,既可以得到足够的波束形成增益、减少传播损耗,又降低了硬件成本 和功耗。均方误差(MSE)是表征毫米波通信传输可靠性的性能指标,利用最小均方误差(MMSE)准则的混合预编码 设计可以在毫米波大规模多输入多输出(MIMO)系统中获得较好的频谱效率。将MMSE 与广泛应用于解决旅行商 问题的蚁群算法相融合,以进一步优化基于流形优化的混合预编码算法。仿真结果表明,融合后的优化算法具有更 低的误码率和更好的频谱效率。

Application of MMSE Criterion Fusion Ant Colony Algorithm in Millimeter Wave Hybrid Beamforming

Beamforming precoding technology is the core technology of millimeter wave communication. The advantages and disadvantages of analog precoding technology and digital precoding technology could be well balanced by analog and digital hybrid beamforming technology. The hybrid beamforming technology not only obtains sufficient beamforming gain and reduces propagation loss, but also reduces hardware cost and power consumption. Mean square error (MSE) is a performance index to characterize the transmission reliability of millimeter wave communication. In millimeter wave large-scale multiple input multiple output (MIMO) systems, the better spectral efficiency could be obtained by the hybrid precoding design with the minimum mean square error (MMSE) criterion. MMSE is fused with the ant colony algorithm widely used to solve the traveling salesman problem to further optimize the hybrid precoding algorithm based on manifold optimization. Simulation results show that the optimized algorithm after fusion has lower bit error rate and better spectral efficiency.