In order to solve the problem that the existing backbone transmission network structure is difficult to meet the emerging business needs of large capacity and multi-service carrying. A scheme for upgrading OSU nodes has been proposed. In simulation experiments, it was found that the OSU node upgrade scheme mentioned in the article can decrease blocking probability and improve bandwidth utilization compared to the benchmark algorithm.
KEYWORDS: Reflection, Matrices, Antennas, Principal component analysis, Design and modelling, Telecommunications, Covariance matrices, Chemical elements, Signal to noise ratio, Infrared imaging
In this paper, a staged channel estimation and reflection coefficient design method is proposed for the Intelligent Reflecting Surface (IRS) aided multiple-input and multiple-output (MIMO) systems. To achieve the channel state information (CSI) estimation between the IRS and the base staion (BS), the IRS and the user, the user and the BS, a principle component analysis (PCA) based scheme is proposed. Based on the estimated channel, a DNN network is proposed to realize low-complexity IRS reflection coefficient estimation, which effectively improves the signal-to-noise ratio (SNR) at the user side. Simulation results for IRS-aided MIMO systems are provided to verify the accuracy of the proposed schemes on the channel estimation.
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