To optimize 5G-Advanced MIMO systems, engineers are implementing AI-powered Channel State Information (CSI) compression to reduce feedback overhead while maintaining high spectral efficiency. This transition to neural-network-based feedback requires rigorous verification to ensure signal integrity and model robustness. Keysight software proves essential by providing advanced simulation environments that generate synthetic channel datasets for training and validating these AI models. By enabling high-fidelity link-level emulation, the software helps developers fine-tune compression performance under diverse deployment scenarios. This systematic validation allows architects to maximize throughput, minimize latency, and confidently deploy AI-optimized feedback mechanisms that significantly en

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