Context

AetherWave is deploying a 4x4 MIMO wireless link for fixed wireless access. The receiver uses a learned channel estimator to predict the channel matrix from pilot symbols, and the downstream detector relies on that estimate for equalization. Field tests show that small estimation errors are causing a noticeable drop in link quality, especially at lower SNR and higher user mobility.

Current Performance

The Problem

The communications team believes channel estimation error is the main driver of degraded MIMO performance, but they need a rigorous evaluation of how strongly the estimator quality explains BER, throughput loss, and outage under real deployment conditions.

Task

1. Interpret the relationship between channel estimation error and end-to-end system performance.
2. Identify which metrics suggest the model is failing due to noise, mobility, calibration mismatch, or thresholding decisions.
3. Propose a structured error analysis plan across SNR, Doppler, and antenna correlation segments.
4. Recommend model and system changes to improve robustness.
5. Explain the tradeoff between reducing estimation error and preserving latency/pilot overhead.

Constraints

• Pilot overhead cannot exceed 12% of frame length.
• Inference latency must stay below 2 ms per frame.
• A 1-point BER increase above 3% triggers SLA penalties.
• Hardware changes are not allowed in the next release.