arXiv (All)
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Quantized Transformers for Massive MIMO Precoding with Automatic Resolution Tuning
Deep learning precoders, particularly those based on Transformer architectures, offer superior spectral efficiency for Massive MIMO systems but may incur high computational cost. While existing mixed-precision quantization studies on convolutional neural networks establish important energy baselines
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