Derives EPI-based and discrete-input lower bounds plus Gaussian-entropy upper bound on capacity of AWGN channel with subtractive dithered quantization, showing K-point discrete inputs near-optimal for K-level quantizers.
On the discreteness of capacity- achieving distributions for fading and signal-dependent noise channels with amplitude-limited inputs,
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Channel Capacity under the Subtractive Dithered Quantization Model
Derives EPI-based and discrete-input lower bounds plus Gaussian-entropy upper bound on capacity of AWGN channel with subtractive dithered quantization, showing K-point discrete inputs near-optimal for K-level quantizers.