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A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
We show that using artificial neural networks to predict the required order of an ordered statistics based decoder helps in reducing the average complexity and hence the latency of the decoder.
A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints
In this paper, we introduce a multi-objective optimization framework for the optimal design of URLLC in the presence of decoding complexity constraints.
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