Adaptive Activity-Aware Constellation List-Based Decision Feedback Detection for Massive Machine-Type Communications

In this work, we propose an adaptive list-based decision feedback detector along with an l0-norm regularized recursive least-squares algorithm that only requires pilot symbols (AA-CL-DF). The proposed detector employs a list strategy based on the signal constellation points to generate different candidates for detection. Simulation results show that the proposed AA-CL-DF successfully mitigates the error propagation and approaches the performance for the oracle LMMSE algorithm.

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