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Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications (1912.06852v1)
Published 14 Dec 2019 in cs.IT, eess.SP, and math.IT
Abstract: In this work, we propose an adaptive list-based decision feedback detector along with an $l_0$-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.