Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications
Information Theory
2019-12-17 v1 Signal Processing
math.IT
Abstract
In this work, we propose an adaptive list-based decision feedback detector along with an -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.
Cite
@article{arxiv.1912.06852,
title = {Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications},
author = {R. B. di Renna and R. C. de Lamare},
journal= {arXiv preprint arXiv:1912.06852},
year = {2019}
}
Comments
7 pages, 7 figures