Report
Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications
| العنوان: | Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications |
|---|---|
| المؤلفون: | di Renna, R. B., de Lamare, R. C. |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | 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. Comment: 7 pages, 7 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1912.06852 |
| رقم الانضمام: | edsarx.1912.06852 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |