RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning
Signal detection is one of the most critical and challenging issues in ambient backscatter communication (AmBC) systems. In this paper, a multi-antenna AmBC signal detection method is proposed based on reconfigurable intelligent surface (RIS) and deep reinforcement learning. Firstly, an efficient mu...
Main Authors: | Feng Jing, Hailin Zhang, Mei Gao, Bin Xue, Kunrui Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/16/6137 |
Similar Items
-
Recent Developments and State of the Art in Flexible and Conformal Reconfigurable Antennas
by: Bahare Mohamadzade, et al.
Published: (2020-08-01) -
DESIGN OF NEW COMPOUND RECONFIGURABLE MICROSTRIP ANTENNA FOR C AND KU BANDS APPLICATIONS
by: Mushreq Al-Tamimi, et al.
Published: (2023-03-01) -
Multi-antenna Tag Ambient Backscatter System Based on Clustering Analysis
by: Heng YUE, et al.
Published: (2021-11-01) -
Origami Antennas
by: Stavros V. Georgakopoulos, et al.
Published: (2021-01-01) -
A Review of Achieving Frequency Reconfiguration for Antennas in Wireless Communications
by: Hoang Thi Phuong Thao
Published: (2023-06-01)