Joint Active and Passive Beamforming for IRS-Assisted Monostatic Backscatter Systems: An Unsupervised Learning Approach

Joint Active and Passive Beamforming for IRS-Assisted Monostatic Backscatter Systems: An Unsupervised Learning Approach

Backscatter Communication (BackCom) has been envisioned as a key enabler for ubiquitous connectivity in the Internet of Things (IoT). However, the inherent issues of limited range and low achievable bit rate are prominent barriers to the widespread deployment of BackCom. In this work, we address the...

Full description

Saved in:
Bibliographic Details
Main Authors: Sahar Idrees, Salman Durrani, Zhiwei Xu, Xiaolun Jia, Xiangyun Zhou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Backscatter communication
intelligent reflecting surface
signal-to-noise ratio
multiple antennas
Internet of Things (IoT)
deep learning
Online Access:https://ieeexplore.ieee.org/document/10401960/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10401960/

Similar Items