Deep Conditional Generative Adversarial Networks for Efficient Channel Estimation in AmBC Systems

In ambient backscatter communication (AmBC), battery-free devices (tags) harvest energy from ambient radio frequency (RF) signals and communicate with readers. Although reliable channel estimation (CE) is critical, classical pilot-based estimators tend to perform poorly. To address this challenge, w...

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Xehetasun bibliografikoak

Egile Nagusiak:	Shayan Zargari, Chintha Tellambura, Amine Maaref, Geoffrey Ye Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2024-01-01
Saila:	IEEE Transactions on Machine Learning in Communications and Networking
Gaiak:	Ambient backscatter communication Internet of Things channel estimation conditional generative adversarial network deep residual learning deep learning
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10555303/
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