38 citations · 166 across the 30 of their papers we have counts for
14 papers · 1 filter
First experimental evaluation of ambient backscatter communications with massive MIMO reader
Romain Fara, Nada Bel-Haj-Maati, Dinh-Thuy Phan-Huy +2
Ambient backscatter communications have been introduced as low-power communications for green networking. This technology is very promising as it recycles ambient radio frequency w…
Robust Ambient Backscatter Communications with Polarization Reconfigurable Tags
Romain Fara, Dinh-Thuy Phan-Huy, Abdelwaheb Ourir +2
Ambient backscatter communication system is an emerging and promising low-energy technology for Internet of Things. In such system, a device named tag, sends a binary message to a…
Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks
Xiaonan Liu, Yansha Deng, Chong Han +1
The quality of experience (QoE) requirements of wireless Virtual Reality (VR) can only be satisfied with high data rate, high reliability, and low VR interaction latency. This high…
Intelligent Spectrum Learning for Wireless Networks with Reconfigurable Intelligent Surfaces
Bo Yang, Xuelin Cao, Chongwen Huang +3
Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, which is capable of reflecting the desired sign…
Uplink Achievable Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems with Resolution-Adaptive ADCs
Yue Xiu, Jun Zhao, Ertugrul Basar +4
In this letter, we investigate the uplink of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multi-user system. In the considered system, however, problem…
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning
Jingzhi Hu, Hongliang Zhang, Kaigui Bian +3
Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the accuracy of RF sensi…