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Found 6 papers, 0 papers with code
HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers
To overcome this, {\it\HB} works with the discrete values of phase-shifting parameters and exploits their unimodal relations with channel gains to learn the optimal values faster.
UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Bandits
In this paper, we develop an algorithm that exploits the unimodal structure of the received signal strengths of the beams to identify the best beam in a finite time using pure exploration strategies.
Learning Optimal Phase-Shifts of Holographic Metasurface Transceivers
Holographic metasurface transceivers (HMT) is an emerging technology for enhancing the coverage and rate of wireless communication systems.
Parametric Channel Model Estimation for Large Intelligent Surface-Based Transceiver-assisted Communication System
A promising approach for enhancing the coverage and rate of wireless communication systems is the large intelligent surface-based transceiver (LISBT), which uses a spatially continuous surface for signal transmission and receiving.
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
We study wireless power transmission by an energy source to multiple energy harvesting nodes with the aim to maximize the energy efficiency.
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach
It is thus important to learn the least amount of energy harvested by nodes so that the source can transmit on a frequency band that maximizes this amount.
