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Found 5 papers, 0 papers with code
Optimizing Energy-Harvesting Hybrid VLC/RF Networks with Random Receiver Orientation
The optimization is solved through an exhaustive search, and the results show that a higher data rate can be achieved by solving the joint problem of DC bias and time duration compared to solely optimizing the DC bias.
Comparative Analysis of Radar Cross Section Based UAV Classification Techniques
The study concludes that while the SL algorithms achieved good classification accuracy, the computational time was relatively long when compared to the ML and DL algorithms.
Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones.
Radar Cross Section Based Statistical Recognition of UAVs at Microwave Frequencies
This paper presents a radar cross-section (RCS)-based statistical recognition system for identifying/ classifying unmanned aerial vehicles (UAVs) at microwave frequencies.
Base Station and Passive Reflectors Placement for Urban mmWave Networks
Our simulation results show that considering the first-order reflections in planning the mmWave network helps reduce the number of PMRs required to cover the NLoS area and the gNB placement aided with PMRs requires fewer gNBs to cover the same area, which in turn reduces the deployment cost.
