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Found 8 papers, 0 papers with code
Coded Backscattering Communication with LTE Pilots as Ambient Signal
In this paper, we propose the adoption of the same convolutional coding methodology for backscatter links that is already employed for LTE downlink control signals.
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs
Effective solutions for intelligent data collection in terrestrial cellular networks are crucial, especially in the context of Internet of Things applications.
Ambient FSK Backscatter Communications using LTE Cell Specific Reference Signals
Long Term Evolution (LTE) signal is ubiquitously present in electromagnetic (EM) background environment, which make it an attractive signal source for the ambient backscatter communications (AmBC).
Ambient backscatter communications using LTE cell specific reference signals
Long Term Evolution (LTE) systems provide ubiquitous coverage for mobile communications, which makes it a promising candidate to be used as a signal source in the ambient backscatter communications.
Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections
The in-depth analysis of secrecy-energy trade-off has also been performed and a comparison has been provided for imperfect and perfect channel estimation cases.
Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications
This article aims to further push the state-of-the-art of cellular V2X communications by providing an optimization framework for wireless charging, power allocation, and resource block assignment.
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications
While transportation authorities may try to balance the network mining load, the vehicles may select the nearest mining clusters to offload a task.
Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Here, we first present the major challenges in co-existence of terrestrial and drone communications by considering real geographical network data for Stockholm.
