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Found 9 papers, 0 papers with code
STAR-RIS Aided Integrated Sensing and Communication over High Mobility Scenario
With the help of sensing results, the phase shifts of the STAR-RIS are delicately designed, which can significantly improve the received signal strength for both the RSUs and the in-vehicle UE, and can finally enhance the sensing and communication performance.
From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain
The recently proposed Orthogonal Time Frequency Space (OTFS) modulation, which exploits various advantages of Delay Doppler (DD) channels, has been shown to support reliable communication in high-mobility scenarios.
Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective
The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain.
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Specifically, we commence with a comprehensive introduction of RIS pricing with its potential applications in RIS networks, meanwhile the fundamentals of pricing models are summarized in order to benefit both RIS holders and WSPs.
Joint Channel Estimation and Data Detection for Hybrid RIS aided Millimeter Wave OTFS Systems
For the OTFS transmission, we propose a JCEDD scheme over delay-Doppler domain.
Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles
The dual-function radar communication (DFRC) is an essential technology in Internet of Vehicles (IoV).
Massively Distributed Antenna Systems with Non-Ideal Optical Fiber Front-hauls: A Promising Technology for 6G Wireless Communication Systems
Employing massively distributed antennas brings radio access points (RAPs) closer to users, thus enables aggressive spectrum reuse that can bridge gaps between the scarce spectrum resource and extremely high connection densities in future wireless systems.
Max-Min Optimal Beamforming for Cell-Free Massive MIMO
This letter develops an optimum beamforming method for downlink transmissions in cell-free massive multiple-input multiple-output (MIMO) systems, which employ a massive number of distributed access points to provide concurrent services to multiple users.
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
Experimental results show that the HMMs trained with the continuous characterization of mobility features can give a higher prediction accuracy when they are used for predicting driving intentions.
