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Found 6 papers, 0 papers with code
User-Centric Beam Selection and Precoding Design for Coordinated Multiple-Satellite Systems
This paper introduces a joint optimization framework for user-centric beam selection and linear precoding (LP) design in a coordinated multiple-satellite (CoMSat) system, employing a Digital-Fourier-Transform-based (DFT) beamforming (BF) technique.
Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can enhance the energy efficiency of deployments of artificial intelligence (AI) for specific workloads.
Satellite Swarms for Narrow Beamwidth Applications
Satellite swarms have recently gained attention in the space industry due to their ability to provide extremely narrow beamwidths at a lower cost than single satellite systems.
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
The latest satellite communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic.
Harnessing the Power of Swarm Satellite Networks with Wideband Distributed Beamforming
The space communications industry is challenged to develop a technology that can deliver broadband services to user terminals equipped with miniature antennas, such as handheld devices.
Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication
This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology.
