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Found 12 papers, 2 papers with code
Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
The purpose of this paper is to provide a comprehensive overview of existing works and new trends in the field of positioning techniques from both the academic and industrial perspectives.
A Survey on Indoor Visible Light Positioning Systems: Fundamentals, Applications, and Challenges
This paper provides a comprehensive survey of VLP systems.
Ultrasonic Backscatter Communication for Implantable Medical Devices
The tag backscatters the pulses based on the piezoelectric effect of a piezo transducer.
Quantum Discrimination of Two Noisy Displaced Number States
The quantum discrimination of two non-coherent states draws much attention recently.
Quantum Physics Signal Processing
Physical Layer Security Over Mixture Gamma Distributed Fading Channels With Discrete Inputs: A Unified and General Analytical Framework
Physical layer security is investigated over mixture Gamma (MG) distributed fading channels with discrete inputs.
Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices
Moreover, compared with existing pure deep learning-based sparse reconstruction methods, the proposed hybrid data-driven scheme, which uses the novel data-driven measurement matrices with conventional sparse reconstruction algorithms, can achieve higher reconstruction accuracy.
Free-Space Optical Communication Using Non-mode-Selective Photonic Lantern Based Coherent Receiver
A free-space optical communication system using non-mode-selective photonic lantern (PL) based coherent receiver is studied.
Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets
For strongly convex loss functions, FRPG and LFRPG have provably faster convergence rates than a benchmark robust stochastic aggregation algorithm.
Analytical Channel Model and Link Design Optimization for Ground-to-HAP Free-Space Optical Communication Networks
Furthermore, closed-form expressions for the outage probability of the considered link under different turbulence regimes are derived.
Secure Distributed On-Device Learning Networks With Byzantine Adversaries
The worst-case malfunctioning terminals are the Byzantine adversaries, that can perform arbitrary harmful operations to compromise the learned model based on the full knowledge of the networks.
Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches
The model-based power allocation algorithm has been investigated for decades, but it requires the mathematical models to be analytically tractable and it usually has high computational complexity.
Information Theory Information Theory
Data-Rate Driven Transmission Strategy for Deep Learning Based Communication Systems
The GDR scheme can achieve higher data rate than the conventional one-hot vector scheme with comparable BLER performance.
Information Theory Information Theory
