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Found 14 papers, 2 papers with code
Outage Probability Analysis for OTFS with Finite Blocklength
Orthogonal time frequency space (OTFS) modulation is widely acknowledged as a prospective waveform for future wireless communication networks. To provide insights for the practical system design, this paper analyzes the outage probability of OTFS modulation with finite blocklength. To begin with, we present the system model and formulate the analysis of outage probability for OTFS with finite blocklength as an equivalent problem of calculating the outage probability with finite blocklength over parallel additive white Gaussian noise (AWGN) channels. Subsequently, we apply the equivalent noise approach to derive a lower bound on the outage probability of OTFS with finite blocklength under both average power allocation and water-filling power allocation strategies, respectively. Finally, the lower bounds of the outage probability are determined using the Monte-Carlo method for the two power allocation strategies. The impact of the number of resolvable paths and coding rates on the outage probability is analyzed, and the simulation results are compared with the theoretical lower bounds.
Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression
However, the complex channel conditions in high-speed mobile scenarios significantly impact the reliability and efficiency of traditional communication systems.
RIS-Aided Integrated Sensing and Communication Waveform Design With Tunable PAPR
Low peak-to-average power ratio (PAPR) transmission is an important and favorable requirement prevalent in radar and communication systems, especially in transmission links integrated with high power amplifiers.
Improved AFSA-Based Beam Training Without CSI for RIS-Assisted ISAC Systems
In this paper, we consider transmit beamforming and reflection patterns design in reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) systems, where the dual-function base station (DFBS) lacks channel state information (CSI).
SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model
This approach leverages compact diffusion models to improve the fidelity and semantic accuracy of the images reconstructed after transmission, ensuring that the essential content is preserved even in bandwidth-constrained environments.
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed.
SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
Most current Deep Learning-based Semantic Communication (DeepSC) systems are designed and trained exclusively for particular single-channel conditions, which restricts their adaptability and overall bandwidth utilization.
IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization
This paper focuses on an intelligent reflecting surface (IRS)-assisted lossy communication system with correlated Rayleigh fading.
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
In this paper, we address the problem of image semantic communication in a multi-user deployment scenario and propose a federated learning (FL) strategy for a Swin Transformer-based semantic communication system (FSSC).
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
To address this issue, we introduce a novel Generative AI Semantic Communication (GSC) system for single-user scenarios.
ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy.
SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
This letter proposes a novel anti-interference technique, semantic interference cancellation (SemantIC), for enhancing information quality towards the sixth-generation (6G) wireless networks.
Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications
This letter proposes a novel relaying framework, semantic-forward (SF), for cooperative communications towards the sixth-generation (6G) wireless networks.
Robust Secrecy via Aerial Reflection and Jamming: Joint Optimization of Deployment and Transmission
The security gain with aerial reflection and jamming is further improved with the optimized deployment of the aerial platform.
