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Found 20 papers, 2 papers with code
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
In this paper, we study the multi-agent collaborative inference scenario, where a single edge server coordinates the inference of multiple UEs.
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
To tackle this challenge, we propose a framework termed collaborative data-free knowledge distillation via multi-level feature sharing (CDFKD-MFS), which consists of a multi-header student module, an asymmetric adversarial data-free KD module, and an attention-based aggregation module.
Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds
Object detection in point cloud data is one of the key components in computer vision systems, especially for autonomous driving applications.
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation
This paper addresses the importance of full-image supervision for monocular depth estimation.
Hybrid Beamforming for Terahertz Multi-Carrier Systems over Frequency Selective Fading
We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.
When Full-Duplex Transmission Meets Intelligent Reflecting Surface: Opportunities and Challenges
Full-duplex (FD) transmission has already been regarded and developed as a promising method to improve the utilization efficiency of the limited spectrum resource, as transmitting and receiving are allowed to simultaneously occur on the same frequency band.
On the Secrecy of UAV Systems With Linear Trajectory
By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e. g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV ($S$) flies in a straight line and transmits its information over the downlink to a legitimate receiver ($D$) on the ground while an eavesdropping UAV ($E$) trying to overhear the information delivery between $S$ and $D$.
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction
However, the research on MSI aided intelligent communications has not yet explored how to integrate and fuse the multimodal sensory data, which motivates us to develop a systematic framework for wireless communications based on deep multimodal learning (DML).
Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions
With the depletion of spectrum, wireless communication systems turn to exploit large antenna arrays to achieve the degree of freedom in space domain, such as millimeter wave massive multi-input multioutput (MIMO), reconfigurable intelligent surface assisted communications and cell-free massive MIMO.
Information Theory Signal Processing Information Theory
Eavesdropping Risk Evaluation on Terahertz Wireless Channels in Atmospheric Turbulence
Wireless networks operating at terahertz (THz) frequencies have been proposed as a promising candidate to support the ever-increasing capacity demand, which cannot be satisfied with existing radio-frequency (RF) technology.
Passive Beamforming Design for Intelligent Reflecting Surface Assisted MIMO Systems
Firstly, we decouple the optimization problem and design the active beamforming for a given IRS configuration.
Wideband Channel Estimation for IRS-Aided Systems in the Face of Beam Squint
Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts.
Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress.
Joint Hybrid and Passive RIS-Assisted Beamforming for MmWave MIMO Systems Relying on Dynamically Configured Subarrays
Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array's rate.
Random Access with Massive MIMO-OTFS in LEO Satellite Communications
Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-CF) is developed for the channel estimation.
Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis
By combining the PCP and MRWP model, the distributions of distances from a typical terminal to the BSs in different tiers are derived.
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices
Our objective is to achieve fast and energy-efficient collaborative inference while maintaining comparable accuracy compared with large ViTs.
Multiple Satellites Collaboration for Joint Code-aided CFOs and CPOs Estimation
Low Earth Orbit (LEO) satellites are being extensively researched in the development of secure Internet of Remote Things (IoRT).
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach
To address these challenges, we study packet routing with ground stations and satellites working jointly to transmit packets, while prioritizing fast communication and meeting energy efficiency and packet loss requirements.
