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Found 12 papers, 1 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.
Learning-based sensing and computing decision for data freshness in edge computing-enabled networks
In this paper, we propose the sensing and computing decision (SCD) algorithms for data freshness in the EC-enabled wireless sensor networks.
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction
To overcome these challenges, we propose a new post-training quantization method, which is the first to quantize efficient hybrid ViTs (MobileViTv1, MobileViTv2, Mobile-Former, EfficientFormerV1, EfficientFormerV2) with a significant margin (an average improvement of 8. 32\% for 8-bit and 26. 02\% for 6-bit) compared to existing PTQ methods (EasyQuant, FQ-ViT, and PTQ4ViT).
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution
We propose CPrune, a compiler-informed model pruning for efficient target-aware DNN execution to support an application with a required target accuracy.
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
To adopt convolutional neural networks (CNN) for a range of resource-constrained targets, it is necessary to compress the CNN models by performing quantization, whereby precision representation is converted to a lower bit representation.
Energy-efficient Cooperative Offloading for Edge Computing-enabled Vehicular Networks
Edge computing technology has great potential to improve various computation-intensive applications in vehicular networks by providing sufficient computation resources for vehicles.
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data
Recently, multi-agent reinforcement learning (MARL) adopts the centralized training with decentralized execution (CTDE) framework that trains agents using the data from all agents at a centralized server while each agent takes an action from its observation.
Precoding Design for Multi-user MIMO Systems with Delay-Constrained and -Tolerant Users
We consider an optimization problem that maximizes the sum spectral efficiency of delay-tolerant users while satisfying the latency constraint of delay-constrained users, and propose a generalized power iteration (GPI) precoding algorithm that finds a principal precoding vector.
Non-Terrestrial Networks for UAVs: Base Station Service Provisioning Schemes with Antenna Tilt
By considering the antenna tilt angle-based channel gain, we derive the network outage probability for both IS-BS and ES-BS schemes, and show the existence of the optimal tilt angle that minimizes the network outage probability after analyzing the conflict impact of the antenna tilt angle.
Securing Communications with Friendly Unmanned Aerial Vehicle Jammers
In this paper, we analyze the impact of a friendly unmanned aerial vehicle (UAV) jammer on UAV communications in the presence of multiple eavesdroppers.
Ensuring Data Freshness for Blockchain-enabled Monitoring Networks
The age of information (AoI) is a recently proposed metric for quantifying data freshness in real-time status monitoring systems where timeliness is of importance.
Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Monitoring Networks
In this paper, we explore the data freshness in the Hyperledger Fabric Blockchain-enabled monitoring network (HeMN) by leveraging the AoI metric.
