research
∙
07/08/2023
Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots
High-quality datasets can speed up breakthroughs and reveal potential de...
share
research
∙
05/10/2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...
research
∙
04/08/2023
Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons
Integrating Global Navigation Satellite Systems (GNSS) in Simultaneous L...
research
∙
09/03/2022
Homogenization of discrete diffusion models by asymptotic expansion
Diffusion behaviors of heterogeneous materials are of paramount importan...
research
∙
06/01/2022
Model Generation with Provable Coverability for Offline Reinforcement Learning
Model-based offline optimization with dynamics-aware policy provides a n...
research
∙
08/02/2021
Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications
This paper investigates terahertz ultra-massive (UM)-MIMO-based angle es...
research
∙
03/02/2021
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
The emerging space-air-ground integrated network has attracted intensive...
research
∙
02/13/2021
Performance Analysis and Improvement on DSRC Application for V2V Communication
In this paper, we focus on the performance of vehicle-to-vehicle (V2V) c...
research
∙
02/13/2021
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning
Carrier sensing multiple access/collision avoidance (CSMA/CA) is the bac...
research
∙
01/25/2021
Resource Allocation for Vehicle Platooning in 5G NR-V2X via Deep Reinforcement Learning
Vehicle platooning, one of the advanced services supported by 5G NR-V2X,...
research
∙
10/27/2020
Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission
In this paper, we propose a novel encrypted data transmission scheme usi...
research
∙
09/04/2020
Randomized Graph Cluster Randomization
The global average treatment effect (GATE) is a primary quantity of inte...
research
∙
08/03/2020
Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach
5G networks provide more bandwidth and more complex control to enhance u...
research
∙
07/01/2020
A simple bipartite graph projection model for clustering in networks
Graph datasets are frequently constructed by a projection of a bipartite...
research
∙
03/05/2019
Closed-Loop Sparse Channel Estimation for Wideband MmWave FD-MIMO Systems
This paper proposes a closed-loop sparse channel estimation (CE) scheme ...
research
∙
04/12/2017