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Found 19 papers, 0 papers with code
Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing and Communications for 6G Closed-Loop Controls
Specifically, the linear quadratic regulator (LQR) control cost is used to measure the closed-loop utility, and a sum LQR cost minimization problem is formulated to jointly optimize the splitting of sensor data and allocation of communication and computing resources.
Joint Channel Estimation and Data Recovery for Millimeter Massive MIMO: Using Pilot to Capture Principal Components
In Stage 1, differing from the traditional PF-based methods, the proposed PF-assisted method is utilized to capture the angle of arrival (AoA) of principal components (PC) of channels.
Self-supervised Adaptive Weighting for Cooperative Perception in V2V Communications
The performance of cooperative perception is investigated in different system settings.
Knowledge Distillation Based Semantic Communications For Multiple Users
In this paper, we consider the semantic communication (SemCom) system with multiple users, where there is a limited number of training samples and unexpected interference.
Cooperative Perception with Learning-Based V2V communications
A new late fusion scheme is proposed to leverage the robustness of intermediate features.
Control-Oriented Deep Space Communications For Unmanned Space Exploration
In this paper, we propose a communication optimization scheme for a specific cooperation system named the "mother-daughter system".
On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds
A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc.
On Secure Uplink Transmission in Hybrid RF-FSO Cooperative Satellite-Aerial-Terrestrial Networks
Considering the randomness of R, D, and Eves, and employing a stochastic geometry framework, the secrecy outage performance of the cooperative uplink transmission in the considered SATN is investigated and a closed-form analytical expression for the end-to-end secrecy outage probability is derived.
Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking
The sixth-generation (6G) network will shift its focus to supporting everything including various machine-type devices (MTDs) in an everyone-centric manner.
Cramér-Rao Bounds of Near-Field Positioning Based on Electromagnetic Propagation Model
In this paper, we improve the near-field positioning technology from the classical spherical wavefront model (SWM) to the more accurate and true electromagnetic propagation model (EPM).
Effect of Strong Time-Varying Transmission Distance on LEO Satellite-Terrestrial Deliveries
In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system.
Joint Communication and Sensing: Models and Potential of Using MIMO
In this survey, we discuss joint communication and sensing (JCAS) in the context of MIMO.
Hierarchical-Absolute Reciprocity Calibration for Millimeter-wave Hybrid Beamforming Systems
The results reveal that the estimation errors of mismatch coefficients of digital and analog chains are uncorrelated, and that the mismatch coefficients of receive digital chains can be estimated perfectly.
Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things
In fifth generation (5G) and beyond Internet of Things (IoT), it becomes increasingly important to serve a massive number of IoT devices outside the coverage of terrestrial cellular networks.
Enabling 5G on the Ocean: A Hybrid Satellite-UAV-Terrestrial Network Solution
In this paper, we study the integration of UAVs with existing MCNs, and investigate the potential gains of hybrid satellite-UAV-terrestrial networks for maritime coverage.
Robust Federated Learning with Noisy Communication
Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.
Accelerating Federated Learning via Momentum Gradient Descent
The proposed momentum federated learning (MFL) uses momentum gradient descent (MGD) in the local update step of FL system.
Conversational Recommendation System with Unsupervised Learning
We will explore and demonstrate the effectiveness of the learning solution even when there is no hand written rules or hand labeled training data.
Analysis of Spectrum Occupancy Using Machine Learning Algorithms
In this paper, we analyze the spectrum occupancy using different machine learning techniques.
