Search Results for author:
Found 27 papers, 3 papers with code
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge
To scale learning across geographic areas, a spatial transfer learning scheme is proposed to further promote the learning efficiency of distributed DRL entities by exploiting the traffic demand correlations.
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing
In this paper, the beneficial role of IRSs is investigated in MEC systems, where single-antenna devices may opt for off-loading a fraction of their computational tasks to the edge computing node via a multi-antenna access point with the aid of an IRS.
Cellular-Connected Wireless Virtual Reality: Requirements, Challenges, and Solutions
Cellular-connected wireless connectivity provides new opportunities for virtual reality(VR) to offer seamless user experience from anywhere at anytime.
Analyzing Grant-Free Access for URLLC Service
Based on this framework, we define the latent access failure probability to characterize URLLC reliability and latency performances.
Learning-based Prediction, Rendering and Association Optimization for MEC-enabled Wireless Virtual Reality (VR) Network
Wireless-connected Virtual Reality (VR) provides immersive experience for VR users from any-where at anytime.
Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels
In this paper, large-scale intelligent reflecting sur-face (IRS)-assisted multiple-input single-output (MISO) system is considered in the presence of channel uncertainty.
Analysis of Random Access in NB-IoT Networks with Three Coverage Enhancement Groups: A Stochastic Geometry Approach
NarrowBand-Internet of Things (NB-IoT) is a new 3GPP radio access technology designed to provide better coverage for Low Power Wide Area (LPWA) networks.
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach
Our proposed learning architectures is effective and scalable for a high-dimensional cooperative association problem with increasing APs and VR users.
A Vision of XR-aided Teleoperation System Towards 5G/B5G
Extended Reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, rich-information and complex scenarios.
RACH in Self-Powered NB-IoT Networks: Energy Availability and Performance Evaluation
In this work, we analyze RACH success probability in a self-powered NB-IoT network taking into account the repeated preamble transmissions and collisions, where each IoT device with data is active when its battery energy is sufficient to support the transmission.
Learning-based Prediction and Uplink Retransmission for Wireless Virtual Reality (VR) Network
While for the online learning algorithm, based on the VR user's actual viewpoint delivered through uplink transmission, we compare it with the predicted viewpoint and update the parameters of the online learning algorithm to further improve the prediction accuracy.
Learning based signal detection for MIMO systems with unknown noise statistics
Existing detection methods have mainly focused on specific noise models, which are not robust enough with unknown noise statistics.
Real-time Video Streaming and Control of Cellular-Connected UAV System: Prototype and Performance Evaluation
Unmanned aerial vehicles (UAVs) play an increasingly important role in military, public, and civilian applications, where providing connectivity to UAVs is crucial for its real-time control, video streaming, and data collection.
Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission
Motivated by this, 3GPP has proposed 4/2-step SDT RA schemes based on the existing grant-based (4-step) and grant-free (2-step) RA schemes, with the aim to enable data transmission during RA procedures in Radio Resource Control (RRC) Inactive state.
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning
In this paper, we co-design the video resolution, the movement, and the power control of UAV-BS and UAV-UEs to maximize the Quality of Experience (QoE) of real-time video streaming.
Machine Learning for Massive Industrial Internet of Things
With the deployment of massive IIoT devices, it is difficult for the wireless network to support the ubiquitous connections with diverse quality-of-service (QoS) requirements.
Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks
This high data rate over short transmission distances may be achieved via abundant bandwidth in the terahertz (THz) band.
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks
This introduces the scalability challenges, while multi-agent reinforcement shows the opportunity to cope this challenges and extend the intelligent algorithm to cooperative large-scale network.
Optimization of Grant-Free NOMA with Multiple Configured-Grants for mURLLC
To support these requirements, the third generation partnership project (3GPP) has introduced enhanced grant-free (GF) transmission in the uplink (UL), with multiple active configured-grants (CGs) for URLLC UEs.
Time-triggered Federated Learning over Wireless Networks
The newly emerging federated learning (FL) framework offers a new way to train machine learning models in a privacy-preserving manner.
Goal-Oriented Semantic Communications for 6G Networks
In this article, we propose a generic goal-oriented semantic communication framework for various tasks with diverse data types, which incorporates both semantic level information and effectiveness-aware performance metrics.
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Unlike other tutorial papers, our objective is to explore how FL, meta learning, and FedMeta methodologies can be designed, optimized, and evolved, and their applications over wireless networks.
Energy-Efficient Cellular-Connected UAV Swarm Control Optimization
To maximize the number of UAVs that receive the message successfully within the latency and energy constraints, we formulate the problem as a Constrained Markov Decision Process to find the optimal policy.
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
To overcome those limitations and improve the detection accuracy at night, we propose an object detector called Ghost Auto Anchor Network (GAANet) for infrared (IR) images.
Adaptive Federated Pruning in Hierarchical Wireless Networks
We present the convergence analysis of an upper on the l2 norm of gradients for HFL with model pruning, analyze the computation and communication latency of the proposed model pruning scheme, and formulate an optimization problem to maximize the convergence rate under a given latency threshold by jointly optimizing the pruning ratio and wireless resource allocation.
Task-Oriented Semantics-Aware Communication for Wireless UAV Control and Command Transmission
To guarantee the safety and smooth control of Unmanned Aerial Vehicle (UAV) operation, the new control and command (C&C) data type imposes stringent quality of service (QoS) requirements on the cellular network.
Federated Reinforcement Learning for Uplink Centric Broadband Communication Optimization over Unlicensed Spectrum
In this paper, we first develop a centralized double Deep Q-Network (DDQN) algorithm to optimize the uplink system throughput, where the agent is deployed at the central server to dynamically adjust the ED thresholds for NR-U and WiFi networks.
