yusuke1997/dblp-id-title huggingface dataset:
Integrated Sensing, Communication, and Computation in SAGIN: Joint Beamforming and Resource Allocation
Optimization of SINR and Illumination Uniformity in Multi-LED Multi-Datastream VLC Networks
Joint Buffer-Aided Hybrid-Duplex Relay Selection and Power Allocation for Secure Cognitive Networks With Double Deep Q-Network
Measuring Sparsity of Wireless Channels
IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer
Adaptive Compression Offloading and Resource Allocation for Edge Vision Computing
SINR-Adaptive and CBR-Controllable Semantic Cellular Communication Considering Imperfect CSI and Inter-Cell Co-Channel Interference
Hybrid-RIS-Assisted Cellular ISAC Networks for UAV-Enabled Low-Altitude Economy via Deep Reinforcement Learning With Mixture-of-Experts
SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio
Multi-Layer Computation Offloading in Distributed Heterogeneous Mobile Edge Computing Networks
Reconfigurable Intelligent Surface-Empowered Code Index Modulation for High-Rate SISO Systems
On the Stochastic Modeling of the Holding Time of SUs to PU Channels in Cognitive Radio Networks
Deep Learning Empowered MAC Protocol Identification With Squeeze-and-Excitation Networks
SmartCon: Deep Probabilistic Learning-Based Intelligent Link-Configuration in Narrowband-IoT Toward 5G and B5G
An Optimized Neural Network Framework for Designing Spectrally Compatible Radar Waveforms
Price Competition in Spectrum Markets: How Accurate is the Continuous Prices Approximation?
Semantic Image Encoding and Communication for Earth Observation With LEO Satellites
Performance Analysis and Deep Learning Assessment of Full-Duplex Overlay Cognitive Radio NOMA Networks Under Non-Ideal System Imperfections
Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning
Wideband Cyclostationary Signal Processing Using Sparse Subsets of Narrowband Subchannels
On Performance of a SWIPT Enabled FD CRN With HIs and Imperfect SIC Over α-μ Fading Channel
Robust and Practical 3-D RFI Nulling for 5G and Radio Astronomy Coexistence
Delay Optimization in Mobile Edge Computing: Cognitive UAV-Assisted eMBB and mMTC Services
Intelligent Autonomous User Discovery and Link Maintenance for mmWave and TeraHertz Devices With Directional Antennas
Energy Efficient Power Control for Cognitive Multibeam-Satellite Terrestrial Networks With Poisson Distributed Users
Service Degradation Considering Computing, Communication, and Storage With Resource-Time Dimension in Computing Power Network
Joint Extraction Ratio, Mode Selection, and Channel Allocation for Semantic-Based D2D Communications
Modeling and Optimization of Channel Allocation for PAL and GAA Users in the CBRS Band
Diffusion Model Empowered Efficient Data Distillation Method for Cloud-Edge Collaboration
RIS Assisted Multiple User Interference Mitigation via an Accelerated Coordinate Descent Method
Vision Image-Aided Near-Field Beam Training for Internet of Vehicles Communication Systems: From Daytime to Nighttime
A Joint Optimization Framework for Energy Harvesting Based Cooperative CR Networks
An End-to-End Deep Neural Network for Passive Positioning of Emitters and Receivers With Variable Numbers
A Reliable Channel Estimation Scheme Using Scattered Pilot Pattern for IEEE 802.22-Based Mobile Communication System
Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions
Green Virtualization for Multiple Collaborative Cellular Operators
HRL-TSCH: A Hierarchical Reinforcement Learning-Based TSCH Scheduler for IIoT
Energy-Efficient Power Control in Wireless Networks With Spatial Deep Neural Networks
On Residual Energy Maximization in DF Cognitive Radio Networks With Multiple Eavesdroppers
Implicit Neural Representations for Codebook Configuration in RIS-Aided Communication Systems
Disentangling Domain-Invariant Features From Few Samples for Automatic Modulation Classification
Adaptive Modulation for Wireless Federated Edge Learning
RIS-Assisted Hybrid Symbiotic Radio Network: From Practical End-to-End Model to Multi-Objective Optimization
A Zero-Shot Federated Unlearning Framework With Stability Verification
ELASTIC- Enabling Massive-Antenna for Joint Spectrum Sensing and Sharing: How Many Antennas Do We Need?
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems
Learning-Based Spectrum Sensing and Access in Cognitive Radios via Approximate POMDPs
On Understanding the Impact of RTT in the Mobile Network for Detecting the Rogue UAVs
AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Toward 6G Ubiquitous Intelligence
Real-Time 3-D MIMO Antenna Tuning With Deep Reinforcement Learning
Incentive-Driven Computation Task Allocation for Integrated Edge Computing and Energy Feeding
Real Field Error Correction for Coded Distributed Computing-Based Training
ChebNet-LSTM-Based Secure Transmission Method in Multi-Cloud Networks
Intelligent Spectrum Assignment Based on Dynamical Cooperation for 5G-Satellite Integrated Networks
Fully Convolutional Neural Network-Based CSI Limited Feedback for FDD Massive MIMO Systems
Bootstrapping Blind Equalizer for Dual-Polarization Coherent FSO Systems via Modulus-Rings-Based Variational Autoencoder
Power Control and Frequency Band Selection Policies for Underlay MIMO Cognitive Radio
Interference-Aided Energy Harvesting: Cognitive Relaying With Multiple Primary Transceivers
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Deep Reinforcement Learning-Based Edge Caching in Wireless Networks
Jointly Optimal RIS Placement and Power Allocation for Underlay D2D Communications: An Outage Probability Minimization Approach
Application of Unsupervised Learning in Implementation of Joint Power and Index Modulation Access in V2X Systems
Inference Over Wireless IoT Links With Importance-Filtered Updates
Predictive Beamforming for OTFS-Enabled URLLC in High-Mobility Vehicular Networks
Performance Analysis of a Novel Relay Selection Scheme for Wireless-Powered Cluster-Based Multi-Hop Cognitive Relay Networks
Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
Toward Edge General Intelligence With Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration
Effect of Intelligent Multi-Association in Civil Aircraft-Augmented SAGIN
Joint Cross Layer Radio Downlink Beamforming and RIS Configuration via Deep Reinforcement Learning in RIS-Aided MISO Video Communications
GEEK-Explainer: An Efficient Interpretation Method for Graph Neural Networks in SDN
Rate Splitting on Mobile Edge Computing for UAV-Aided IoT Systems
Graph-Based Machine Learning Estimation Methods for Backbone Optical Network Optimization
Grassmann Manifold-Based Spectrum Sensing for TV White Spaces
Interference Mitigation Via Cross-Tier Cooperation in Heterogeneous Cloud Radio Access Networks
A Transformer-Based Contrastive Semi-Supervised Learning Framework for Automatic Modulation Recognition
PCSP: A Novel Class Discovery Algorithm for Radio Signal Classification
Interference Management in MIMO-ISAC Systems: A Transceiver Design Approach
A Stochastic-Based Rate Control Approach for Video Streaming Over Cognitive Radio Networks
Spectral-Temporal Model for Opportunistic Spectrum Access in Cognitive Radio Networks
Deep Mobile Path Prediction With Shift-and-Join and Carry-Ahead
Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability
Reinforcement-Learning-Based Network Slicing and Resource Allocation for Multi-Access Edge Computing Networks
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels
Optimal Spectral Allocation in Citizens Broadband Radio Service
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning
Communication-Efficient Personalized Distributed Learning With Data and Node Heterogeneity
When Learning Meets Dynamics: Distributed User Connectivity Maximization in AAV-Based Communication Networks
A Novel Neural Network Approach to Proactive 3-D Beamforming
Mixed Data Augmentation Through the Integration of Mode Decomposition and Time-Series Transformation for Radio Signal Classification
Improving Liquidity in Secondary Spectrum Markets: Virtualizing Spectrum for Fungibility
Deep Recurrent Reinforcement Learning-Based Distributed Dynamic Spectrum Access in Multichannel Wireless Networks With Imperfect Feedback
Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks
CR-Honeynet: A Cognitive Radio Learning and Decoy-Based Sustenance Mechanism to Avoid Intelligent Jammer
BD-SAS: Enabling Dynamic Spectrum Sharing in Low-Trust Environment
Balancing Delay and Energy Efficiency in Energy Harvesting Cognitive Radio Networks: A Stochastic Stackelberg Game Approach
Correlation-Based Spectrum Sensing With Oversampling and Optimal Weights Selection for OFDM-Based Networks Coexistence in TVWS
Connectivity of Intelligent Reflecting Surface Assisted Network via Percolation Theory
Spectrum Reservation Contract Design in TV White Space Networks
Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks
Oblivious Rendezvous for Heterogeneous Cognitive Radio Networks Based on Partially Anonymous Channel Hopping
Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands
A Comprehensive Real-World Evaluation of 5G Improvements Over 4G in Low- and Mid-Bands
A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
Securing IRS-SWIPT Deployment in O-RAN
Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications
Active Reconfigurable Intelligent Surface-Based Symbiotic Radio: Boosting Mutual Benefits
Energy-Aware Scheduling for Multi-Hop Cognitive Radio Networks
An Emergent Self-Awareness Module for Physical Layer Security in Cognitive UAV Radios
Semi-Supervised Domain Adaptation for Automatic Modulation Recognition in Unseen Scenarios
Artificial Intelligence Communicates With Cognitive Dynamic System for Cybersecurity
QoS-Aware Multi-AIGC Service Orchestration at Edges: An Attention-Diffusion-Aided DRL Method
Blind Network Interdiction Strategies - A Learning Approach
A Very Brief Introduction to Machine Learning With Applications to Communication Systems
Joint Beamforming Design and Sensing in Satellite and RIS-Enhanced Terrestrial Networks: A Federated Learning Approach
Enabling Robust and Generalized DRL-Driven Routing Optimization Via Exploration of Graph Neural Networks
Q-Learning-Based Spectrum Access for Content Delivery in Mobile Networks
Age of Information for Short-Packet Relay Communications in Cognitive-Radio-Based Internet of Things With Outdated Channel State Information
Spectrum Sensing Under Illegal Spectrum Access Behaviors in Multiple Authorized Users Scenario
Deep Learning-Based Joint Channel Equalization and Symbol Detection for Air-Water Optoacoustic Communications
Semantic Successive Refinement: A Generative AI-Aided Semantic Communication Framework
SILP: A Stochastic Imitative Learning Protocol for Multi-Carrier Spectrum Access
Competitive Resource Allocation in HetNets: The Impact of Small-Cell Spectrum Constraints and Investment Costs
On the Performance of Cooperative NOMA Downlink: A RIS-Aided D2D Perspective
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks
A Survey of Graph-Based Resource Management in Wireless Networks - Part I: Optimization Approaches
Routing for Space-Air-Ground Integrated Network With GAN-Powered Deep Reinforcement Learning
Spectrum Resource Allocation Based on Cooperative NOMA With Index Modulation
A Secure Spectrum Handoff Mechanism in Cognitive Radio Networks
CCIFE: Channel-Resilient Ensemble Adversarial Attack Against DNN-Based Modulation Classifiers
Soft-Sensing CQI Feedback-Based Access Scheme in Cognitive Radio Networks
Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks
Energy-Efficient Data Gathering and Computing in LEO Satellite-Assisted Marine IoT Networks
Leveraging Transfer Learning for Radio Map Estimation via Mixture of Experts
Toward the Coexistence of Cognitive Networks for Vehicular Communications on TVWS for IEEE Std. 802.22
Online Antenna Tuning in Heterogeneous Cellular Networks With Deep Reinforcement Learning
Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme
Secure Active Reconfigurable Intelligent Surface-Assisted Mobile Edge Computing
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
UAV-Aided Aerial Reconfigurable Intelligent Surface Communications With Massive MIMO System
DeepMA: End-to-End Deep Multiple Access for Wireless Image Transmission in Semantic Communication
Storage-Aware Joint User Scheduling and Bandwidth Allocation for Federated Edge Learning
Enabling Privacy-Preserving and Drop-Out Resilient Federated LLM Fine-Tuning for the Low-Altitude UAV Swarm Networks
FlexGen: Efficient On-Demand Generative AI Service With Flexible Diffusion Model in Mobile Edge Networks
Fast-Convergent Federated Learning With Adaptive Weighting
A Novel Scheme for Dynamic Task Collaboration Among Large-Scale UAV Swarms in the Era of Low-Altitude Economy
QRadCom: Quantum-Assisted Source and Symbol Detection Framework in a Radar Communication System With Low-Computational Complexity
On the Performance of Channel Occupancy Rate Estimation With Iterative Threshold Setting in Cognitive Radios
Nonlinearity Approximation-Based Spectrum Map Fusion With Environmentally Adaptive Regularization
Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer
Strategic Surveillance Against Primary User Emulation Attacks in Cognitive Radio Networks
An Extensible and Flexible Truthful Auction Framework for Heterogeneous Spectrum Markets
5G End-to-End Slice Embedding Based on Heterogeneous Graph Neural Network and Reinforcement Learning
Image Analysis Oriented Integrated Sensing and Communication via Intelligent Reflecting Surface
Intelligent Resource Adaptation for Diversified Service Requirements in Industrial IoT
Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB
SC-PNC: Semantic Communication-Empowered Physical-Layer Network Coding
On the Second-Order Achievabilities of Indirect Quadratic Lossy Source Coding
Probabilistic Transmission in Covert Cell-Free IoT Networks
A Multi-Task Learning Model for Trajectory and Cellular Signal Power Prediction
Latency-Sensitive Covert Federated Learning via UAV
Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network
FedVKD: An Adaptive Virtual Data-Based Knowledge Distillation Framework for Heterogeneous Federated Learning
Novel Piecewise Normalized Bistable Stochastic Resonance Strengthened Cooperative Spectrum Sensing
Intelligent Software-Defined Mesh Networks With Link-Failure Adaptive Traffic Balancing
Gaussian Mixture Model-Based Anomaly Detection for Defense Against Byzantine Attack in Cooperative Spectrum Sensing
Extended Delivery Time Analysis for Secondary Packet Transmission With Adaptive Modulation Under Interweave Cognitive Implementation
Cooperative Sensing of Non-Cooperative Beam Signals
Hybrid Energy Harvesting-Based Cooperative Spectrum Sensing and Access in Heterogeneous Cognitive Radio Networks
On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems
DySPAN Spectrum Challenge: Situational Awareness and Opportunistic Spectrum Access Benchmarked
LiveStream Meta-DAMS: Multipath Scheduler Using Hybrid Meta Reinforcement Learning for Live Video Streaming
Specific Bidirectional Beam Alignment for Micro-Displacement Sensing in 6G Networks: An mmWave Beamforming-Based ISAC Approach
Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency
Energy-Assisted Decode-and-Forward for Energy Harvesting Cooperative Cognitive Networks
Reliable and Secure Pre-Coding OFDM-DCSK Design for Practical Cognitive Radio Systems With the Carrier Frequency Offset
Achievable Rates of Opportunistic Cognitive Radio Systems Using Reconfigurable Antennas With Imperfect Sensing and Channel Estimation
Secure Cognitive Satellite-Terrestrial Networks: From Adaptive Eavesdropper Perspective
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
Delay Sensitive Hierarchical Federated Learning With Stochastic Local Updates
Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification
An Intelligent Game-Based Anti-Jamming Solution Using Adversarial Populations for Aerial Communication Networks
Channel Pruning Method for Signal Modulation Recognition Deep Learning Models
A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing
Sensing-Transmission-Energy Trade-Off for IRS-Assisted Cognitive UAV Communication Systems
Mitigating Poisoning Attacks in Federated Learning Through Deep One-Class Classification
Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks
Balancing Energy Consumption and Reputation Gain of UAV Scheduling in Edge Computing
Stackelberg Equilibria of an Anti-Jamming Game in Cooperative Cognitive Radio Networks
RFF Template Design: Adaptively Decreasing Both Doppler Shifts and Noise for Complex-Valued Signals
Quadruple Code Index Modulation
Deep Reinforcement Learning-Based Mobility-Aware Robust Proactive Resource Allocation in Heterogeneous Networks
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training
Spectrum Sensing Based on Graph Fourier Transform Using Laplacian Matrix and Vertex Probability Vector
RIS-Assisted Communications: A Comprehensive Study for Far- and Near-Field Scenarios
Multi-Network Access in 5G: Economies of Scale, Without the Scale
Opportunistic Utilization of Dynamic Multi-UAV in Device-to-Device Communication Networks
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation
A Self-Supervised-Based Approach of Specific Emitter Identification for the Automatic Identification System
Low-Complexity Neural Belief Propagation Decoding Algorithm Based on Tensor Ring Decomposition
Device-Level Learning-Based Distributed Power Control for Uplink NOMA in IoT Networks
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access
Application-Aware Resource Allocation of Hybrid Traffic in Cellular Networks
Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design
GAI-AntiCopy: Infrequent Transformation Aided Accuracy-Consistent Copyright Protection for Generative AI Instructions in NGN
Drone Identification Based on Normalized Cyclic Prefix Correlation Spectrum
Performance of CDRT-Based Underlay Downlink NOMA Network With Combining at the Users
A Novel Privacy-Preserving Incentive Mechanism for Multi-Access Edge Computing
Exploring Collaborative Diffusion Model Inferring for AIGC-Enabled Edge Services
Maximizing Energy Efficiency of Cognitive Wireless Sensor Networks With Constrained Age of Information
Key Technologies and Applications of UAVs in Underground Space: A Review
A Robust Adaptive High-Precision Entangled Photons-Based Ranging System
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Reinforcement Learning-Based Vehicle-Cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Priority-Aware Parallel Transmission Toward Dense Satellite Remote Sensing and Communication Integrated Networks
Interference-Free Backscatter Communications for OFDM-Based Symbiotic Radio
A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination
Sensing-Throughput Tradeoff for Superior Selective Reporting-Based Spectrum Sensing in Energy Harvesting HCRNs
Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks
On Temporal and Spatial Behaviors of CBRS SAS
STAR-RIS Aided SWIPT Systems With Non-Linear Energy Harvesting Model
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System
Federated Distillation in Massive MIMO Networks: Dynamic Training, Convergence Analysis, and Communication Channel-Aware Learning
A Machine-Learning-Based Connectivity Model for Complex Terrain Large-Scale Low-Power Wireless Deployments
Resource Allocation for Multi-Target Radar Tracking via Constrained Deep Reinforcement Learning
Spectrum Bargaining: A Model for Competitive Sharing of Unlicensed Radio Spectrum
Aerial RIS-Aided Physical Layer Security: Optimal Deployment and Partitioning
Cooperative Hybrid Nonorthogonal Multiple Access-Based Mobile-Edge Computing in Cognitive Radio Networks
Deep Learning-Based DOA Estimation
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features
Intelligent Service Migration Based on Hidden State Inference for Mobile Edge Computing
Sum Throughput Maximization in a Cognitive Multiple Access Channel With Cooperative Spectrum Sensing and Energy Harvesting
Stackelberg Game for Secure CR-NOMA Networks Against Internal Eavesdropper
Three-Dimensional Resource Matching for Internet of Things Underlaying Cognitive Capacity Harvesting Networks
Resource-Efficient QoS-Aware Video Streaming Using UAV-Assisted Networks
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks
Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism
Exploiting Error-Correction-CRC for Polar SCL Decoding: A Deep Learning-Based Approach
QoE-Guaranteed Optimization in MEC-Enabled Metaverse: An Active Inference Deep Reinforcement Learning Approach
Channel Estimation Enhancement With Generative Adversarial Networks
Ergodic Capacity Analysis of IRS Aided Wireless-Powered Relay Communication Network
Truthful Auction Analysis and Design in Multiunit Heterogenous Spectrum Markets With Reserve Prices
An Improved Initialization Method for Fast Learning in Long Short-Term Memory-Based Markovian Spectrum Prediction
Joint Precoding Design and Location Optimization in Joint Communication, Sensing and Computing of UAV Systems
IEEE TCCN Special Section Editorial: Intelligent Resource Management for 5G and Beyond
AoI-Based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach Using Empirical Data
Energy-Efficient Joint Resource Allocation With Reconfigurable Intelligent Surfaces in Symbiotic Radio Networks
Over-the-Air ODE-Inspired Neural Network for Dual Task-Oriented Semantic Communications
Toward Intelligent and Adaptive Task Scheduling for 6G: An Intent-Driven Framework
A Neural Network-Based Compressive LDPC Decoder Design Over Correlated Noise Channel
NOMA-Assisted Secure Computation Offloading and Resource Allocation in Marine Internet of Things
Cognitive Networks With In-Band Full-Duplex Radios: Jamming Attacks and Countermeasures
Joint Trajectory and Handover Management for UAVs Co-Existing With Terrestrial Users: A Multi-Agent DRL Approach
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction
Cognition in UAV-Aided 5G and Beyond Communications: A Survey
Machine Learning-Based Near-Field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array
Cross-Layer QoE Optimization for D2D Communication in CR-Enabled Heterogeneous Cellular Networks