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Communications and Networking. 16th EAI International Conference, ChinaCom 2021 Virtual Event, November 21–22, 2021 Proceedings

✍ Scribed by Honghao Gao, Jun Wun, Jianwei Yin, Feifei Shen, Yulong Shen, Jun Yu


Publisher
Springer
Year
2022
Tongue
English
Leaves
569
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 433
Category
Library

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✦ Table of Contents


Preface
Organization
Contents
Data Intensive Services Based Application (DISA) Workshop
Research on Airborne Wireless Sensor Network Based on Wi-Fi Technology
1 Introduction
2 Previous Work
3 Selection and Experimetion Evaluation of Wireless Technology
3.1 Choice of Wireless Technology
3.2 Theoretical Evaluation
3.3 Analysis of Simulation Results
4 Hybrid Network Architecture
5 Conclusion
References
Millimeter Wave Hybrid Precoding Based on Deep Learning
1 Introduction
2 System Model and Problem Description
2.1 System Model
2.2 Problem Description
3 Problem Solving
3.1 Millimeter Wave Compression Channel Sensing
3.2 Deep Learning Model
3.3 Neural Network Training
3.4 Neural Network Prediction
4 Simulation Analysis
4.1 Simulation Settings
4.2 Achievable Rate
4.3 Predict Accuracy
5 Conclusions
References
Open-Set Recognition Algorithm of Signal Modulation Based on Siamese Neural Network
1 Introduction
2 Signal Model and Open-Set Recognition System Model
2.1 Signal Model
2.2 Open-Set Recognition System Model
3 Three-Stage Open-Set Recognition Algorithm
4 Experimental Test and Result Analysis
5 Conclusions
References
Accurate Frequency Estimator of Real Sinusoid Based on Maximum Sidelobe Decay Windows
1 Introduction
2 Proposed Algorithm
3 Simulation Results
4 Conclusion
References
Transfer Learning Based Algorithm for Service Deployment Under Microservice Architecture
1 Introduction
2 System Model
2.1 Cloud Model
2.2 Service Model
2.3 Delay Model
2.4 Cost Model
2.5 Problem Formation
3 Service Deployment Algorithm
3.1 Markov Decision Process
3.2 DQN Based Service Deployment Algorithm
3.3 MCJOTL Based Service Deployment Algorithm
4 Simulation Result
5 Conclusion
References
Scheduling and Transmission Optimization in Edge Computing
Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks
1 Introduction
2 System Model and Problem Formulation
2.1 Channel Model
2.2 Signal Model
2.3 Problem Formulation
3 Solution of the Optimization Problem
4 Simulation Results
5 Conclusions
References
GAN-SNR-Shrinkage-Based Network for Modulation Recognition with Small Training Sample Size
1 Introduction
2 System Model
3 GSS Network Structure
3.1 DCGAN
3.2 SNR Augment
3.3 Signal Preprocessing
3.4 Shrinkage CNN
4 Experimental Results
4.1 Dataset
4.2 Results
5 Conclusion
References
Joint Resource Allocation Based on F-OFDM for Integrated Communication and Positioning System
1 Introduction
2 System Model
2.1 Network Model
2.2 Communication and Ranging Performance Analysis
3 JCP-OSOP Resource Allocation Strategy
3.1 The Sub-carrier Allocation Model
3.2 The Power Allocation Model
4 Performance Evaluation
4.1 Simulation Setup
4.2 Results and Discussions
5 Conclusion
References
UAV Formation Using a Dynamic Task Assignment Algorithm with Cooperative Combat
1 Introduction
2 Cooperative Combat Modeling
2.1 UAV Formation Scene Research
2.2 Cooperative Task Assignment
2.3 Path Planning Methods
3 Dynamic Task Adjustment
3.1 Failure Analysis of Various Nodes
3.2 Dynamic Task Adjustment Algorithm
4 Simulation Results and Analysis
4.1 Simulation Scenario and Task Parameter Settings
4.2 Dynamic Task Adjustment Simulation
5 Conclusion
References
Complex System Optimization in Edge Computing
Research and Implementation of Multi-Agent UAV System Simulation Platform Based on JADE
1 Introduction
2 Rule System
2.1 Agent Mobility Models
2.2 Agent Obstacle Avoidance Algorithm
3 Simulation Results
3.1 UAVs Formation Simulation Results
3.2 Collision Avoidance Test Simulation Results
3.3 Dynamic Task Reliability Assessment
4 Conclusion
References
A Complex Neural Network Adaptive Beamforming for Multi-channel Speech Enhancement in Time Domain
1 Introduction
2 Complex Neural Network Adaptive Beamforming
2.1 The Formulation of Input Signal
2.2 Complex Adaptive Spatial Filtering
2.3 CNAB-CFCN Architecture
2.4 Loss Function
3 Experimental Setup
3.1 Production of Dual-Channel Dataset
3.2 Experimental Setting
3.3 Training Baseline and Training Results
4 Conclusions
References
Robust Transmission Design for IRS-Aided MISO Network with Reflection Coefficient Mismatch
1 Introduction
2 The System Model
2.1 Transmission Model
2.2 Problem Formulation
3 Robust Optimization Solutions
3.1 Problem Transformation
3.2 The Alternating Optimization Method
4 Simulation Results
5 Conclusion
References
Network Communication Enhancement
Distributed Deep Reinforcement Learning Based Mode Selection and Resource Allocation for VR Transmission in Edge Networks
1 Introduction
2 System Model
2.1 Network Model
2.2 Communication Model
2.3 Computing Model
2.4 Quality of Experience Model
3 Problem Formulation
4 DGTB-DRL for the Optimization Problem
5 Simulation Results and Discussions
5.1 Evaluation of Different Learning Parameters
5.2 Simulation of Different Scenarios
5.3 Performance of Different Algorithms
6 Conclusion
References
Joint Optimization of D2D-Enabled Heterogeneous Network Based on Delay and Reliability Constraints
1 Introduction
2 System Model
2.1 Interference Model
2.2 Delay and Reliability Model
2.3 Optimization
3 Dynamic Allocation of Network Resources
3.1 Spectrum Resource Matching Algorithm Based on Cluster
3.2 Power Optimization Based on Lyapunov Method
4 Simulation Results and Analysis
4.1 Simulation Configuration
4.2 Results and Analysis
5 Conclusion
References
Channel Allocation for Medical Extra-WBAN Communications in Hybrid LiFi-WiFi Networks
1 Introduction
2 System Model
3 A Proposed Channel Allocation Strategy
4 Simulation and Results Discussion
5 Conclusion
References
Cache Allocation Scheme in Information-Centric Satellite-Terrestrial Integrated Networks
1 Introduction
2 Network Scenarios
3 Dynamic Cache Allocation Scheme
3.1 Problem Description
3.2 Problem Formulation
3.3 Matching-Based Cache Allocation Algorithm
3.4 Proactive Pushing Scheme
4 Simulation Results
5 Conclusions
References
Signal Processing and Communication Optimization
Resource Allocation in Massive Non-Orthogonal Multiple Access System
1 Introduction
2 System Model
2.1 Signaling Model
2.2 Energy Efficiency Model
3 Recourse Allocation Algorithm
3.1 Subcarrier Allocation
3.2 Power Allocation
4 Simulation Results
5 Conclusion
References
Distortionless MVDR Beamformer for Conformal Array GNSS Receiver
1 Introduction
2 Interference Suppression Using Antenna Array
2.1 Signal Generation
2.2 Signal Receiving Model
2.3 Interference Suppression Using MVDR Beamformer
3 Proposed Method
3.1 Conformal Array Signal Receiving Model
3.2 Distortionless MVDR Beamformer for Conformal Array
4 Simulation Results
4.1 Interference Suppression Performance of the Proposed Method
4.2 SINR Performance Comparison with the Traditional MVDR
4.3 Beidou Signal Distortion Performance Comparison with the Traditional MVDR
5 Conclusion
References
HEVC Rate Control Optimization Algorithm Based on Video Characteristics
1 Introduction
2 Related Technical Principles
3 Proposed Rate Control Model
3.1 Frame-Level Bit Allocation Model
3.2 LCU-Level Bit Allocation Model
3.3 New Complexity Based on Time and Space
3.4 LCU-Level Bit Allocation Equation
3.5 Model Parameter Update
4 Experimental Result
4.1 R-D Performance
4.2 Rate Control Performance
5 Conclusion
References
Performance Analysis of Radar Communication Shared Signal Based on OFDM
1 Introduction
2 Signal Model
3 Ambiguity Function
3.1 Range Ambiguity Function
3.2 Velocity Ambiguity Function
3.3 Evaluation Indicator
3.4 Fast Algorithm for Ambiguity Function
4 Simulation and Analysis
4.1 Influence of the Number of Subcarriers
4.2 Influence of the Number of OFDM Symbols
4.3 Influence of Cyclic Prefix
5 Conclusion
References
Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Cell-free Networks
1 Introduction
2 System Model and Problem Formulation
3 Jointly Design Framework
4 Numerical Simulation
5 Conclusion
References
Deep Learning and Vehicular Communication
Text Error Correction Method in the Construction Industry Based on Transfer Learning
1 Introduction
2 Related Work
2.1 Text Error Correction
2.2 Transfer Learning
3 BERT Model
3.1 Model Architecture
3.2 Pre-training Task
3.3 Input of BERT Model
4 Proposed Method
4.1 Task Description
4.2 Datasets
4.3 Our Model
5 Experiments
5.1 Experimental Environment
5.2 Experimental Evaluation Indicators
5.3 Experimental Results
6 Conclusion
References
A Beam Tracking Scheme Based on Deep Reinforcement Learning for Multiple Vehicles
1 Introduction
2 System Model
2.1 Channel Model
2.2 Signal Model
3 Problem Formulation
3.1 Deep Beam Selection Model
3.2 Beam Selection Problem
4 PPJS Scheme Based on Deep Reinforcement Learning
4.1 Trajectory Prediction Module
4.2 Vehicle Division Module
4.3 Beam Selection Module
5 Simulation Results and Performance Analysis
5.1 Parameter Setup
5.2 Results and Analysis
6 Conclusion
References
A Dynamic Transmission Design via Deep Multi-task Learning for Supporting Multiple Applications in Vehicular Networks
1 Introduction
2 System Model and Transmission Design Problem
3 Deep Multi-task Learning-Aided Transmission Design
4 Numerical Results
5 Conclusion
References
Sub-carrier Spacing Detection Algorithm in 5G New Radio Systems
1 Introduction
2 System Model and the Cyclostationarity of OFDM Signals
3 Description and Analysis of Sub-carrier Spacing Detection Algorithm
3.1 Algorithm Description
3.2 Analysis of Sub-carrier Spacing Detection Algorithm
4 Algorithm Simulation and Result Analysis
4.1 Simulation Results
5 Conclusion
References
Pre-handover Mechanism in the Internet of Vehicles Based on Named Data Networking
1 Introduction
2 Proposed Pre-handover Mechanism
2.1 Pre-handover Application Scenario
2.2 The Routing Process of Data Packets
2.3 Probabilistic Prediction Model
3 Routing of Backhaul Data Packets
4 Simulation Results and Discussions
5 Conclusion
References
Edge Computing and Deep Learning
Selective Modulation and Cooperative Jamming for Secure Communication in Untrusted Relay Systems
1 Introduction
2 System Model
3 Selective Modulation and Cooperative Jamming
4 Security Scheme Design
4.1 Signal Design Based on MPSK
4.2 Security Analysis Based on MPSK
4.3 Security Scheme Design Without Leakage
5 Simulation Results
6 Conclusion
References
Deep CSI Feedback for FDD MIMO Systems
1 Introduction
2 System Model
3 Design of Deep CSI Feedback
3.1 FCNet
3.2 CNet
3.3 PCANet
4 Simulation Results and Analysis
4.1 Experiment Setup
4.2 Simulation Results and Analysis
5 Conclusion
References
Joint Computation Offloading and Wireless Resource Allocation in Vehicular Edge Computing Networks
1 Introduction
2 System Model
2.1 The Overall System Model
2.2 The Transmission Model
2.3 The Computation Model
3 Problem Formulation and Solution
3.1 The Local Rescource Allocation
3.2 The Subproblem of Offloading Ratio
3.3 The Subproblem of Transmit Power
4 Simulation Results
5 Conclusion
References
Non-coherent Receiver Enhancement Based on Sequence Combination
1 Introduction
2 System Model
2.1 Transmitter
2.2 Receiver
3 Enhanced Non-coherent Receiver
3.1 Design of Enhanced Non-coherent Receiver
3.2 Complexity
4 Simulation Results and Analysis
5 Conclusion
References
MCAD-Net: Multi-scale Coordinate Attention Dense Network for Single Image Deraining
1 Introduction
2 Related Work
3 Proposed Method
3.1 Proposed MCAD-Net
3.2 Design of Multi-scale Coordinate Attention Block (MCAB)
3.3 Loss Function
4 Experiments
4.1 Experiment Details
4.2 Datasets and Evaluation Metrics
4.3 Results on Synthetic Datasets
4.4 Results on Real-World Datasets
4.5 Ablation Study
5 Conclusion
References
Finite Blocklength and Distributed Machine Learning
6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime
1 Introduction
2 System Model
2.1 Uplink Pilot Training
2.2 Downlink FBL Data Transmission
3 Minimize the Error Probability in the FBL Regime
4 Numerical Results
5 Conclusion
References
Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks
1 Introduction
1.1 A Subsection Sample
2 Power Distribution Network Terminal Data Analysis
2.1 Terminal Data Type
2.2 Data Preprocessing Based on DCP
2.3 Data Preprocessing Process
3 System Model
3.1 Data Complexity
3.2 Delay and Power of Data
4 Simulation Result
4.1 Verification of Analysis
4.2 Influence Factors
5 Conclusion
References
Robust Sound Event Detection by a Two-Stage Network in the Presence of Background Noise
1 Introduction
2 Methods
2.1 Signal Model
2.2 Denoising Block
2.3 SED Block
2.4 Weighted Multi-task Loss
2.5 Two-Stage Network
3 Experiments
3.1 Data
3.2 Experimental Setup
3.3 Metrics
4 Results
4.1 Experimental Results
4.2 Denoising Block Visualization
5 Conclusion
References
Deep Learning and Network Performance Optimization
Routing and Resource Allocation for Service Function Chain in Service-Oriented Network
1 Introduction
2 System Model and Problem Formulation
2.1 Network Communication Model
2.2 SFC Service Model
2.3 Problem Formulation
3 Solution to the Problem
3.1 Problem Decomposition
3.2 Binary Recover
4 Simulation Results
5 Conclusions
References
Service-Aware Virtual Network Function Migration Based on Deep Reinforcement Learning
1 Introduction
2 System Model and Problem Formulation
2.1 Network Model
2.2 Dynamic Threshold Trigger Mechanism
2.3 Problem Formulation
3 Migration Decision Based on DRL
3.1 Markov Decision Process
3.2 Migration Scheme Based on DRL
4 Simulation Results
4.1 Experiment Settings
4.2 Numerical Results and Discussions
5 Conclusions
References
Dual-Channel Speech Enhancement Using Neural Network Adaptive Beamforming
1 Introduction
2 Algorithm Description
2.1 Problem formulation
2.2 NABDTN architecture
2.3 Loss functions
3 Experimental Results
3.1 Setups
3.2 Results
4 Conclusion
References
Edge Computing and Reinforcement Learning
Fog-Based Data Offloading in UWSNs with Discounted Rewards: A Contextual Bandit
1 Introduction
2 Related Works
3 System Model and Problem Formulation
4 NCB-rDO Design: Nonlinear Contextual Bandit Robust for Data Offloading
4.1 Kernel UCB Algorithm
4.2 Discounting the Rewards
5 Simulation
5.1 Evaluation Metrics
5.2 Methodology and Simulation Setup
5.3 Simulation Results
6 Conclusion
References
Deep Deterministic Policy Gradient Algorithm for Space/Aerial-Assisted Computation Offloading
1 Introduction
2 System Model
2.1 The SAGIN Architecture
2.2 Computation Model
2.3 Communication Model
3 Problem Formulation and Algorithm
3.1 Problem Formulation
3.2 Deep Deterministic Policy Gradient Algorithm
4 Performance Evaluation
4.1 Simulation Settings
4.2 Simulation Results
5 Conclusion
References
Performance Analysis for UAV-Assisted mmWave Cellular Networks
1 Introduction
2 System Model
2.1 Channel Modeling
2.2 Antenna Gain
3 Distance Distributions and Association Probability
3.1 Distance Distribution Between the Typical UE and Nearest UAV/GBS
3.2 Association Probability
4 Coverage Probability
4.1 SINR
4.2 SINR Coverage Probability
4.3 Rate And ASE
5 Performance Analysis and Discussions
6 Conclusion
A Appendix
References
Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems
1 Introduction
2 System Model and Problem Formulation
2.1 System Model
2.2 Problem Formulation
3 Proposed Algorithm
3.1 Sub-problem 1: Optimizing the Transmit Beamforming w with Given Q and CI
3.2 Sub-problem 2: Optimizing the AIRS Reflect Phase Shift Matrix Q with Given w and CI
3.3 Sub-problem 3: Optimizing the Position CI of the AIRS with Given Q and w
3.4 Overall Algorithm
4 Simulation Results
5 Conclusion
References
Author Index


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