-- Advanced Networking and Optimization Strategies. -- Research on Random Access Control Strategy and Optimization Algorithm of Multi-type Terminals Based on Deep Reinforcement Learning. -- A Novel Approach on Semantic Performance Oriented Radio Resource Allocation. -- A Two-Stage Heuristic SFC Deployment Approach in Software Defined Satellite Networks. -- Blockchain-based Federated Learning with Malicious Attacks in Fog Computing Networks. -- Target Detection in ISAC System Equipped with IRS: A Joint Active and Passive Beamforming Approach. -- Architecture-Aware Optimization Strategies for Instruction Selection in DSP Compilers. -- Signal Processing and Communication Optimization. -- A Knowledge Graph for UAV Mission Planning Systems. -- Dynamic Resource Allocation for Network Slicing in LEO Satellite Networks. -- Scalable Blockchain-Based Access Control Algorithm for Large-Scale IoT Networks with Byzantine Nodes. -- Anti-attack Trust Evaluation Algorithm Based on Bayesian Inference in VANET. -- A Dummy Query-based User Privacy Protection Scheme in Named Data Networking. -- Analytic Hierarchy Process Based Cell Reselection for Inactive Users in LEO Satellite Networks. -- Resource Allocation and MEAR Maximization for RIS-Aided eMBBffiURLLC Traffic Multiplexing. -- Deep Learning Applications and Optimization. -- Enhancing Network Intrusion Detection with Deep Oversampling and Convolutional Autoencoder for Imbalanced Dataset. -- Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy. -- VEC system for vehicle-to-vehicle communication Task offloading strategy research. -- Research on Synchronization Technology of Dynamic Environment Signals in the Laser Measurement and Control System. -- A Generic Solution for IoT Ontology Model Based on OCF Standard. -- Joint eMBB-URLLC Resource Allocation Based on Reliability Requirements of Users. -- Achieving mURLLC under Nakagami-m Fading in the CF mMIMO System. -- Scheduling and Transmission Optimization. -- A Novel Codebook Construction and Blind Detection Method for Grant-Free mMTCs. -- Dynamic Resource Allocation for Multi-Beam Satellite Communication Systems. -- Audio-Visual Sound Event Localization and Detection based on CRNN using Depth-wise Separable Convolution. -- Efficient and Adaptive P3FA Forwarding using Popularity-based Egress Clustering. -- A Unicast Packet Forwarding Accelerator Design Based on the RNS Algorithm. -- A Neural Network Assisted FuLMS Algorithm for Active Noise Control System. -- Cryptographic fingerprinting for network devices based on triplet network and fuzzy extractors. -- Edge Computing and Artificial Intelligence Applications. -- Enabling mURLLC Under kappa-mu Shadowed Fading by Cell-Free mMIMO. -- Routing planning for video transmission in Cloud Content Delivery Networks based on Q-learning. -- A Heuristic Inter-Satellite Fault Tolerant Routing Mechanism Based on A-Star Algorithm. -- Multi-Scale and Coordinate Attention Residual Network for Efficient Keyword Spotting. -- An Adaptive Unloading Algorithm of Computing Tasks Based on Edge Cloud Collaboration Scenario for Internet of Things. -- GNSS-based Scene Recognition by Means of Machine Learning. -- Green Task Offloading with Integration of Communication and Computation for LEO Satellite Computing Networks.

This book constitutes the refereed proceedings of the 18th EAI International Conference on Principles and Practice of Multi-Agent Systems, ChinaCom 2023, held in Sanya, China, in November 2023. The 34 full papers presented were carefully reviewed and selected from 88 submissions. The conference covers a wide range of topics, such as: advanced networking and optimization strategies; signal processing and communication optimization; deep learning applications and optimization; scheduling and transmission optimization; edge computing and artificial intelligence applications; .