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ISSN: 2352-8648
CN: 50-1212/TN
p-ISSN: 2468-5925

FlyCache: Recommendation-Driven Edge Caching Architecture for Full Life Cycle of Video Streaming

With the rapid development of 5G technology, the proportion of video traffic on the Internet is increasing, bringing pressure on the network infrastructure. Edge computing technology provides a feasible...

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Computing Power Networks for Unmanned Aerial Vehicles: A Hierarchical Resources Trading Market

Unmanned Aerial Vehicles (UAVs) are increasingly deployed across military and civilian domains due to their operational flexibility, low maintenance costs, and high mobility. With the growing complexity...

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Lightweight Consensus Mechanisms in the Internet of Blockchained Things: Thorough Analysis and Research Directions

The Internet of Things (IoT) has gained substantial attention in both academic research and real-world applications. The proliferation of interconnected devices across various domains promises to deliver...

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Secure intelligent reflecting surface assisted mobile edge computing system with wireless power transfer

In this paper, we study an Intelligent Reflecting Surface (IRS) assisted Mobile Edge Computing (MEC) system under eavesdropping threats, where the IRS is used to enhance the energy signal transmission...

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Joint user association and resource allocation for cost-efficient NOMA-enabled F-RANs

Integrating Non-Orthogonal Multiple Access (NOMA) into Fog Radio Access Networks (F-RANs) has shown to be effective in boosting the spectral efficiency, energy efficiency, connectivity, and reducing...

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Chaotic moving video quality enhancement based on deep in-loop filtering

The Joint Video Experts Team (JVET) has announced the latest generation of the Versatile Video Coding (VVC, H.266) standard. The in-loop filter in VVC inherits the De-Blocking Filter (DBF) and Sample...

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Cost-aware cloud workflow scheduling using DRL and simulated annealing

Cloud workloads are highly dynamic and complex, making task scheduling in cloud computing a challenging problem. While several scheduling algorithms have been proposed in recent years, they are mainly...

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UAV-assisted MEC offloading strategy with peak AOI boundary optimization: A method based on DDQN

In response to the requirements for large-scale device access and ultra-reliable and low-latency communication in the power internet of things, unmanned aerial vehicle-assisted multi-access edge computing...

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A new technology perspective of the Metaverse: Its essence, framework and challenges

The Metaverse depicts a parallel digitalized world where virtuality and reality are fused. It has economic and social systems like those in the real world and provides intelligent services and applications....

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Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles

Road obstacles that unexpectedly appear due to vehicle breakdowns and accidents are major causes of fatal road accidents. Connected Autonomous Vehicles (CAVs) can be used to avoid collisions to ensure...

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End-to-end multi-granulation causality extraction model

Causality extraction has become a crucial task in natural language processing and knowledge graph. However, most existing methods divide causality extraction into two subtasks: extraction of candidate...

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Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles

The Internet of Vehicles (IoV) has great potential for Intelligent Transportation Systems (ITS), enabling interactive vehicle applications, such as advanced driving and infotainment. It is crucial to...

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Secure transmission design for RIS-aided symbiotic radio networks: A DRL approach

In this paper, we investigate a Reconfigurable Intelligent Surface (RIS)-assisted secure Symbiosis Radio (SR) network to address the information leakage of the primary transmitter (PTx) to potential...

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High-throughput SatCom-on-the-move antennas: Technical overview and state-of-the-art

With the rapid development of satellite communications, satellite antennas attract growing interest, especially the high-throughput SatCom-on-the-move antenna for providing high-speed connectivity in...

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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

This paper investigates the multi-Unmanned Aerial Vehicle (UAV)-assisted wireless-powered Mobile Edge Computing (MEC) system, where UAVs provide computation and powering services to mobile terminals....

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Survey on security aspects of distributed software-defined networking controllers in an enterprise SD-WLAN

Software-Defined Networking (SDN) improves network management by separating its control logic from the underlying hardware and integrating it into a logically centralized control unit, termed the SDN...

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A novel routing method for dynamic control in distributed computing power networks

Driven by diverse intelligent applications, computing capability is moving from the central cloud to the edge of the network in the form of small cloud nodes, forming a distributed computing power network....

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Attack-detection and multi-clock source cooperation-based accurate time synchronization for PLC-AIoT in smart parks

Power Line Communications-Artificial Intelligence of Things (PLC-AIoT) combines the low cost and high coverage of PLC with the learning ability of Artificial Intelligence (AI) to provide data collection...

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A game incentive mechanism for energy efficient federated learning in computing power networks

Computing Power Network (CPN) is emerging as one of the important research interests in beyond 5G (B5G) or 6G. This paper constructs a CPN based on Federated Learning (FL), where all Multi-access Edge...

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Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system

Recently, several edge deployment types, such as on-premise edge clusters, Unmanned Aerial Vehicles (UAV)-attached edge devices, telecommunication base stations installed with edge clusters, etc., are...

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FedACT: An adaptive chained training approach for federated learning in computing power networks

Federated Learning (FL) is a novel distributed machine learning methodology that addresses large-scale parallel computing challenges while safeguarding data security. However, the traditional FL model...

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Partial observation learning-based task offloading and spectrum allocation in UAV collaborative edge computing

Capable of flexibly supporting diverse applications and providing computation services, the Mobile Edge Computing (MEC)-assisted Unmanned Aerial Vehicle (UAV) network is emerging as an innovational...

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Sum-throughput maximization for UAV-aided energy-harvesting WBANs: Hovering altitude design, power control and time allocation

UAV-aided energy-harvesting WBANs where sensor nodes can harvest RF energy transmitted by a UAV have attracted considerable attention. However, how to maximize the sum-throughput of the sensor nodes...

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Rate distortion optimization for adaptive gradient quantization in federated learning

Federated Learning (FL) is an emerging machine learning framework designed to preserve privacy. However, the continuous updating of model parameters over uplink channels with limited throughput leads...

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Practical frequency-hopping MIMO joint radar communications: Design and experiment

Joint Radar and Communications (JRC) can implement two Radio Frequency (RF) functions using a single of resources, providing significant hardware, power and spectrum savings for wireless systems requiring...

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