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C

Christos Verikoukis

university of patras

H指数:45

被引数:8,580

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Distributed and Crowdsourced Artificial Intelligence: Enabling a Robust and Scalable 6G Network Architecture

分布式和众包人工智能：实现稳健且可扩展的6G网络架构

IEEE Vehicular Technology Magazine

IF7.2

2026-05-190

PRE

Toward the Optimal Service Function Chain Placement in a Multi-Domain 5G Architecture

面向多域5G架构的最优服务功能链部署

IEEE Transactions on Network Science and Engineering

IF7.9

2026-03-030

PRE

Computational Load Offloading and Resource Management Framework in a Converged Optical-Wireless 6G Network

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

IF7.9

2026-01-010

PRE

HORIZON: Holistic Online Heuristic for Power and QoS-Aware Service Provisioning in Sliced 6G Networks

IEEE Open Journal of the Communications Society

IF6.1

2026-01-010

OAAI

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks

面向自主6G网络的智能体AI驱动的认知偏差教程

IEEE Open Journal of the Communications Society

IF6.1

2026-01-010

OA

Cooperative Multi-Agent Deep Reinforcement Learning for Service-Aware Energy Optimization at the Network Edge

面向服务感知能源优化的网络边缘协同多智能体深度强化学习

IEEE Transactions on Network Science and Engineering

IF7.9

2025-12-260

PRE

ARM: Autonomous Remediation and Management With LLM Agents for Intent-Driven Control

ARM：基于LLM智能体的意图驱动控制的自主修复与管理

IEEE Internet of Things Journal

IF8.9

2025-12-260

PRE

DMO-GPT: An Intent-Driven Framework for Distributed 6G Management and Orchestration

DMO-GPT：一种面向意图的分布式6G管理与编排框架

IEEE Communications Magazine

IF8.2

2025-10-200

PRE

Intelligent QoS-Aware Slice Resource Allocation With User Association Parameterization for Beyond 5G O-RAN-Based Architecture Using DRL

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2025-02-010

OA

6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge

IEEE VEHICULAR TECHNOLOGY MAGAZINE

IF7.2

2025-01-010

PRE

Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research

6G O-RAN中的可解释人工智能：关于架构、用例、挑战和未来研究的教程与综述

IEEE Communications Surveys & Tutorials

IF0

2024-12-020

PRE

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING

IF7

2024-12-010

OA

A Multi-Level Deep RL-Based Network Slicing and Resource Management for O-RAN-Based 6G Cell-Free Networks

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2024-11-011

PRE

SLICEOPS: EXPLAINABLE MLOPS FOR STREAMLINED AUTOMATION-NATIVE 6G NETWORKS

IEEE WIRELESS COMMUNICATIONS

IF11.5

2024-10-014

OA

Intent-Based Management of Next-Generation Networks: an LLM-Centric Approach

下一代网络的基于意图的管理: 以LLM为中心的方法

IF6.3

2024-09-014

PRE

Resource Demand Prediction for Network Slices in 5G Using ML Enhanced With Network Models

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2024-08-011

PRE

Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2024-07-015

OA

Enhancing V2X QoS: A Dual Approach of Packet Duplication and Dynamic RAN Slicing in B5G

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

IF8.4

2024-07-010

PRE

Real-Time Energy Scheduling Applying the Twin Delayed Deep Deterministic Policy Gradient and Data Clustering

ieee open journal of circuits and systems

IF4.4

2024-03-016

PRE

On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G

IEEE COMMUNICATIONS MAGAZINE

IF8.2

2024-01-010

OA