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• A Survey on AI for 6G: Challenges and Opportunities
  As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future of sixth-generation (6G) networks. By combining AI and Machin…
  datacite Chatzieleftheriou, Constantina, Liotou, Eirini 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Data-Model Co-Driven Continuous Channel Map Construction: A Perceptive Foundation for Embodied Intelligent Agents in 6G Networks
  Future 6G networks will host massive numbers of embodied intelligent agents, which require real-time channel awareness over continuous-space for autonomous decision-making. By pre-obtaining location-specific channel state information (CSI), channel map can be …
  datacite Qi, Tianrun, Wang, Cheng-Xiang, Huang, Chen, Li, Junling 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• SCROOGE: A Physics-Aware Framework for Efficient Orchestration of RIS-Assisted Networks
  Reconfigurable Intelligent Surfaces (RISs) are emerging as a key enabler of Programmable Wireless Environments for 6G, but their practical integration into operational networks still lacks orchestration mechanisms that can jointly support resource allocation, …
  datacite Papadopoulos, Alexandros I., Kopsinos, Sotiris, Tyrovolas, Dimitrios, Lalas, Antonios 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• <b>The Unseen Battleground: Secure Transmission Techniques for Next-Generation Networks</b>
  The advent of next-generation networks, epitomized by Sixth-Generation (6G) wireless systems, signifies a paradigm shift from the simplistic goal of connectivity to a complex ecosystem defined by the convergence of the physical, digital, and biological worlds.…
  datacite Owen, John 2026 置信度 0.66 Information systems educationData communicationsNetworking and communications
• Perspective Chapter: Factory of the Future – Integrating Wireless Communication, Sensing, and Localization with 5G and 6G
  Industry 4.0 envisions transforming traditional factories into the factory of the future (FoF), where every component of the industrial system is modular, flexible, and mobile. Wireless communications have become the backbone of realizing the FoF, breaking fre…
  datacite Vidal, Josep, muthineni, karthik, najar, monts 2025 置信度 0.66
• Perspective Chapter: Factory of the Future – Integrating Wireless Communication, Sensing, and Localization with 5G and 6G
  Industry 4.0 envisions transforming traditional factories into the factory of the future (FoF), where every component of the industrial system is modular, flexible, and mobile. Wireless communications have become the backbone of realizing the FoF, breaking fre…
  datacite Vidal, Josep, muthineni, karthik, najar, monts 2025 置信度 0.66
• 7G Wireless Communication Systems
  Fifth-generation (5G) communication, which has many more features than fourth-generation communication, will be officially launched very soon. A new paradigm of wireless communication, the sixth-generation (6G) system, with the full support of artificial intel…
  datacite Al-Abrat, Ahmed, Abdulsalam, Ahmed 2022 置信度 0.66 Wireless communication systems and technologies (incl. microwave and millimetrewave)Communication studiesNetworking and communicationsSatellite communications
• Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges
  The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by its ca-pabilities in multi-modal environmental sensing, complex task coordination…
  datacite Zhang, Ping, Meng, Rui, Xu, Xiaodong, Wang, Yaheng 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Fluid Antenna Networks Beyond Beamforming: An AI-Native Control Paradigm for 6G
  Fluid Antenna Systems (FAS) introduce a new degree of freedom for wireless networks by enabling the physical antenna position to adapt dynamically to changing radio conditions. While existing studies primarily emphasize physical-layer gains, their broader impl…
  datacite Akyildiz, Ian F., Bilen, Tuğçe 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• <b>The Unseen Battleground: Secure Transmission Techniques for Next-Generation Networks</b>
  The advent of next-generation networks, epitomized by Sixth-Generation (6G) wireless systems, signifies a paradigm shift from the simplistic goal of connectivity to a complex ecosystem defined by the convergence of the physical, digital, and biological worlds.…
  datacite Owen, John 2026 置信度 0.66 Information systems educationData communicationsNetworking and communications
• Design and Performance Characteristics of High-frequency Antenna Arrays for 6G Wireless Network
  Millimeter-Wave (mmWave) and sub-mmWave technology have tremendously advanced in the past decade. The need for adaptability in bandwidth, gain, efficiency, conformity, compactness, sustainability, affordability and commercialization has been the main driver of…
  datacite Aniko 2025 置信度 0.66 antennammWave5G6GCPW
• Federated Learning Framework Over Wireless Edge Network: Optimizing Resources and Learning Algorithms
  The extraordinary improvements in the Internet of Things (IoT), ubiquitous communications, and Artificial Intelligence (AI) have induced an exponential growth in the size of data generated every day by edge devices (e.g., IoT devices, smartphones, sensors, act…
  datacite Albaseer, Abdullatif Mohammed Abdullah 2024 置信度 0.66 Engineering
• Federated Learning Framework Over Wireless Edge Network: Optimizing Resources and Learning Algorithms
  The extraordinary improvements in the Internet of Things (IoT), ubiquitous communications, and Artificial Intelligence (AI) have induced an exponential growth in the size of data generated every day by edge devices (e.g., IoT devices, smartphones, sensors, act…
  datacite Albaseer, Abdullatif Mohammed Abdullah 2024 置信度 0.66 Engineering
• A Wideband Low-Complexity Simultaneous Multi-Beam Analog Beamforming Network
  The increasing demand for high-performance, wideband wireless communication systems has driven research into efficient beamforming network architectures. Multi-beam analog beamforming is a key solution for enabling simultaneous transmission and reception of mu…
  datacite Xie, Hao 2025 置信度 0.66 Analog beamformingDelay Vandermonde matrix (DVM)Multibeam beamformingEngineering--Electronics and Electrical
• Channel and Spectrum Consumption Models for Urban Outdoor-to-Outdoor 28 GHz Wireless
  Millimeter-wave (mmWave) communication has been widely accepted as an enabler of 6G and other next-generation wireless networks, though high path loss strains link budgets, and difficult channel conditions have limited the deployment of mmWave within the 5G NR…
  datacite Kohli, Manav, Caicedo, Carlos E., Chen, Tingjun, Tamim, Irfan 等 2025 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Intelligent AI-Driven Spectrum Management Framework for Cognitive Radio Networks in Next-Generation Wireless Systems
  The rapid growth of wireless devices, Internet of Things (IoT), and 5G networks has created serious challenges in spectrum management. Traditional spectrum allocation methods assign fixed frequency bands to licensed users, which often results in inefficient sp…
  datacite Sayyad Rukyabano Mansurali, Jankiram Rohidas Lingayat, Amol Sonaji Shinde, Kirti Ganpat Rathod 等 2026 置信度 0.66
• Intelligent AI-Driven Spectrum Management Framework for Cognitive Radio Networks in Next-Generation Wireless Systems
  The rapid growth of wireless devices, Internet of Things (IoT), and 5G networks has created serious challenges in spectrum management. Traditional spectrum allocation methods assign fixed frequency bands to licensed users, which often results in inefficient sp…
  datacite Sayyad Rukyabano Mansurali, Jankiram Rohidas Lingayat, Amol Sonaji Shinde, Kirti Ganpat Rathod 等 2026 置信度 0.66
• From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence
  The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins provide high-fidelity representations of physical systems and support monitoring, an…
  datacite Zheng, Jie, Niyato, Dusit, Zhao, Changyuan, Kang, Jiawen 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• W-band circuits for next generation point-to-point wireless communications
  The exponential growth in wireless data traffic, fuelled by the universal adoption of smartphone and tablet technology, is driving demand for faster, more efficient and higher capacity wireless networks. As the microwave spectrum rapidly approaches saturation,…
  datacite Mihaljevic, Jakov 2022 置信度 0.66 Other education not elsewhere classified
• W-band circuits for next generation point-to-point wireless communications
  The exponential growth in wireless data traffic, fuelled by the universal adoption of smartphone and tablet technology, is driving demand for faster, more efficient and higher capacity wireless networks. As the microwave spectrum rapidly approaches saturation,…
  datacite Mihaljevic, Jakov 2022 置信度 0.66 Other education not elsewhere classified
• Discrete Time Credit-Based Shaping for Time-Sensitive Applications in 5G/6G Networks
  Future wireless networks must deliver deterministic end-to-end delays for workloads such as smart-factory control loops. On Ethernet these guarantees are delivered by the set of tools within IEEE 802.1 time sensitive networking~(TSN) standards. Credit-based sh…
  datacite Karnam, Anudeep, Joshi, Kishor C., John, Jobish, Exarchakos, George 等 2025 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciences
• Stochastically Modeling and Exploiting the Spatial Domain in 6G Wireless
  The move towards 6G wireless aims to integrate diverse applications into a dense, spectrally efficient, and globally accessible network. To support massive device connectivity despite the limitations of finite time and frequency resources, spatial resources ar…
  datacite Gaydos, Matthew Gatti 2025 置信度 0.66 Wireless communication systems and technologies (incl. microwave and millimetrewave)
• Stochastically Modeling and Exploiting the Spatial Domain in 6G Wireless
  The move towards 6G wireless aims to integrate diverse applications into a dense, spectrally efficient, and globally accessible network. To support massive device connectivity despite the limitations of finite time and frequency resources, spatial resources ar…
  datacite Gaydos, Matthew Gatti 2025 置信度 0.66 Wireless communication systems and technologies (incl. microwave and millimetrewave)
• RF-Fencing: A Novel RIS-Based Service for Proactive Covert Communications
  Programmable wireless environments (PWEs), empowered by reconfigurable intelligent surfaces (RISes), have emerged as a transformative paradigm for next-generation networks, enabling deterministic control over electromagnetic (EM) propagation to enhance both pe…
  datacite Papadopoulos, Alexandros I., Tyrovolas, Dimitrios, Pitilakis, Alexandros, Diamantoulakis, Panagiotis D. 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• A Multi-Objective Learning Approach for Adaptive Waveform Selection in Integrated Sensing and Communications Systems
  Integrated Sensing and Communications (ISAC) has emerged as a key enabler for sixth generation (6G) wireless systems by jointly supporting data transmission and environmental awareness within a unified framework. However, communication and sensing functionalit…
  datacite Yazar, Ahmet, Demir, Yusuf Islam, Naeem, Ahmed, Karatepe, Seyit 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• RiLoCo: An ISAC-oriented AI Solution to Build RIS-empowered Networks
  The advance towards 6G networks comes with the promise of unprecedented performance in sensing and communication capabilities. The feat of achieving those, while satisfying the ever-growing demands placed on wireless networks, promises revolutionary advancemen…
  datacite Encinas-Lago, Guillermo, Sciancalepore, Vincenzo, Wymeersch, Henk, Di Renzo, Marco 等 2025 置信度 0.66
• RiLoCo: An ISAC-oriented AI Solution to Build RIS-empowered Networks
  The advance towards 6G networks comes with the promise of unprecedented performance in sensing and communication capabilities. The feat of achieving those, while satisfying the ever-growing demands placed on wireless networks, promises revolutionary advancemen…
  datacite Encinas-Lago, Guillermo, Sciancalepore, Vincenzo, Wymeersch, Henk, Di Renzo, Marco 等 2025 置信度 0.66
• Medium Access for Push-Pull Data Transmission in 6G Wireless Systems
  Medium access in 5G systems was tailored to accommodate diverse traffic classes through network resource slicing. 6G wireless systems are expected to be significantly reliant on Artificial Intelligence (AI), leading to data-driven and goal-oriented communicati…
  datacite Pandey, Shashi Raj, Saggese, Fabio, Shiraishi, Junya, Chiariotti, Federico 等 2025 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Intelligent 6G Edge Connectivity: A Knowledge Driven Optimization Framework for Small Cell Selection
  Sixth-generation (6G) wireless networks are expected to support immersive and mission-critical applications requiring ultra-reliable communication, sub-second responsiveness, and multi-Gbps data rates. Dense small-cell deployments are a key enabler of these ca…
  datacite Bilen, Tuğçe, Akyildiz, Ian F. 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Kraken*: Architecting Generative, Semantic, and Goal-Oriented Network Management for 6G Wireless Systems
  Sixth-generation (6G) wireless networks are expected to support autonomous, immersive, and mission-critical services that require not only extreme data rates and ultra-low latency but also adaptive reasoning, cross-domain coordination, and objective-driven con…
  datacite Akyildiz, Ian F., Bilen, Tuğçe 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• PREreview of "Learning from Radio using Variational Quantum RF Sensing"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18986690. summary: 'Learning from Radio using Variational Quantum RF Sensing by Ivana Nikoloska proposes a variational qu…
  datacite shireesh apte 2026 置信度 0.66
• PREreview of "Learning from Radio using Variational Quantum RF Sensing"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18986690. summary: 'Learning from Radio using Variational Quantum RF Sensing by Ivana Nikoloska proposes a variational qu…
  datacite shireesh apte 2026 置信度 0.66
• Towards Autonomous AI-Driven Network Management in 6G Wireless Systems: A Survey
  Sixth-generation (6G) wireless communication systems are expected to deliver intelligent, pervasive and human-centric connectivity, extending beyond the capabilities of 5G through emerging technologies such as terahertz communications, reconfigurable intellige…
  datacite K S Sharath, Pradeep Kumar K. G. 2026 置信度 0.66 6GAI-native networkingterahertz communicationintelligent surfacesnetwork intelligence
• Towards Autonomous AI-Driven Network Management in 6G Wireless Systems: A Survey
  Sixth-generation (6G) wireless communication systems are expected to deliver intelligent, pervasive and human-centric connectivity, extending beyond the capabilities of 5G through emerging technologies such as terahertz communications, reconfigurable intellige…
  datacite K S Sharath, Pradeep Kumar K. G. 2026 置信度 0.66 6GAI-native networkingterahertz communicationintelligent surfacesnetwork intelligence
• Operating Systems for 6G and Future Networks by G. Navya Sree, P. V. Kishore Kumar, M. V. V. A. L. Sunitha, Radha Krishna Miriyala
  The rapid evolution of communication technologies has significantly transformed the way modern computing and networking systems operate. With the emergence of 6G and next-generation network infrastructures, there is a growing demand for advanced operating syst…
  datacite LIBRO INTERNATIONAL PUBLISHERS 2026 置信度 0.66
• Operating Systems for 6G and Future Networks by G. Navya Sree, P. V. Kishore Kumar, M. V. V. A. L. Sunitha, Radha Krishna Miriyala
  The rapid evolution of communication technologies has significantly transformed the way modern computing and networking systems operate. With the emergence of 6G and next-generation network infrastructures, there is a growing demand for advanced operating syst…
  datacite LIBRO INTERNATIONAL PUBLISHERS 2026 置信度 0.66
• Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G
  The shift toward user-customized on-device learning places new demands on wireless systems: models must be trained on diverse, distributed data while meeting strict latency, bandwidth, and reliability constraints. To address this, we propose an Agentic AI as t…
  datacite Nguyen, Loc X., Yoon, Ji Su, Le, Huy Q., Qiao, Yu 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• RIS Control through the Lens of Stochastic Network Calculus: An O-RAN Framework for Delay-Sensitive 6G Applications
  Reconfigurable Intelligent Surfaces (RIS) enable dynamic electromagnetic control for 6G networks, but existing control schemes lack responsiveness to fast-varying network conditions, limiting their applicability for ultra-reliable low latency communications. T…
  datacite Adamuz-Hinojosa, Oscar, Zanzi, Lanfranco, Sciancalepore, Vincenzo, Di Renzo, Marco 等 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• AI-Enhanced Spatial Cellular Traffic Demand Prediction with Contextual Clustering and Error Correction for 5G/6G Planning
  Accurate spatial prediction of cellular traffic demand is essential for 5G NR capacity planning, network densification, and data-driven 6G planning. Although machine learning can fuse heterogeneous geospatial and socio-economic layers to estimate fine-grained …
  datacite Alkadamani, Mohamad, Brown, Colin, Yanikomeroglu, Halim 2026 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciences
• Propagation and Rate-Aware Cell Switching Optimization in HAPS-Assisted Wireless Networks
  Cell switching is a promising approach for improving energy efficiency in wireless networks; however, existing studies largely rely on simplified models and energy-centric formulations that overlook key performance-limiting factors. This paper revisits the cel…
  datacite Uluçınar, Mehmet Eren, Ersoy, Özgün, Ciloglu, Berk, Ozturk, Metin 等 2026 置信度 0.66 Signal Processing (eess.SP)Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• 6G WIRELESS NETWORK: POTENTIAL ARCHITECTURE AND APPLICATIONS
  datacite National Press Associates 2026 置信度 0.66
• 6G WIRELESS NETWORK: POTENTIAL ARCHITECTURE AND APPLICATIONS
  datacite National Press Associates 2026 置信度 0.66
• F$^4$-CKM: Learning Channel Knowledge Map with Radio Frequency Radiance Field Rendering
  In 6G mobile communications, acquiring accurate and timely channel state information (CSI) becomes increasingly challenging due to the growing antenna array size and bandwidth. To alleviate the CSI feedback burden, the channel knowledge map (CKM) has emerged a…
  datacite Zhou, Kequan, Zhang, Guangyi, Li, Hanlei, Cai, Yunlong 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• 6G Communication: The Future of Ultra-Low Latency Networks
  Abstract The 6G of wireless communication networks is a revolution in wireless communication, which will be able to achieve maximum data rates of 1 Tbps, end-to-end latencies of less than 100 microsecond, and artificial intelligence seamlessly integrated at th…
  datacite Mukesh .K, Mohanapriya .C 2026 置信度 0.66 -6Gterahertz communicationsultra-low latencyreconfigurable intelligent surfacesAI-native networks
• 6G Communication: The Future of Ultra-Low Latency Networks
  Abstract The 6G of wireless communication networks is a revolution in wireless communication, which will be able to achieve maximum data rates of 1 Tbps, end-to-end latencies of less than 100 microsecond, and artificial intelligence seamlessly integrated at th…
  datacite Mukesh .K, Mohanapriya .C 2026 置信度 0.66 -6Gterahertz communicationsultra-low latencyreconfigurable intelligent surfacesAI-native networks
• A Unified Multicarrier Waveform Framework for Next-generation Wireless Networks: Principles, Performance, and Challenges
  Next-generation wireless networks require enhanced flexibility, efficiency, and reliability in physical layer waveform design to address the challenges posed by heterogeneous channel conditions and stringent quality-of-service demands. To this end, this paper …
  datacite Zhang, Xingyao, Yin, Haoran, Tang, Yanqun, Ge, Yao 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
  The upper 6 GHz (U6G) band with XL-MIMO is a key enabler for sixth-generation wireless systems, yet intelligent radiomap prediction for such systems remains challenging. Existing datasets support only small-scale arrays (up to 8x8) with predominantly isotropic…
  datacite Li, Xiaojie, Han, Yu, Lu, Zhizheng, Jin, Shi 等 2026 置信度 0.66 Signal Processing (eess.SP)Machine Learning (cs.LG)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• A Survey on Stacked Intelligent Metasurfaces: Fundamentals, Recent Advances, and Challenges
  Reconfigurable intelligent surfaces (RISs) enable programmable control of wireless propagation. Beyond environmental deployments, integrating metasurfaces at the antenna front end allows direct manipulation of the radiated electromagnetic field and enables wav…
  datacite Sheemar, Chandan Kumar, Khan, Wali Ullah, Solanki, Sourabh, Alexandropoulos, George C. 等 2026 置信度 0.66 Signal Processing (eess.SP)Information Theory (cs.IT)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Quantum Base Stations for 6G Networks: A Systems Engineering Architecture for Geometry–Mediated Quantum–Classical Transduction
  This paper proposes a systems engineering architecture for Quantum Base Stations (QBS) in future 6G networks. The QBS integrates quantum sensing or timing sources into a classical radio access network by means of a geometric energy–flow intermediary and contro…
  datacite Mellor, Victoria 2026 置信度 0.66
• Quantum Base Stations for 6G Networks: A Systems Engineering Architecture for Geometry–Mediated Quantum–Classical Transduction
  This paper proposes a systems engineering architecture for Quantum Base Stations (QBS) in future 6G networks. The QBS integrates quantum sensing or timing sources into a classical radio access network by means of a geometric energy–flow intermediary and contro…
  datacite Mellor, Victoria 2026 置信度 0.66
• Energy-Efficient Resource Management via Hierarchical Reinforcement Learning in O-RAN
  Sixth-generation (6G) wireless networks are expected to meet all the demands of the next decade, a feasibility that is onlypossible with advances in network design and management. This paper first proposes a unified resource management framework for a 6G-based…
  datacite Wang, Shaoxuan, Vardakas, John, Verikoukis, Christos 2026 置信度 0.66 6G network, O-RAN, hierarchical reinforcement learning, scheduling optimization, policy evaluation
• Energy-Efficient Resource Management via Hierarchical Reinforcement Learning in O-RAN
  Sixth-generation (6G) wireless networks are expected to meet all the demands of the next decade, a feasibility that is onlypossible with advances in network design and management. This paper first proposes a unified resource management framework for a 6G-based…
  datacite Wang, Shaoxuan, Vardakas, John, Verikoukis, Christos 2026 置信度 0.66 6G network, O-RAN, hierarchical reinforcement learning, scheduling optimization, policy evaluation
• Selecting Offline Reinforcement Learning Algorithms for Stochastic Network Control
  Offline Reinforcement Learning (RL) is a promising approach for next-generation wireless networks, where online exploration is unsafe and large amounts of operational data can be reused across the model lifecycle. However, the behavior of offline RL algorithms…
  datacite Helson, Nicolas, Alizadeh, Pegah, Giovanidis, Anastasios 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)Performance (cs.PF)Systems and Control (eess.SY)
• Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
  The dynamic allocation of spectrum in 5G / 6G networks is critical to efficient resource utilization. However, applying traditional deep reinforcement learning (DRL) is often infeasible due to its immense sample complexity and the safety risks associated with …
  datacite Giwa, Oluwaseyi, Awodunmila, Tobi, Mohsin, Muhammad Ahmed, Bilal, Ahsan 等 2025 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciences
• Toward Wireless Human-Machine Collaboration in the 6G Era
  The next industrial revolution, Industry 5.0, will be driven by advanced technologies that foster human-machine collaboration (HMC). It will leverage human creativity, judgment, and dexterity with the machine's strength, precision, and speed to improve product…
  datacite Pang, Gaoyang, Liu, Wanchun, Yue, Chentao, Quevedo, Daniel E. 等 2026 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineering
• Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
  The upcoming sixth Generation (6G) of wireless networks envisions ultra-low latency and energy efficient Edge Inference (EI) for diverse Internet of Things (IoT) applications. However, traditional digital hardware for machine learning is power intensive, motiv…
  datacite Stylianopoulos, Kyriakos, Pandolfo, Mario Edoardo, Di Lorenzo, Paolo, Alexandropoulos, George C. 2026 置信度 0.66 Emerging Technologies (cs.ET)Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciences
• Shaping the Future of Mobile Connectivity with 6G
  6G is being designed to bring technical innovations enabling new user experiences that range from immersive communications to mobile Augmented Reality and smarter AI-enabled applications. With a focus on ubiquitous connectivity, 6G innovation will be driven by…
  datacite John Smee, Qualcomm, Senior Vice President of Engineering 2025 置信度 0.66
• Deliverable D2.3 - Reference system, scenarios, use-cases analysis and requirements: final results
  This deliverable builds on previously submitted deliverables D2.1 and D2.2 and presents the final results from 6G-GOALS project for analysis and validation of reference systems, scenarios, use-cases, and requirements for 6G-oriented semantic and goal-oriented …
  datacite 6G-GOALS project 2024 置信度 0.66 6G, AI-native, use-cases validation, multimedia, task-oriented, semantic, network manage-ment, IoT, architecture, orchestration, goal-oriented, semantic management loops, knowledge base, SemComOps.
• Deliverable D2.3 - Reference system, scenarios, use-cases analysis and requirements: final results
  This deliverable builds on previously submitted deliverables D2.1 and D2.2 and presents the final results from 6G-GOALS project for analysis and validation of reference systems, scenarios, use-cases, and requirements for 6G-oriented semantic and goal-oriented …
  datacite 6G-GOALS project 2024 置信度 0.66 6G, AI-native, use-cases validation, multimedia, task-oriented, semantic, network manage-ment, IoT, architecture, orchestration, goal-oriented, semantic management loops, knowledge base, SemComOps.
• Deliverable D2.4 - Functional specifications, metrics and KPIs for 6G-GOALS wireless systems analysis: final results
  This deliverable presents the final outcomes of the 6G-GOALS project’s efforts in defining functional specifications, advanced metrics, and key performance indicators (KPIs) for next-generation 6G wireless systems. As 6G evolves toward semantic-aware and goal-…
  datacite 6G-GOALS project 2025 置信度 0.66 6G Networks, Semantic Communication (SemCom), Goal-Oriented Communication, Key Per-formance Indicators (KPIs), Semantic KPIs, Cumulative Prospect Theory (CPT), Area of Effec-tiveness (AoE), Semantic Distance after Alignment (SDA), Rate-Distortion Efficiency (RDE), To-ken Efficiency Ratio (TEO), Effective Semantic Spectral Efficiency (E-SSE), Joint Source-Channel Coding (JSCC), Age of Information (AoI), Edge Intelligence, Open RAN Enhancements, Semantic Embedding Principle (SEP), Query Age of Information (QAoI), Token Detection Error Rate (TDER), Nonanticipative Rate-Distortion Function (NRDF), Energy-Efficient Semantic Net-works
• Deliverable D2.4 - Functional specifications, metrics and KPIs for 6G-GOALS wireless systems analysis: final results
  This deliverable presents the final outcomes of the 6G-GOALS project’s efforts in defining functional specifications, advanced metrics, and key performance indicators (KPIs) for next-generation 6G wireless systems. As 6G evolves toward semantic-aware and goal-…
  datacite 6G-GOALS project 2025 置信度 0.66 6G Networks, Semantic Communication (SemCom), Goal-Oriented Communication, Key Per-formance Indicators (KPIs), Semantic KPIs, Cumulative Prospect Theory (CPT), Area of Effec-tiveness (AoE), Semantic Distance after Alignment (SDA), Rate-Distortion Efficiency (RDE), To-ken Efficiency Ratio (TEO), Effective Semantic Spectral Efficiency (E-SSE), Joint Source-Channel Coding (JSCC), Age of Information (AoI), Edge Intelligence, Open RAN Enhancements, Semantic Embedding Principle (SEP), Query Age of Information (QAoI), Token Detection Error Rate (TDER), Nonanticipative Rate-Distortion Function (NRDF), Energy-Efficient Semantic Net-works
• PhD Thesis: MAC Protocol Based Energy Efficient Model for Smart Home Area Sensor Network
  Abstract The PhD thesis focuses on a cross-layer energy optimization architecture for Smart Home Area Sensor Networks (SHAN). To increase the lifetime, throughput, and sustainability of the network, the work combines MAC layer scheduling, propagation, aware in…
  datacite Settu, Sivabalan, R, Rathipriya 2026 置信度 0.66 NS-2 Simulation, WSN Modeling, TDMA Protocols, IoT, Energy Optimization, Path Loss Modeling, Bio-Inspired AlgorithmsSmart Home Area NetworkSHANESASE‑TDMA
• PhD Thesis: MAC Protocol Based Energy Efficient Model for Smart Home Area Sensor Network
  Abstract The PhD thesis focuses on a cross-layer energy optimization architecture for Smart Home Area Sensor Networks (SHAN). To increase the lifetime, throughput, and sustainability of the network, the work combines MAC layer scheduling, propagation, aware in…
  datacite Settu, Sivabalan, R, Rathipriya 2026 置信度 0.66 NS-2 Simulation, WSN Modeling, TDMA Protocols, IoT, Energy Optimization, Path Loss Modeling, Bio-Inspired AlgorithmsSmart Home Area NetworkSHANESASE‑TDMA
• Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer Intelligence
  As 6G wireless systems evolve, growing functional complexity and diverse service demands are driving a shift from rule-based control to intent-driven autonomous intelligence. User requirements are no longer captured by a single metric (e.g., throughput or reli…
  datacite Li, Zhaoyang, Jin, Xingzhi, Pan, Junyu, Yang, Qianqian 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Statistical and deep learning model for volatility forecasting of Bitcoin in real time in 6G network
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• 6G Systems
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• A Wideband 1-Bit Guided Wave Reconfigurable Intelligent Surface for Future 6G Wireless Network
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• High gain Antenna Design for 6G wireless Applications
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• Toward Enabling Network Slice Mobility to Support 6G System
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• Nine Challenges in Artificial Intelligence and Wireless Communications for 6G
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• New Features for 6G Network Architecture Design
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• Quantum Aware Evolutionary Intelligence for Resilient 6G Network Optimization in Dense Wireless Systems
  crossref Hariprasath Manoharan, R. Ranjana 2026-01-22T09:43:41Z 置信度 0.70
• Material Reflection Measurements in Centimeter and Millimeter Wave ranges for 6G Wireless Communications
  crossref Mohamed Abdelbasset Aliouane, Jean-Marc Conrat, Jean-Christophe Cousin, Xavier Begaud 2022-07-08T19:33:57Z 置信度 0.70
• Improved GPR-Based CSI Acquisition via Spatial-Correlation Kernel
  crossref Syed Luqman Shah, Nurul Huda Mahmood, Italo Atzeni 2026-06-18T20:11:23Z 置信度 0.70
• Semantic Communication-Enabled Multi-Access Edge Computing Network Resource Optimization in the 6G Era
  crossref Ming Yan, Haorong Guo, Chien Aun Chan, André F. Gygax 等 2025-09-18T17:48:14Z 置信度 0.70
• A Comprehensive Overview of Security and Privacy in the 6G Era
  crossref Shakila Zaman, Faisal Tariq, Muhammad Khandaker, Risala T Khan 2023-05-12T15:54:40Z 置信度 0.70
• A Survey For Integrating FAS, RIS, and Hybrid NOMA-MEC In 6G Wireless Network
  crossref Kiet Nguyen Tuan Tran, Huy Dang Mac, Tung Son Do, Sungrae Cho 2026-08-06T19:17:53Z 置信度 0.70
• A brief survey on 6G communications
  crossref S. Rajoria, Keshav Mishra 2022-06-12T15:02:15Z 置信度 0.70
• 6G Enabling Technologies
  crossref Michele Polese, Marco Giordani, Marco Mezzavilla, Sundeep Rangan 等 2021-08-24T05:04:02Z 置信度 0.70
• Energy-Efficient Traffic Prediction for Green 6G Networks Using a Shallow Neural Network
  crossref D. Kiruthika, N. Vinothini, R. Tharaniya, B. Mukilan 等 2026-04-29T19:46:17Z 置信度 0.70
• 6G network architecture
  crossref Wolfgang Kellerer, Carmen Mas-Machuca, Fidan Mehmeti, Maria Samonaki 等 2026-02-13T09:46:04Z 置信度 0.70
• Index
  crossref 2022-11-25T21:53:44Z 置信度 0.70
• Towards 6G Sidelink: Distributed Scheduling and Routing for Reliable Multi-Hop Connectivity
  crossref Saleh Nikooroo, Juan Estrada-Jimenez, Aurel Machalek, Jérôme Härri 等 2026-05-08T19:36:34Z 置信度 0.70
• Blockchain-Enabled Network for 6G Wireless Communication Systems
  crossref Nazanin Moosavi, Hamed Taherdoost 2023-02-03T15:04:21Z 置信度 0.70
• Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
  crossref Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-Aho 2020-05-05T00:49:31Z 置信度 0.70
• Network reconfiguration and management in 6G telecommunication networks
  Reconfiguration et gestion des réseaux de télécommunication 6G Les réseaux de télécommunication de cinquième génération (5G) promettent des améliorations majeures en connectivité, avec des débits élevés, des communications ultra-fiables à faible latence (URLLC…
  crossref Theodoros Tsourdinis 2026-04-09T09:28:36Z 置信度 0.70
• Preparing for the 2G/3G Sunset: Core Network Challenges and Adaptation Strategies for OPEX and CAPEX Efficiency in the 5G/6G Era
  crossref Muhammad Rashid Anwar, Rabi Iqbal Rana 2026-07-03T19:49:45Z 置信度 0.70
• Ai-Based Channel Modeling and Prediction For 5g/6g Wireless Links
  The increasing complexity of fifth-generation (5G) and emerging sixth-generation (6G) wireless systems has intensified the need for accurate and adaptive channel modeling and prediction techniques. Conventional model-driven approaches struggle to capture the h…
  crossref Ardad Kunal Kalyan, Paikrao Yash Milind, Sawalkar Umesh Suresh 2026-03-19T11:26:08Z 置信度 0.70
• Preface
  crossref Xianzhong Xie, Bo Rong, Michel Kadoch 2021-05-31T11:12:01Z 置信度 0.70
• Wild Applications
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• D-Band and Terahertz Frontends for 6G Wireless Communications in SiGe BiCMOS Technologies
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• On the Optimization of Integrated Terrestrial-Air-Underwater Architecture Using Optical Wireless Communication for Future 6G Network
  crossref Priyanka Singh, Vivek Ashok Bohara, Anand Srivastava 2022-09-29T19:40:03Z 置信度 0.70
• Optimizing spectral efficiency through user clustering in user-centric cell-free massive MIMO environment for 6G wireless network
  crossref Pooya Hejazi, Masoud Sabaei 2026-01-06T18:36:13Z 置信度 0.70
• Edge AI
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• AI and blockchain for secure 6G wireless communications
  crossref Evangelia Konstantopoulou, Gurjot Singh Gaba, Nicolas Sklavos 2026-07-24T08:25:25Z 置信度 0.70
• WiDM-LLM: Wireless Decision-Making with Large Language Models for 6G Communication Systems
  The integration of large language models (LLMs) into wireless communication decision-making has emerged as a promising direction for addressing the complexity, heterogeneity, and dynamism of future 6G networks. However, three fundamental bottlenecks hinder pra…
  crossref Pimchanok Srisuk 2026-08-06T05:03:28Z 置信度 0.70
• Keynote Talk #2: 6G Wireless: Wireless Networks Empowered by Reconfigurable Intelligent Surfaces
  crossref Marco Di Renzo 2020-03-10T06:00:41Z 置信度 0.70
• 6G Green IoT Network: Joint Design of Intelligent Reflective Surface and Ambient Backscatter Communication
  Ambient backscatter communication (AmBC) is one of the candidate solutions for the 6G green internet of things (IoT) network. However, the uncontrollability of the radio frequency (RF) environment is one of the main obstacles hindering the popularization of Am…
  crossref Qiang Liu, Songlin Sun, Heng Wang, Shaowei Zhang 2021-06-22T20:05:09Z 置信度 0.70