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• Underwater Invisible Light Communication Network with Beam Steering Technology for Dynamic Switching Between Aerial and Underwater Optical Paths.
  europepmc 2025 置信度 0.80
• Progressive Pattern Interleaver with Multi-Carrier Modulation Schemes and Iterative Multi-User Detection in IoT 6G Environments with Multipath Channels.
  europepmc 2024 置信度 0.80
• Multiple HAPS-based space-air-ground network with FSO communication: a performance analysis.
  Due to the fact that the existing generation of wireless communication cannot possibly keep up with the current traffic explosion and emerging applications, research and development on next-generation (i.e., sixth generation, 6G) wireless technologies is …
  pubmed Singh D, Swaminathan R, Pham AT 2024 置信度 0.82
• A Survey of PAPR Techniques Based on Machine Learning.
  Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it will likely be essential to Sixth Generation (6G) wireless communication systems. How…
  pubmed da Silva BSC, Souto VDP, Souza RD, Mendes LL 2024 置信度 0.82
• Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels.
  europepmc 2024 置信度 0.80
• ML-driven latency optimization for mobile edge computing in fiber-wireless access networks.
  europepmc 2025 置信度 0.80
• Triboelectric Nanogenerators in Military: Recent Progress and Critical Challenges.
  europepmc 2026 置信度 0.80
• TransNeural: An Enhanced-Transformer-Based Performance Pre-Validation Model for Split Learning Tasks.
  europepmc 2024 置信度 0.80
• 6G in medical robotics: development of network allocation strategies for a telerobotic examination system.
  europepmc 2025 置信度 0.80
• An ultra-compact and high isolated 8 × 8 MIMO antenna system for 5G NR-n46 and n79 band applications.
  europepmc 2026 置信度 0.80
• RIS-Aided coexistence in wireless networks using angular information.
  europepmc 2024 置信度 0.80
• Flora and fauna: how nonhuman species interact with natural and man-made EMF at ecosystem levels and public policy recommendations.
  europepmc 2025 置信度 0.80
• Beam management for millimeter-wave mobile communications based on digital twin-enabled scenario cognition.
  europepmc 2025 置信度 0.80
• Beyond Fiber: Toward Terahertz Bandwidth in Free-Space Optical Communication.
  europepmc 2025 置信度 0.80
• Precision Farming with Smart Sensors: Current State, Challenges and Future Outlook.
  The agricultural sector, a vital industry for human survival and a primary source of food and raw materials, faces increasing pressure due to global population growth and environmental strains. Productivity, efficiency, and sustainability constraints are preve…
  europepmc 2026 置信度 0.80
• Information Theory in Emerging Wireless Communication Systems and Networks.
  europepmc 2024 置信度 0.80
• Seamlessly merging radar ranging and imaging, wireless communications, and spectrum sensing for 6G empowered by microwave photonics.
  europepmc 2024 置信度 0.80
• Advanced channel estimation in OTFS and NOMA using deep bayesian gaussian processes and compressive sensing.
  europepmc 2026 置信度 0.80
• Ergodic secrecy rate and outage probability in NOMA IRS massive MIMO networks with jamming.
  europepmc 2025 置信度 0.80
• Human Skin Model From 15 GHz to 110 GHz.
  europepmc 2025 置信度 0.80
• Ultrabroadband on-chip photonics for full-spectrum wireless communications.
  europepmc 2025 置信度 0.80
• Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques Leveraging Network Observability.
  europepmc 2025 置信度 0.80
• Statistics of the Sum of Double Random Variables and Their Applications in Performance Analysis and Optimization of Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multi-Access Systems.
  europepmc 2024 置信度 0.80
• Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR.
  europepmc 2025 置信度 0.80
• An African vulture optimization algorithm based energy efficient clustering scheme in wireless sensor networks.
  europepmc 2024 置信度 0.80
• Integrating Wi-Fi, Li-Fi, and BPL Technologies for a Secure Indoor Communication System.
  europepmc 2024 置信度 0.80
• Frequency comb measurements for 6G terahertz nano/microphotonics and metamaterials.
  europepmc 2024 置信度 0.80
• Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning.
  europepmc 2024 置信度 0.80
• 5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power.
  europepmc 2026 置信度 0.80
• Cross-Modal Graph Semantic Communication Assisted by Generative AI in the Metaverse for 6G.
  Recently, the development of the Metaverse has become a frontier spotlight, which is an important demonstration of the integration innovation of advanced technologies in the Internet. Moreover, artificial intelligence (AI) and 6G communications will be widely …
  pubmed Chen M, Liu M, Wang C, Song X 等 2024 置信度 0.82
• Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping.
  europepmc 2024 置信度 0.80
• Sustainable cyber-physical VANETs with AI-driven anomaly detection and energy-efficient multi-criteria routing using machine learning algorithms.
  europepmc 2025 置信度 0.80
• Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT)
  Abstract The integration of 6G technology into the Industrial Internet of Things (IIoT) promises to redefine manufacturing through "Hyper-Reliable Low-Latency Communication" (HRLLC). However, the deployment of complex Machine Learning (ML) models at the edge r…
  datacite Seema Patil, Harshavardhana Doddamani, Savitha A C, Julianne Rivers 2026 置信度 0.66 6G Networks, Industrial IoT (IIoT), Edge Intelligence, Deep Reinforcement Learning, Latency Optimization
• Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT)
  Abstract The integration of 6G technology into the Industrial Internet of Things (IIoT) promises to redefine manufacturing through "Hyper-Reliable Low-Latency Communication" (HRLLC). However, the deployment of complex Machine Learning (ML) models at the edge r…
  datacite Seema Patil, Harshavardhana Doddamani, Savitha A C, Julianne Rivers 2026 置信度 0.66 6G Networks, Industrial IoT (IIoT), Edge Intelligence, Deep Reinforcement Learning, Latency Optimization
• Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
  In the diverse landscape of 6G networks, where wireless connectivity demands surge and spectrum resources remain limited, flexible spectrum access becomes paramount. The success of crafting such schemes hinges on our ability to accurately characterize spectrum…
  datacite Alkadamani, Mohamad, Ghasemi, Amir, Yanikomeroglu, Halim 2026 置信度 0.66 Systems and Control (eess.SY)Artificial Intelligence (cs.AI)Networking and Internet Architecture (cs.NI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• A Scientometric Analysis of Research Trends in IEEE Communications Surveys and Tutorials: A Decade Review (2015–2024)
  This study presents a scientometric analysis of research trends published in IEEE Communications Surveys and Tutorials during the period 2015–2024. The analysis examines publication growth, citation patterns, authorship trends, collaborative networks, and emer…
  datacite Gavli, D. J. 2026 置信度 0.66 Scientometrics, Citation Analysis, Research Trends, IEEE Communications Surveys and Tutorials, Bibliometric Analysis, Communication Technology, 5G/6G Networks, Internet of Things (IoT), Network Security, Artificial Intelligence, Scholarly Impact, Research Collaboration.
• A Scientometric Analysis of Research Trends in IEEE Communications Surveys and Tutorials: A Decade Review (2015–2024)
  This study presents a scientometric analysis of research trends published in IEEE Communications Surveys and Tutorials during the period 2015–2024. The analysis examines publication growth, citation patterns, authorship trends, collaborative networks, and emer…
  datacite Gavli, D. J. 2026 置信度 0.66 Scientometrics, Citation Analysis, Research Trends, IEEE Communications Surveys and Tutorials, Bibliometric Analysis, Communication Technology, 5G/6G Networks, Internet of Things (IoT), Network Security, Artificial Intelligence, Scholarly Impact, Research Collaboration.
• Délais d'obtention des licences télécoms en Europe
  Délais d'obtention des licences télécoms en Europe Opérateurs mobiles et réseaux fibre optique Étude comparative pays par pays - 2025 Métadonnées du jeu de données Auteur Bisatel Telecom Date de publication Novembre 2025 Type de ressource Jeu de données / Data…
  datacite 1.0 Acola Bisatel Telecom 2025 置信度 0.66 TelecommunicationTelecommunicationsTelecommunications/economicsTelecommunications/organization & administrationTelecommunications/statistics & numerical data
• Délais d'obtention des licences télécoms en Europe
  Délais d'obtention des licences télécoms en Europe Opérateurs mobiles et réseaux fibre optique Étude comparative pays par pays - 2025 Métadonnées du jeu de données Auteur Bisatel Telecom Date de publication Novembre 2025 Type de ressource Jeu de données / Data…
  datacite 1.0 Acola Bisatel Telecom 2025 置信度 0.66 TelecommunicationTelecommunicationsTelecommunications/economicsTelecommunications/organization & administrationTelecommunications/statistics & numerical data
• AREA/POWER-EFFICIENT POWER AMPLIFIERS FOR MM-WAVE 5G AND TRUE-TIME DELAY BASED MM-WAVE BEAMFORMING TRANSCEIVERS
  The global mobile network data traffic has reached 145EB(145 × 1018B) per month in the first quarter of 2024 and compared to the first quarter of 2023 there is a 25% increase[1]. The 5th generation mobile communication standard is the current solution to this …
  datacite Mokri, Mohammad Ali 2024 置信度 0.66 5G6GBeamformingCMOSmm-wave
• Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning
  The development of 6G/B5G wireless networks, which have requirements that go beyond current 5G networks, is gaining interest from academia and industry. However, to increase 6G/B5G network quality, conventional cellular networks that rely on terrestrial base s…
  datacite Park, Yu Min, Tun, Yan Kyaw, Hong, Choong Seon 2023 置信度 0.66 Information Theory (cs.IT)Artificial Intelligence (cs.AI)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Evaluation of Spectrum Sharing Algorithms for Networks with Heterogeneous Wireless Devices
  As highlighted in the National Spectrum Strategy, Dynamic Spectrum Access (DSA) is key for enabling 6G networks to meet the increasing demand for spectrum from various, heterogeneous emerging applications. In this paper, we consider heterogeneous wireless netw…
  datacite Walishetti, Ankit, Kadota, Igor, Kim, Aidan, Ward, Colin 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Survey on Integrated Sensing, Communication, and Computation
  The forthcoming generation of wireless technology, 6G, aims to usher in an era of ubiquitous intelligent services, where everything is interconnected and intelligent. This vision requires the seamless integration of three fundamental modules: Sensing for infor…
  datacite Wen, Dingzhu, Zhou, Yong, Li, Xiaoyang, Shi, Yuanming 等 2024 置信度 0.66 Information Theory (cs.IT)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciences
• Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios
  In recent years, the fifth-generation (5G) mobile network has been developed worldwide to remarkably improve network performance and spectral efficiency. Very recently, reconfigurable intelligent surfaces (RISs) technology has emerged as an innovative solution…
  datacite Farré, Valdemar, Estrada-Jiménez, Juan C., Sánchez, José D. Vega, Vasquez-Peralvo, Juan A. 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks
  The effective distribution of user transmit powers is essential for the significant advancements that the emergence of 6G wireless networks brings. In recent studies, Deep Neural Networks (DNNs) have been employed to address this challenge. However, these meth…
  datacite Shokrnezhad, Masoud, Mazandarani, Hamidreza, Taleb, Tarik 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)Emerging Technologies (cs.ET)Machine Learning (cs.LG)Numerical Analysis (math.NA)
• Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges
  Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techniques in co…
  datacite Jagatheesaperumal, Senthil Kumar, Ahmad, Ijaz, Höyhtyä, Marko, Khan, Suleman 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Machine Learning (cs.LG)FOS: Computer and information sciencesI.2.8; H.3.3; D.2.8; D.3.5; H.3.568T07, 90B18
• AraSync: Precision Time Synchronization in Rural Wireless Living Lab
  Time synchronization is a critical component in network operation and management, and it is also required by Ultra-Reliable, Low-Latency Communications (URLLC) in next-generation wireless systems such as those of 5G, 6G, and Open RAN. In this context, we desig…
  datacite Nadim, Md, Islam, Taimoor Ul, Reddy, Salil, Zhang, Tianyi 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Performance (cs.PF)FOS: Computer and information sciencesFOS: Computer and information sciences
• Demo: Testing AI-driven MAC Learning in Autonomic Networks
  6G networks will be highly dynamic, re-configurable, and resilient. To enable and support such features, employing AI has been suggested. Integrating AIin networks will likely require distributed AI deployments with resilient connectivity, e.g., for communicat…
  datacite Paeleke, Leonard, Keshtiarast, Navid, Seehofer, Paul, Bless, Roland 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Heterogeneous Graph Neural Network for Cooperative ISAC Beamforming in Cell-Free MIMO Systems
  Integrated sensing and communication (ISAC) is one of the usage scenarios for the sixth generation (6G) wireless networks. In this paper, we study cooperative ISAC in cell-free multiple-input multiple-output (MIMO) systems, where multiple MIMO access points (A…
  datacite Wang, Zihuan, Wong, Vincent W. S. 2024 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Digital Twin for O-RAN Towards 6G
  In future wireless systems of beyond 5G and 6G, addressing diverse applications with varying quality requirements is essential. Open Radio Access Network (O-RAN) architectures offer the potential for dynamic resource adaptation based on traffic demands. Howeve…
  datacite Nguyen, Huan X., Sun, Kexuan, To, Duc, Vien, Quoc-Tuan 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Emerging Technologies (cs.ET)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciences
• Energy Saving in 6G O-RAN Using DQN-based xApp
  Open Radio Access Network (RAN) is a transformative paradigm that supports openness, interoperability, and intelligence, with the O-RAN architecture being the most recognized framework in academia and industry. In the context of Open RAN, the importance of Ene…
  datacite Wang, Qiao, Chetty, Swarna, Al-Tahmeesschi, Ahmed, Liang, Xuanyu 等 2024 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
  We develop a graph neural network (GNN) to compute, within a time budget of 1 to 2 milliseconds required by practical systems, the optimal linear precoder (OLP) maximizing the minimal downlink user data rate for a Cell-Free Massive MIMO system - a key 6G wirel…
  datacite Parlier, Benjamin, Salaün, Lou, Yang, Hong 2024 置信度 0.66 Signal Processing (eess.SP)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
  The convergence of communication and computation, along with the integration of machine learning and artificial intelligence, stand as key empowering pillars for the sixth-generation of communication systems (6G). This paper considers a network of one base sta…
  datacite Reifert, Robert-Jeron, Dahrouj, Hayssam, Ahmad, Alaa Alameer, Gacanin, Haris 等 2024 置信度 0.66 Information Theory (cs.IT)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
  An introduction of intelligent interconnectivity for people and things has posed higher demands and more challenges for sixth-generation (6G) networks, such as high spectral efficiency and energy efficiency, ultra-low latency, and ultra-high reliability. Cell-…
  datacite Shi, Enyu, Zhang, Jiayi, Du, Hongyang, Ai, Bo 等 2023 置信度 0.66 Information Theory (cs.IT)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• 6G Architecture for Enabling Predictable, Reliable and Deterministic Networks: the PREDICT6G Case
  The PREDICT-6G framework, a novel 6G network architecture aiming to provide reliable, predictable, and time sensitive networking across diverse applications, integrates a multi-technology, multi-domain network infrastructure, creating a homogeneous and determi…
  datacite Rico, David, Szilagyi, Peter, Contreras Murillo, Luis Miguel, Giardina, Pietro 等 2024 置信度 0.66
• 6G Architecture for Enabling Predictable, Reliable and Deterministic Networks: the PREDICT6G Case
  The PREDICT-6G framework, a novel 6G network architecture aiming to provide reliable, predictable, and time sensitive networking across diverse applications, integrates a multi-technology, multi-domain network infrastructure, creating a homogeneous and determi…
  datacite Rico, David, Szilagyi, Peter, Contreras Murillo, Luis Miguel, Giardina, Pietro 等 2024 置信度 0.66
• A Hybrid Joint Source-Channel Coding Scheme for Mobile Multi-hop Networks
  We propose a novel hybrid joint source-channel coding (JSCC) scheme for robust image transmission over multi-hop networks. In the considered scenario, a mobile user wants to deliver an image to its destination over a mobile cellular network. We assume a practi…
  datacite Bian, Chenghong, Shao, Yulin, Gunduz, Deniz 2023 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting
  Deep Neural Network (DNN) splitting is one of the key enablers of edge Artificial Intelligence (AI), as it allows end users to pre-process data and offload part of the computational burden to nearby Edge Cloud Servers (ECSs). This opens new opportunities and d…
  datacite Binucci, Francesco, Merluzzi, Mattia, Banelli, Paolo, Strinati, Emilio Calvanese 等 2023 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Hierarchical Cell-Free Massive MIMO for High Capacity with Simple Implementation
  Cell-free massive multi-input multi-output (MIMO) has recently gained much attention for its potential in shaping the landscape of sixth-generation (6G) wireless systems. This paper proposes a hierarchical network architecture tailored for cell-free massive MI…
  datacite Jiang, Wei, Schotten, Hans D. 2024 置信度 0.66 Information Theory (cs.IT)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• AI-enabled Priority and Auction-Based Spectrum Management for 6G
  In this paper, we present a quality of service (QoS)-aware priority-based spectrum management scheme to guarantee the minimum required bit rate of vertical sector players (VSPs) in the 5G and beyond generation, including the 6th generation (6G). VSPs are consi…
  datacite Khadem, Mina, Zeinali, Farshad, Mokari, Nader, Saeedi, Hamid 2024 置信度 0.66 Systems and Control (eess.SY)Networking and Internet Architecture (cs.NI)Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• A Futuristic Optical and Wireless Convergence Network Towards 6G and Beyond
  crossref Mlungisi Molefe, Khulekani Sibiya, Bakhe Nleya 2024-10-08T17:33:15Z 置信度 0.70
• Toward 6G technology: Intent-Driven Autonomous Intelligent Wireless Communication Network
  crossref Jiajun Chen, Yin Gao, Yansheng Liu, Dapeng Li 等 2025-08-12T17:51:39Z 置信度 0.70
• Research Issues and Challenges in AI-Embedded 6G Network Architecture
  crossref Anirban Khara, Iqra Javid, Sibaram Khara, Ramjee Prasad 2025-02-07T18:38:05Z 置信度 0.70
• Optimizing spectrum efficiency in 6G multi-UAV networks through source correlation exploitation
  Abstract In the context of 6G and 5G communication networks, particularly in disaster-stricken areas with a surging demand for connectivity and the rapid evolution of the internet of everything (IoE), the imperative for augmenting spectrum efficiency in unmann…
  crossref Mohammad Alnakhli 2024-01-17T22:02:47Z 置信度 0.70
• 6G technologies
  crossref Jain Manish 2024-09-30T20:45:42Z 置信度 0.70
• Space-Time Chaos Filtering for the Incoherent Paradigm for 6G Wireless System Design from Theoretic Perspective
  crossref Valeri Kontorovich 2024-07-31T03:58:32Z 置信度 0.70
• Knowledge-Defined Networking
  crossref Jianxin Liao, Bo He, Jing Wang, Jingyu Wang 等 2024-09-25T21:04:19Z 置信度 0.70
• Predicting and Classifying Ofdm Modulated Signals for 6G Wireless Network
  crossref Sannad Bilal, Muhammad Farrukh Shahid, Zuhaib Ashfaq Khan 2025-08-25T20:14:19Z 置信度 0.70
• Moving towards 6G Wireless Technologies
  crossref 2025-07-25T07:25:15Z 置信度 0.70
• Sustainable 6G communication
  crossref Gaurav Bhargava, Shubhankar Majumdar 2024-09-30T20:45:42Z 置信度 0.70
• Recent Activities on New Radio Network Topology for 5G Evolution and 6G
  crossref Satoshi Suyama, Masashi Iwabuchi, Kenta Goto, Kiichi Tateishi 等 2024-09-19T17:22:57Z 置信度 0.70
• Towards Wireless Heterogeneity in 6G Networks
  crossref Abraham George, G Ramana Murthy 2024-01-30T17:44:21Z 置信度 0.70
• Revaluation towards 6G
  crossref Krupa Purohit, Rucha Patel 2024-09-30T20:45:42Z 置信度 0.70
• High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era
  crossref Tailai Song, David Lopez, Michela Meo, Nicola Piovesan 等 2024-07-03T17:25:49Z 置信度 0.70
• 6G-enabled Situation-Aware ML-assisted UTM (6G-SAMU)
  crossref Bayrem Zarai, Leïla Nasraoui, Rihab Boussada, Saadi Boudjit 2024-07-17T17:18:34Z 置信度 0.70
• 6G/5G Cellular Networks Empowering Wireless Technologies
  crossref M. Aathira, P. Riashree, M. Saumiya, G. Ananthi 等 2024-04-16T18:48:06Z 置信度 0.70
• Energy-Efficient Communication Protocols for 6G Wireless Sensor Network
  crossref K. Leela Ranganayagi, S Praveen Kumar, D Lingaraja, T Aravind 等 2024-05-28T17:40:47Z 置信度 0.70
• Smart contract implementation on network sharing for 6G wireless networks
  crossref Vuppula Roopa, Himansu Shekhar Pradhan 2024-01-08T09:02:03Z 置信度 0.70
• Technologies for Service Capability Collaboration Interconnection
  crossref Jianxin Liao, Bo He, Jing Wang, Jingyu Wang 等 2024-09-25T21:07:25Z 置信度 0.70
• Remote Music Learning Based on Wireless Sensors Supporting 6G and CPS
  crossref Xuelinzi Bai 2024-05-17T02:01:41Z 置信度 0.70
• Trustworthy Autonomous All-Domain Access Control Technology
  crossref Jianxin Liao, Bo He, Jing Wang, Jingyu Wang 等 2024-09-25T21:04:19Z 置信度 0.70
• Digital Twin in 6G: Embracing Comprehensive Network Intelligence
  crossref Jinkai Zheng, Tom H. Luan, Yao Zhang, Guanjie Li 等 2024-08-16T13:28:49Z 置信度 0.70
• Massive IoT access through 6G
  crossref Rucha Patel, Krupa Purohit 2024-09-30T20:45:42Z 置信度 0.70
• Exploring Toroidal Link in Honeycomb Mesh Network Using Genetic Algorithm
  crossref Neetu Faujdar, Reeya Agrawal, Akash Punhani 2024-04-16T18:48:06Z 置信度 0.70
• 6G assisted federated learning for continuous monitoring in wireless sensor network using game theory
  crossref S. Phani Praveen, Mohammed Hasan Ali, Muhammad Aslam Jarwar, Chander Prakash 等 2023-02-16T11:02:31Z 置信度 0.70
• Design systematic wireless inventory trackers with prolonged lifetime and low energy consumption in future 6G network
  crossref N. Meenakshi, Mustafa Musa Jaber, Rahul Pradhan, M. M. Kamruzzaman 等 2023-05-11T09:32:36Z 置信度 0.70
• <scp>RETRACTION</scp> : Affirmative Data Analytics Based Data Processing Method for <scp>6G</scp> Wireless Network Applications
  RETRACTION : M. Jarrah , A. Abu‐Khadrah , H. Alrababah , A. S. B. M. Jaya , and Z. N. M. Alqattan , “,” Trans Emerg Telecommun Technol (Early View): doi: 10.1002/ett.4583 . The above article, published online on 21 June 2022 in Wiley Online Library ( wileyonli…
  crossref 2024-10-09T03:09:56Z 置信度 0.70
• AI-based wireless channel prediction for 6G
  crossref Avishek Bhattacharjee 2024-08-27T21:13:38Z 置信度 0.70
• Cognitive radios
  crossref N. Chitra Kiran 2024-01-30T17:44:21Z 置信度 0.70
• Intelligent Allocation Technologies for All-Scenario KDN Resources
  crossref Jianxin Liao, Bo He, Jing Wang, Jingyu Wang 等 2024-09-25T21:04:19Z 置信度 0.70
• Artificial intelligence-based energy efficiency models in green communications towards 6G
  crossref Neelapala Anil Kumar, Ravuri Daniel 2024-01-30T17:44:21Z 置信度 0.70
• Dynamic base station allocation for 6G wireless networks through narrow neural network
  The 6G wireless communication system will utilize the terahertz (THz) frequency band (0.1-10 THz) to meet customer demand for increased data rates and ultra-high-speed communication in future applications. The exponential surge in data traffic, which is suppor…
  crossref Pradnya Kamble, Alam N. Shaikh 2024-04-05T16:27:31Z 置信度 0.70
• Integrating 6G Wireless Communication with Spectral Analysis Technology for Object Detection
  crossref Xu Wang, Mingyue Ma 2024-06-03T08:01:59Z 置信度 0.70
• Centralized traffic engineering
  crossref M. W. Hussain 2024-01-30T17:44:21Z 置信度 0.70
• 6G communication challenges
  crossref Palakshi Sinha, Manivel Kandasamy, Raju Shanmugam, P. Nageswari 2024-09-30T20:45:42Z 置信度 0.70
• Next-Generation Wireless Standards: 6G and Beyond
  6G, the future- mobile system, is designed to overcome the issues seen in the former networks. It is intended for use in applications like Virtual Reality, Brain Computer-Wireless Interference Actions and Autonomous Driving Vehicles that require high data spee…
  crossref Monica Gupta, V. Gayathri, Monica Bhutani 2024-05-06T07:30:11Z 置信度 0.70
• All-Scenario On-Demand Service Management and Control System
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