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• Artificial Intelligence and Machine Learning Frameworks for Advanced Wireless Networks
  The rapid evolution of wireless communication technologies, particularly with the advent of 5G and the anticipated 6G networks, has brought forth new challenges in network management, security, and performance optimization. Artificial Intelligence (AI) and Mac…
  crossref Deshpande Asmita Sumant, Puri Supriya Anil 2026-03-19T11:26:08Z 置信度 0.70
• Signal processing techniques for 6G wireless networks: potential applications, trends, and challenges
  crossref Vineetha Mathai, Merin Philip, Salga Ann Jacob 2026-03-14T01:22:55Z 置信度 0.70
• A Lightweight Low-Complexity CSI Feedback Network for 6G Massive MIMO Systems
  crossref YuJia Sun 2026-08-26T19:08:27Z 置信度 0.70
• RIS-Assisted Joint Resource Allocation for 6G FR3 IoT Networks
  crossref Muddasir Rahim, Irfan Azam, Soumaya Cherkaoui 2026-07-03T19:49:45Z 置信度 0.70
• NEXA-NET: Advancing Knowledge-Driven Autonomy in AI-Native 6G and Beyond Wireless Networks
  crossref Marco Sousa, Thaína Saraiva, Luís Mata, Madalena Cilínio 等 2026-03-23T20:11:33Z 置信度 0.70
• The post-electromagnetic era: A vision for wireless communication beyond 6G
  crossref Shumaila Javaid, Nasir Saeed 2026-02-11T16:58:04Z 置信度 0.70
• Exploiting Cross-KPI Confidence Patterns to Expand Automation Scope in 5G Network Management
  crossref Joss Armstrong, Sheila Fallon, Enda Fallon 2026-07-01T19:34:25Z 置信度 0.70
• Practical IRS-Assisted 6G Wireless Communications: Tight Ergodic Capacity Approximations with Coupling and Amplitude-Phase Distortion
  crossref Md Sarfraz Alam, Ganesh Prasad, Deepak Mishra, Abhishek Mondal 等 2026-01-22T14:32:08Z 置信度 0.70
• AI-Native Self-Optimizing Architectures for Ultra-Reliable 6G Wireless Networks
  crossref 2026-03-26T12:34:08Z 置信度 0.70
• Wireless Sensor Networks, Internet of Things, and Energy Harvesting
  crossref Ke-Lin Du, M. N. S. Swamy 2026-06-22T21:48:00Z 置信度 0.70
• Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
  crossref Oluwaseyi Giwa, Jonathan Shock, Jaco Du Toit, Tobi Awodumila 2026-07-01T19:34:25Z 置信度 0.70
• Digital twin technology for 6G network
  crossref Xavi Masip-Bruin, Fabrizio Granelli, Cristina Costa 2026-06-12T10:46:28Z 置信度 0.70
• AI-Native Handover for 6G Satellite-Terrestrial Integrated Networks
  crossref Murat Parlakisik, Ertan Ozturk 2026-08-13T19:17:58Z 置信度 0.70
• Inverse Learning Assisted V2I Communication for Intent Based 6G ISAC Vehicular Networks
  crossref Anoop C V, Anup Aprem 2026-06-16T19:41:29Z 置信度 0.70
• Localization-Based Beam Focusing in Near-Field Communications
  crossref Nima Mozaffarikhosravi, Prathapasinghe Dharmawansa, Italo Atzeni 2025-11-28T18:43:41Z 置信度 0.70
• Intelligent Semantic Agents Empowered Internet of Vehicles Towards 6G
  crossref Haotong Cao, Miao Liu, Kuljeet Kaur, Mohsen Guizani 等 2026-07-15T20:16:00Z 置信度 0.70
• PRACH Preamble Design for 6G Wireless Systems
  crossref Fan Zhang, Hanyu Liu, Zihan Liu, Tianqi Mao 等 2026-06-17T19:37:14Z 置信度 0.70
• Blockchain and Federated Learning for Decentralized AI in Wireless Antenna Systems
  The rapid evolution of autonomous vehicles (AVs) and unmanned aerial vehicles (UAVs) has highlighted the need for advanced communication systems capable of supporting high-speed, low-latency, and reliable data exchange. Traditional communication solutions face…
  crossref R Sundar, Padma Madham, P Sumathi 2026-03-19T11:26:08Z 置信度 0.70
• SMART-LEA: Scalable Multipath-Aware Localization Enhancement for IoT and 6G Sensor Networks
  crossref Majdi Abdmoulah, Eckehard Steinbach 2026-07-03T19:49:45Z 置信度 0.70
• AI-Enhanced Self-Optimizing Networks (SON) for Next-Generation 5G/6G Architectures
  crossref Saurabh Hitendra Patel 2026-07-06T19:42:32Z 置信度 0.70
• Distributed Deep Reinforcement Learning Enabled Spectrum and Resource Allocation in 6G Wireless Networks
  crossref Sreya Ghosh, Sudipta Dey, Arijeet Ghosh 2026-06-15T10:44:32Z 置信度 0.70
• Federated Deep Learning-Based Self-Healing and Autonomous Virtual Network Function Management for Intelligent 6G Network Slicing
  crossref Kishor Golla, M. Ramkumar 2026-05-19T19:47:29Z 置信度 0.70
• Application of AI in 6G Optical Wireless Networks
  crossref Jupeng Ding, I Chih-Lin, Jintao Wang, Hui Yang 2026-06-23T16:46:39Z 置信度 0.70
• Blockchain and Federated Learning for Decentralized AI in Wireless Antenna Systems
  The rapid evolution of wireless communication systems, driven by the advent of 5G and the upcoming 6G networks, demands advanced, secure, and efficient solutions for optimizing antenna systems. This chapter explores the convergence of Blockchain and Federated …
  crossref Daware Vimokshavardhan Avinash, Hire Jairaj Namdev 2026-03-19T11:26:08Z 置信度 0.70
• ADONIS: Adaptive Digital Twin-Driven Orchestration for Network-Intelligent Slicing in 6G Edge Environments
  Abstract The transition toward 6G networks necessitates highly dynamic network slicing to support Ultra-Reliable LowLatency Communications (URLLC) and enhanced Mobile Broadband (eMBB). Digital Twins (DT) offer a promising paradigm for network management; howev…
  crossref Aritrik Ghosh 2026-07-10T12:48:46Z 置信度 0.70
• Toward Experimentation-as-a-Service in 5G/6G: The Plaza6G Prototype for AI-Assisted Trials
  crossref Sergio Barrachina-Muñoz, Marc Carrascosa-Zamacois, Horacio Bleda, Umair Riaz 等 2026-05-08T19:36:34Z 置信度 0.70
• Application of Artificial Intelligence in 6G Wireless Networks and Beyond
  crossref Promise Elechi, Kingsley Eyiogwu Onu, Agbotiname Lucky Imoize 2026-06-23T16:46:39Z 置信度 0.70
• Efficient Resource Allocation for Integrated Sensing and Communication Towards 6G
  crossref Jiaying Ren, Yahia Shabara, Shawn Tsai, Doru Calin 2026-03-26T19:52:20Z 置信度 0.70
• Robust UE-Assisted Sensing with Anchor Position Uncertainty for 6G ISAC
  crossref Xianzhen Guo, Shuowen Zhang, Liang Liu 2026-06-16T19:41:29Z 置信度 0.70
• Convergence of Blockchain and AI for 6G Wireless Communications
  crossref Subhajit Roy 2026-02-27T11:02:05Z 置信度 0.70
• An AI- and Blockchain-Based Framework for Dynamic Spectrum Access in 5G and Beyond (6G) Wireless Networks
  The rapid evolution of 5G and emerging 6G wireless networks has intensified the demand for efficient, adaptive, and secure spectrum utilization. Conventional static spectrum allocation policies lead to significant underutilization of available bandwidth, while…
  crossref Akash Garg, Prakash Kumar Singh 2026-05-09T19:40:16Z 置信度 0.70
• Preliminary study of 6G networks signifies a revolutionary change in wireless communication
  crossref Sivabalan Settu, Renugadevi Rajaram, Maridhu Bhargavi, Thangavel Murugan 等 2026-03-19T04:09:11Z 置信度 0.70
• Wireless Network Technology
  crossref 2026-02-01T16:39:58Z 置信度 0.70
• Digital Twin-Based Generative Artificial Intelligence of Things for 6G Wireless Sensor Networks
  crossref Xavier Fernando, George Lăzăroiu, Katarina Valaskova 2026-06-15T10:44:32Z 置信度 0.70
• Real-time Dynamic Adaption-centric Multi-dimensional Antenna Design Optimization Using MPS-OOA for 6G-Enabled Wireless Networks
  Objectives: A Massive Multiple-Input-Multiple-Output (MIMO) antenna has emerged as a cornerstone in 6G-wireless networks. However, prior studies have not focused on real-time adaptive optimization. Hence, this article proposes an innovative design for real-tim…
  crossref K Suman 2026-02-13T18:07:26Z 置信度 0.70
• TinyML-driven Edge Intelligence for Sustainable IoT in 6G Networks
  crossref Ali Hassan Sodhro, Muhammad Irfan Younas Mughal 2026-06-17T19:37:14Z 置信度 0.70
• Introduction
  crossref Ke-Lin Du, M. N. S. Swamy 2026-06-22T21:46:25Z 置信度 0.70
• Securing LFM-Based Wireless Sensing Against Deception Jamming in 6G Networks
  crossref Liping Huang, Xinxin Ma, Haijun Tan, Jinquan Liang 等 2026-06-17T19:37:14Z 置信度 0.70
• Wireless Network Standards
  crossref 2026-02-01T16:39:58Z 置信度 0.70
• 6G communication network for smart healthcare system
  crossref Ushaa Eswaran, Alex Khang 2025-10-25T07:52:18Z 置信度 0.70
• An AI- and Blockchain-Based Framework for Dynamic Spectrum Access in 5G and Beyond (6G) Wireless Networks
  The explosive growth of wireless communications—driven by IoT proliferation, mobile broadband expansion, and the imminent arrival of 6G—has placed unprecedented pressure on finite radio spectrum resources. Traditional static allocation policies leave large por…
  crossref Akash Garg, Prakash Kumar Singh 2026-04-22T17:39:44Z 置信度 0.70
• A Multi-Agent Federated Edge Learning System for Energy-Efficient 6G Wireless Ecosystems
  crossref Swetha Pesaru, Dr. Tata Sudiyanto 2026-07-13T06:50:27Z 置信度 0.70
• Copyright Page
  crossref 2026-06-23T19:43:08Z 置信度 0.70
• Pinched Antenna Systems for Sustainable Net-Zero 6G Near-Field Wireless Communications
  Sixth-generation (6G) mobile systems must deliver rich connectivity and precise sensing while keeping the energy and material use limited. We present pinched antenna systems (PASS) as a practical path. It is a movable radiator on low-loss dielectric guides tha…
  crossref Arnav Mukhopadhyay, Keshav Singh, Fan-Shuo Tseng, Kapal Dev 等 2026-01-08T04:05:01Z 置信度 0.70
• Optimization for 6G Wireless Communications With Heterogeneous VR and Non-VR 360° Videos: A Differentiated Reinforcement Learning Approach
  crossref Wenhan Yu, Jun Zhao 2024-06-24T16:12:20Z 置信度 0.70
• Explainable Federated Deep Reinforcement Learning for Distributed Trading Agents over 6G-Enabled Wireless Edge Networks
  crossref Achraf Wali, Isaac Lera, Lamia Hadrich Belguith 2026-07-03T19:49:45Z 置信度 0.70
• Multiple Access Schemes for 5G/6G Networks
  crossref Phuong T. Tran, Tan N. Nguyen, Lam-Thanh Tu 2026-01-08T05:48:50Z 置信度 0.70
• Electromagnetic situation awareness and modeling for space-air-ground integrated networks.
  The ever-thriving advancement of the space-air-ground integrated network (SAGIN) has driven global connectivity toward greater heterogeneity, spurring a growing demand for spectrum resources. This evolution fosters the formation of the complex electromagnetic …
  pubmed An J, Tao Y, Zhang X, Hua Z 等 2026 置信度 0.82
• Review on Performance Enhancement Techniques in FSO Systems
  Free-Space Optical (FSO) communication offers a number of advantages like high capacity, low latency, and spectrum flexibility for backhaul and access links, which makes strong contender for acting as a key enabler for fifth-generation (5G) and beyond 5G commu…
  datacite Sahu, Shreepreet, Sahu, Prasant Kumar 2025 置信度 0.66 Biological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• Review on Performance Enhancement Techniques in FSO Systems
  Free-Space Optical (FSO) communication offers a number of advantages like high capacity, low latency, and spectrum flexibility for backhaul and access links, which makes strong contender for acting as a key enabler for fifth-generation (5G) and beyond 5G commu…
  datacite Sahu, Shreepreet, Sahu, Prasant Kumar 2025 置信度 0.66 Biological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• 15. Optimizing Network Performance An Exploration of Resource Management Strategies and Challenges in IoT
  This publication presents an applied research study on resource management in IoT-enabled 6G networks, addressing critical challenges related to scalability, energy efficiency, real-time performance, and security. Using a systematic literature review and meta-…
  datacite Hussain, Mohammed Rasheed, Ansari, Saifur Rahman, Ajani, Jaffar, Ansari, Mohammed Azim Arif 2022 置信度 0.66
• 15. Optimizing Network Performance An Exploration of Resource Management Strategies and Challenges in IoT
  This publication presents an applied research study on resource management in IoT-enabled 6G networks, addressing critical challenges related to scalability, energy efficiency, real-time performance, and security. Using a systematic literature review and meta-…
  datacite Hussain, Mohammed Rasheed, Ansari, Saifur Rahman, Ajani, Jaffar, Ansari, Mohammed Azim Arif 2022 置信度 0.66
• LarS-Net: A Large-Scale Framework for Network-Level Spectrum Sensing
  As the demand of wireless communication continues to rise, the radio spectrum (a finite resource) requires increasingly efficient utilization. This trend is driving the evolution from static, stand-alone spectrum allocation toward spectrum sharing and dynamic …
  datacite Guo, Hao, Sun, Ruoyu, Raouf, Amir Hossein Fahim, Gandotra, Rahil 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• A Comprehensive Study of Wireless Cloud Networks Supporting Large-Scale Internet of Things Deployments
  The rapid expansion of the Internet of Things has led to the emergence of large-scale deployments that demand unprecedented levels of connectivity, computational power, and storage capacity. Wireless Cloud Networks (WCNs) provide a critical solution by integra…
  datacite Samvith Hegde 2022 置信度 0.66 Wireless Cloud Networks, Internet of Things, Large-Scale Deployment, Edge Computing, 5G Communications, Resource Management, Network Architecture, Data Privacy.
• A Comprehensive Study of Wireless Cloud Networks Supporting Large-Scale Internet of Things Deployments
  The rapid expansion of the Internet of Things has led to the emergence of large-scale deployments that demand unprecedented levels of connectivity, computational power, and storage capacity. Wireless Cloud Networks (WCNs) provide a critical solution by integra…
  datacite Samvith Hegde 2022 置信度 0.66 Wireless Cloud Networks, Internet of Things, Large-Scale Deployment, Edge Computing, 5G Communications, Resource Management, Network Architecture, Data Privacy.
• Multi-band Carrier Phase Positioning toward 6G: Performance Bounds and Efficient Estimators
  In addition to satellite systems, carrier phase positioning (CPP) is gaining attraction also in terrestrial mobile networks, particularly in 5G New Radio evolution toward 6G. One key challenge is to resolve the integer ambiguity problem, as the carrier phase p…
  datacite Shourezari, Ehsan, Kaltiokallio, Ossi, Ilter, Mehmet C., Talvitie, Jukka 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• AI-Native Integrated Sensing and Communications for Self-Organizing Wireless Networks: Architectures, Learning Paradigms, and System-Level Design
  Integrated Sensing and Communications (ISAC) is emerging as a foundational paradigm for next-generation wireless networks, enabling communication infrastructures to simultaneously support data transmission and environment sensing. By tightly coupling radio sen…
  datacite Zhang, S., Feizarefi, M., Mirzaei, A. F. 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Resilient Connectivity Models For Next-Generation Wireless Cloud–IoT Platforms
  The rapid growth of the Internet of Things, combined with advancements in cloud computing and next-generation wireless technologies, has created unprecedented opportunities for intelligent, interconnected systems. These systems, often referred to as wireless c…
  datacite Kritika Somvanshi 2021 置信度 0.66 Resilient connectivity, wireless IoT networks, cloud–IoT integration, next-generation wireless networks, 5G and 6G IoT, edge computing, fog computing, software-defined networking, network function virtualization.
• Resilient Connectivity Models For Next-Generation Wireless Cloud–IoT Platforms
  The rapid growth of the Internet of Things, combined with advancements in cloud computing and next-generation wireless technologies, has created unprecedented opportunities for intelligent, interconnected systems. These systems, often referred to as wireless c…
  datacite Kritika Somvanshi 2021 置信度 0.66 Resilient connectivity, wireless IoT networks, cloud–IoT integration, next-generation wireless networks, 5G and 6G IoT, edge computing, fog computing, software-defined networking, network function virtualization.
• A Multi-Layer System Analysis of Cloud, IoT, and Wireless Network Convergence
  The rapid proliferation of Internet of Things (IoT) devices has significantly transformed the digital landscape, generating massive volumes of heterogeneous data and demanding robust computational and networking infrastructures. Cloud computing has emerged as …
  datacite Ishan Kothreem 2022 置信度 0.66 IoT, Cloud Computing, Wireless Networks, Multi-Layer Architecture, Network Convergence, Edge Computing, System Integration.
• A Multi-Layer System Analysis of Cloud, IoT, and Wireless Network Convergence
  The rapid proliferation of Internet of Things (IoT) devices has significantly transformed the digital landscape, generating massive volumes of heterogeneous data and demanding robust computational and networking infrastructures. Cloud computing has emerged as …
  datacite Ishan Kothreem 2022 置信度 0.66 IoT, Cloud Computing, Wireless Networks, Multi-Layer Architecture, Network Convergence, Edge Computing, System Integration.
• End-to-End Architectural Assessment of Wireless IoT and Cloud Computing Systems
  The rapid advancement of Internet of Things (IoT) technologies and cloud computing has fostered the development of highly integrated systems that enable real-time data acquisition, processing, and intelligent decision-making. This review presents an end-to-end…
  datacite Tanvika Malrenu 2022 置信度 0.66 IoT Architecture, Cloud Computing, Wireless Networks, End-to-End Systems, Edge Computing, Network Security.
• End-to-End Architectural Assessment of Wireless IoT and Cloud Computing Systems
  The rapid advancement of Internet of Things (IoT) technologies and cloud computing has fostered the development of highly integrated systems that enable real-time data acquisition, processing, and intelligent decision-making. This review presents an end-to-end…
  datacite Tanvika Malrenu 2022 置信度 0.66 IoT Architecture, Cloud Computing, Wireless Networks, End-to-End Systems, Edge Computing, Network Security.
• Risk-Aware Cloud Computing Frameworks For Secure IoT Communication Over Wireless Network Infrastructures
  The rapid proliferation of Internet of Things (IoT) devices, coupled with the high-performance analytical capabilities of Cloud Computing, has created an interdependent ecosystem that relies heavily on wireless network infrastructures. However, this integratio…
  datacite Prisha Malviya 2021 置信度 0.66 Cloud-IoT Integration, Risk-Aware Frameworks, Wireless Network Security, Edge Computing, Trust Management Systems, Software-Defined Networking (SDN), Adaptive Cryptography, 6G Security, Zero Trust Architecture, Anomaly Detection.
• Risk-Aware Cloud Computing Frameworks For Secure IoT Communication Over Wireless Network Infrastructures
  The rapid proliferation of Internet of Things (IoT) devices, coupled with the high-performance analytical capabilities of Cloud Computing, has created an interdependent ecosystem that relies heavily on wireless network infrastructures. However, this integratio…
  datacite Prisha Malviya 2021 置信度 0.66 Cloud-IoT Integration, Risk-Aware Frameworks, Wireless Network Security, Edge Computing, Trust Management Systems, Software-Defined Networking (SDN), Adaptive Cryptography, 6G Security, Zero Trust Architecture, Anomaly Detection.
• OPTIMIZING THE WIRELESS RESOURCES AND PREDICTION OF TRAFFIC USING HYBRID MODEL FOR 6G
  The fast change from 5G to 6G networks calls for extremely accurate network traffic prediction and effective resource allocation to meet rising data volumes and ultra-low latency requirements. To deal with the complicated time and space-based aspects of 6G net…
  datacite Dr. R. Balasubramaniyan 2025 置信度 0.66 6G networksnetwork traffic forecastingwireless communicationsAI integrationhybrid deep
• OPTIMIZING THE WIRELESS RESOURCES AND PREDICTION OF TRAFFIC USING HYBRID MODEL FOR 6G
  The fast change from 5G to 6G networks calls for extremely accurate network traffic prediction and effective resource allocation to meet rising data volumes and ultra-low latency requirements. To deal with the complicated time and space-based aspects of 6G net…
  datacite Dr. R. Balasubramaniyan 2025 置信度 0.66 6G networksnetwork traffic forecastingwireless communicationsAI integrationhybrid deep
• Green Communication in Modern Wireless Networks : A Comprehensive Review
  The rapid evolution of wireless communication technologies, particularly the deployment of fifth-generation (5G) networks and the conceptualization of next-generation networks (6G and beyond), has significantly transformed global connectivity. However, this pr…
  datacite Nidhi, Dr. Shamsher Singh 2025 置信度 0.66 Green
• Green Communication in Modern Wireless Networks : A Comprehensive Review
  The rapid evolution of wireless communication technologies, particularly the deployment of fifth-generation (5G) networks and the conceptualization of next-generation networks (6G and beyond), has significantly transformed global connectivity. However, this pr…
  datacite Nidhi, Dr. Shamsher Singh 2025 置信度 0.66 Green
• Wireless First Cloud Native Reframing IT Fundamentals For Next Generation IoT Ecosystems
  The rapid proliferation of Internet of Things (IoT) devices has exposed fundamental limitations in traditional IT architectures, including centralized computing, static resource allocation, and monolithic software design. Modern IoT ecosystems demand scalable,…
  datacite Sasikanth Reddy Mandati 2024 置信度 0.66
• Wireless First Cloud Native Reframing IT Fundamentals For Next Generation IoT Ecosystems
  The rapid proliferation of Internet of Things (IoT) devices has exposed fundamental limitations in traditional IT architectures, including centralized computing, static resource allocation, and monolithic software design. Modern IoT ecosystems demand scalable,…
  datacite Sasikanth Reddy Mandati 2024 置信度 0.66
• Wireless First Cloud Native Reframing IT Fundamentals For Next Generation IoT Ecosystems
  The rapid proliferation of Internet of Things (IoT) devices has exposed fundamental limitations in traditional IT architectures, including centralized computing, static resource allocation, and monolithic software design. Modern IoT ecosystems demand scalable,…
  datacite Sasikanth Reddy Mandati 2024 置信度 0.66
• Wireless First Cloud Native Reframing IT Fundamentals For Next Generation IoT Ecosystems
  The rapid proliferation of Internet of Things (IoT) devices has exposed fundamental limitations in traditional IT architectures, including centralized computing, static resource allocation, and monolithic software design. Modern IoT ecosystems demand scalable,…
  datacite Sasikanth Reddy Mandati 2024 置信度 0.66
• Real-Time Monitoring Systems (5G/6G & Beyond): A Technical Review
  The evolution of wireless communication networks from 5G to emerging 6G technologies has fundamentally transformed network monitoring and management requirements, necessitating sophisticated real-time monitoring systems capable of operating at microsecond time…
  datacite Venu Madhav Nadella 2025 置信度 0.66
• Real-Time Monitoring Systems (5G/6G & Beyond): A Technical Review
  The evolution of wireless communication networks from 5G to emerging 6G technologies has fundamentally transformed network monitoring and management requirements, necessitating sophisticated real-time monitoring systems capable of operating at microsecond time…
  datacite Venu Madhav Nadella 2025 置信度 0.66
• Design and Performance Evaluation of Transmission and Multiple Access Schemes for the Next Generation Wireless Communication Systems
  Από την απαρχή των ασύρματων επικοινωνιών, το παράδειγμα της πολλαπλής πρόσβασης βρίσκεται στον πυρήνα των ασύρματων συστημάτων, αποτελώντας θεμέλιο λίθο για τη συνεχή εξέλιξή τους μέσα στις διαδοχικές γενιές. Ξεκινώντας από ορθογώνιες προσεγγίσεις, οι οποίες …
  datacite Χρυσολόγου, Αθανάσιος Π. 2025 置信度 0.66 Ασύρματα συστήματα επικοινωνιώνΠολλαπλή πρόσβασηΤεχνικές μετάδοσηςΑνάλυση ΕπίδοσηςWireless communication systems
• Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
  Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart services and innovative applications. Such a context urges a heavy usage of Machine Learning (ML) techniques, particularly Deep Learning (DL), to foster innovation and eas…
  datacite Hafi, Houda, Brik, Bouziane, Frangoudis, Pantelis A., Ksentini, Adlen 2023 置信度 0.66 6G networksWireless CommunicationFederated Deep LearningSplit Deep LearningSplit Federated Learning
• Architectural enhancements, challenges and future trends in real-time IoT applications over 5G networks
  The introduction of real-time Internet of Things (IoT) applications has introduced unprecedented demands on communication systems, which require ultra-low latency, high reliability, and massive device connectivity. Fifth-generation (5G) wireless networks repre…
  datacite Nowamagbe, Precious, Akande, Samuel Oluwatosin, Adefemi, Bankole, Boluwade, Adeniyi Joshua 等 2025 置信度 0.66 5G NetworksInternet of Things (IoT)Real-Time SystemsEdge ComputingUltra-Reliable Low-Latency Communication (URLLC)
• Architectural enhancements, challenges and future trends in real-time IoT applications over 5G networks
  The introduction of real-time Internet of Things (IoT) applications has introduced unprecedented demands on communication systems, which require ultra-low latency, high reliability, and massive device connectivity. Fifth-generation (5G) wireless networks repre…
  datacite Nowamagbe, Precious, Akande, Samuel Oluwatosin, Adefemi, Bankole, Boluwade, Adeniyi Joshua 等 2025 置信度 0.66 5G NetworksInternet of Things (IoT)Real-Time SystemsEdge ComputingUltra-Reliable Low-Latency Communication (URLLC)
• Generation-Agnostic Zero-Energy Devices for Sustainable Connectivity, Sensing, and Localization
  The massive scale of Internet of Things (IoT) connectivity expected in 6G networks raises unprecedented challenges in energy use, battery waste, and lifecycle sustainability. Current cellular IoT solutions remain bound to the lifetime of underlying network gen…
  datacite Amani, Navid, Bilotti, Filiberto, Dardari, Davide, Errico, Raffaele D 等 2025 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
  The evolution from Industry 4.0 to Industry 5.0 introduces stringent requirements for ultra reliable low latency communication (URLLC) to support human centric, intelligent, and resilient industrial systems. Sixth-generation (6G) wireless networks aim to meet …
  datacite Ibrahim, Abdikarim Mohamed, Nordin, Rosdiadee, Khamayseh, Yahya S. M., Amphawan, Angela 等 2025 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Framework
  Wireless Body Area Networks (WBANs) enable continuous monitoring of physiological signals for applications ranging from chronic disease management to emergency response. Recent advances in 6G communications, post-quantum cryptography, and energy harvesting hav…
  datacite Torkamani, Mohammad Jalili, Mahmoudi, Negin, Kiashemshaki, Kiana 2025 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciencesC.2.1; C.2.2; E.3; I.2.7
• Optimizing Network Performance by Exploration of Resource Management Strategies and Challenges in IoT-Based 6GNetworks
  Wireless of communication networks that started with 1G and reached the 5G mark are dramatically altered the means by which societies interact and 6G stands to make the same impact. The 6G age will be marked by huge connection, low latency, and bandwidth capab…
  datacite RASHEED HUSSAIN, MOHAMMED, Hassan, Syed nayeemuddin, Arif Ansari, Mohammed Azim, Ajani, Jaffar 等 2022 置信度 0.66
• Optimizing Network Performance by Exploration of Resource Management Strategies and Challenges in IoT-Based 6GNetworks
  Wireless of communication networks that started with 1G and reached the 5G mark are dramatically altered the means by which societies interact and 6G stands to make the same impact. The 6G age will be marked by huge connection, low latency, and bandwidth capab…
  datacite RASHEED HUSSAIN, MOHAMMED, Hassan, Syed nayeemuddin, Arif Ansari, Mohammed Azim, Ajani, Jaffar 等 2022 置信度 0.66
• Emerging Cybersecurity Paradigms in Wireless Networks: Physical Layer Innovation, Trust, and AI-Enhanced Defenses
  Volume Editors:Iraklis Symeonidis (RISE, Research Institutes of Sweden)Valeria Loscri (Inria Lille, France) Executive Summary This White Paper, prepared by BEiNG-WISE Working Group 1, explores the rapidly evolving landscape of wireless network security. With a…
  datacite Symeonidis, Iraklis, Loscri, Valeria 2025 置信度 0.66
• Emerging Cybersecurity Paradigms in Wireless Networks: Physical Layer Innovation, Trust, and AI-Enhanced Defenses
  Volume Editors:Iraklis Symeonidis (RISE, Research Institutes of Sweden)Valeria Loscri (Inria Lille, France) Executive Summary This White Paper, prepared by BEiNG-WISE Working Group 1, explores the rapidly evolving landscape of wireless network security. With a…
  datacite Symeonidis, Iraklis, Loscri, Valeria 2025 置信度 0.66
• Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
  The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI), promises, among other benefits, breakthroughs in the system's ability to perceiv…
  datacite Shatov, Victor, Schieler, Steffen, Muth, Charlotte, Mateos-Ramos, José Miguel 等 2025 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• ISAC: From Human to Environmental Sensing
  Integrated Sensing and Communications (ISAC) is poised to become one of the defining capabilities of the sixth generation (6G) wireless communications systems, enabling the network infrastructure to jointly support high-throughput communications and situationa…
  datacite Wu, Kai, Wang, Zhongqin, Chen, Shu-Lin, Zhang, J. Andrew 等 2025 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
  The sixth-generation wireless communications (6G) is often labeled as ”connected intelligence”. Radio sensing,aligned with machine learning (ML) and artificial intelligence (AI), promises, among other benefits, breakthroughs in thesystem’s ability to perceive …
  datacite Shatov, Victor, Schieler, Steffen, Muth, Charlotte, Mateos-Ramos, José Miguel 等 2025 置信度 0.66
• Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
  The sixth-generation wireless communications (6G) is often labeled as ”connected intelligence”. Radio sensing,aligned with machine learning (ML) and artificial intelligence (AI), promises, among other benefits, breakthroughs in thesystem’s ability to perceive …
  datacite Shatov, Victor, Schieler, Steffen, Muth, Charlotte, Mateos-Ramos, José Miguel 等 2025 置信度 0.66
• 6G communications through sub-Terahertz CMOS power amplifiers: Design challenges and trends
  The fifth-generation (5G) network faces limitations in supporting emerging applications, such as artificial intelligence (AI), virtual reality (VR) and digital twins. To overcome these confines, sub-Terahertz (sub-THz) and Terahertz (THz) technologies are cons…
  datacite Lee, Jun Yan, Wu, Duo, Guo, Xuanrui, Tan, Jian Ding 等 2025 置信度 0.66 Networking and Internet Architecture (cs.NI)Emerging Technologies (cs.ET)FOS: Computer and information sciencesFOS: Computer and information sciences
• Integrating Communication, Sensing, and Security: Progress and Prospects of PLS in ISAC Systems
  The sixth generation of wireless networks defined several key performance indicators (KPIs) for assessing its networks, mainly in terms of reliability, coverage, and sensing. In this regard, remarkable attention has been paid recently to the integrated sensing…
  datacite Aman, Waqas, Illi, El-Mehdi, Qaraqe, Marwa, Al-Kuwari, Saif 2025 置信度 0.66 Emerging Technologies (cs.ET)Cryptography and Security (cs.CR)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
  With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. By embedding AI capabilities across vari…
  datacite Cui, Qimei, You, Xiaohu, Wei, Ni, Nan, Guoshun 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciences
• Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions
  Wireless signal recognition (WSR) is a crucial technique for intelligent communications and spectrum sharing in the next six-generation (6G) wireless communication networks. It can be utilized to enhance network performance and efficiency, improve quality of s…
  datacite Zhang, Hao, Zhou, Fuhui, Du, Hongyang, Wu, Qihui 等 2025 置信度 0.66 Signal Processing (eess.SP)Artificial Intelligence (cs.AI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Reconfigurable Intelligent Surfaces in 6G Radio Localization: A Survey of Recent Developments, Opportunities, and Challenges
  In this survey paper, we present an extensive review of the use of RIS in 6G radio localization, highlighting their pivotal role as a low-cost, energy-efficient technology that reshapes wireless communication and localization landscapes. Investigating the vers…
  datacite Umer, Anum, Müürsepp, Ivo, Alam, Muhammad Mahtab, Wymeersch, Henk 2023 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Generative AI for Space-Air-Ground Integrated Networks
  Recently, generative AI technologies have emerged as a significant advancement in artificial intelligence field, renowned for their language and image generation capabilities. Meantime, space-air-ground integrated network (SAGIN) is an integral part of future …
  datacite Zhang, Ruichen, Du, Hongyang, Niyato, Dusit, Kang, Jiawen 等 2023 置信度 0.66 Networking and Internet Architecture (cs.NI)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• REVIEW PAPER WIRELESS 6G VISION DESCRIBE COMMUNICATION AND ITS NETWORK STRUCTURE
  datacite May Abdulsamad Sadeq, Mustafa Ali Abdalhadi 2024 置信度 0.66
• REVIEW PAPER WIRELESS 6G VISION DESCRIBE COMMUNICATION AND ITS NETWORK STRUCTURE
  datacite May Abdulsamad Sadeq, Mustafa Ali Abdalhadi 2024 置信度 0.66
• Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
  Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commercial 5G has just been widely deployed in some countries, there have been initial e…
  datacite Pham, Quoc-Viet, Nguyen, Dinh C., Mirjalili, Seyedali, Hoang, Dinh Thai 等 2020 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Automatic Retrieval-augmented Generation of 6G Network Specifications for Use Cases
  6G Open Radio Access Networks (O-RAN) promises to open data interfaces to enable plug-and-play service Apps, many of which are consumer and business-facing. Opening up 6G access lowers the barrier to innovation but raises the challenge that the required commun…
  datacite Tang, Yun, Guo, Weisi 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences