Results 71 to 80 of about 8,188 (182)

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad   +6 more
wiley   +1 more source

Ultra-Reliable Low Latency Communication (URLLC) using Interface Diversity

open access: yes, 2017
An important ingredient of the future 5G systems will be Ultra-Reliable Low-Latency Communication (URLLC). A way to offer URLLC without intervention in the baseband/PHY layer design is to use interface diversity and integrate multiple communication ...
Liu, Rongkuan   +2 more
core   +1 more source

Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications

open access: yesTransactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri   +3 more
wiley   +1 more source

Next-Generation Consumer Electronics for 6G Wireless Era

open access: yesIEEE Access, 2021
The upcoming beyond 5G (B5G)/6G wireless networks target various innovative technologies, services, and interfaces such as edge computing, ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology ...
Syed Junaid Nawaz   +3 more
doaj   +1 more source

Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar   +2 more
wiley   +1 more source

A Biologically Inspired Intelligent and Energy Efficient Route Optimization Clustering Algorithm for Internet of Vehicles (IoV)

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This work proposes COANET (crayfish optimization algorithm‐based route optimization for IoV Networks), which is an innovative bio‐inspired framework based on the crayfish optimization algorithm. COANET's core utilized the crayfish behaviours of foraging, competition and summer resort to allow the dynamic balancing of exploration and exploitation during
Ghassan Husnain   +5 more
wiley   +1 more source

URLLC Mode Optimal Resource Allocation to Support HARQ in 5G Wireless Networks

open access: yesIEEE Access, 2020
Ultra Reliable Low Latency Communication (URLLC) mode is a promising 5G technology for various real-time applications, such as, autonomous vehicles, augmented reality, and factory automation. Several papers on URLLC exist, however, most papers only focus
Hyeondeok Jang   +3 more
doaj   +1 more source

Energy-Efficient Non-Orthogonal Transmission under Reliability and Finite Blocklength Constraints

open access: yes, 2017
This paper investigates an energy-efficient non-orthogonal transmission design problem for two downlink receivers that have strict reliability and finite blocklength (latency) constraints.
Chang, Tsung-Hui   +5 more
core   +1 more source

Cybersecurity Driven Quantum Digital Twin for Proactive Threat Reversal in Open RAN

open access: yesIET Quantum Communication, Volume 7, Issue 1, January/December 2026.
This paper presents a novel cybersecurity‐driven quantum digital twin (CQDT) architecture for proactive defence in 6G Open RAN. By integrating quantum observables and reinforcement learning, the framework maintains high fidelity and suppresses entropy under adversarial CPTP noise. CQDT achieves real‐time adaptation with sub‐20 ms latency, meeting URLLC
Yassir Al‐Karawi   +2 more
wiley   +1 more source

5G Centralized Multi-Cell Scheduling for URLLC: Algorithms and System-Level Performance

open access: yesIEEE Access, 2018
We study centralized radio access network (C-RAN) with multi-cell scheduling algorithms to overcome the challenges for supporting ultra-reliable low-latency communications (URLLC) in the fifth-generation new radio (5G NR) networks.
Ali Karimi   +4 more
doaj   +1 more source

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