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

