Results 91 to 100 of about 3,102 (219)

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

IEEE 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, Klaus I. Pedersen, Nurul Huda Mahmood, Jens Steiner, Preben Mogensen   +4 more
doaj   +1 more source

Closed‐Form Approximation of Average Error Probability With Finite‐Blocklength Coding Over Lognormal Wireless Communication Links

IET Communications, Volume 20, Issue 1, January/December 2026.
This work extends the Polyanskiy‐Poor‐Verdu (PPV) framework to lognormal wireless links. Specifically, the paper derives a closed‐form approximation for the average error probability under lognormal distribution, effectively generalizing the PPV analysis beyond the additive white Gaussian noise assumption.
Peng Du, Yuan Zhang
wiley   +1 more source

Stochastic Delay Bound Prediction Enabled by Network Calculus in TSN‐5G Cross‐Domain Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
The Industrial Internet's expansion intensifies the need for low‐latency, high‐reliability end‐to‐end deterministic networks. While TSN‐5G integration offers a promising path, complex delay bound prediction and inherent stochastic fluctuations persist as key bottlenecks, causing substantial delay jitter and reliability degradation.
Jiming Yao, Junli Yin, Taojie Zhu, Bin Kang, Lei Wang   +4 more
wiley   +1 more source

Sum‐Rate Maximization in Movable Antenna Enabled Cell‐Free Massive MIMO System

IET Communications, Volume 20, Issue 1, January/December 2026.
This letter investigates the problem of sum‐rate maximization in a cell‐free massive multiple‐input multiple output system enabled by movable antennas (MAs). Our objective is to maximize the system sum‐rate through the joint optimization of the transmit precoding matrice and the MA positions.
Yue Li, Beihua Zhang, Kui Xu, Qinghua Chen, Chen Wei, Xinrong Wu   +5 more
wiley   +1 more source

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

IET 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, Sghaier Guizani, Habib Hamam   +2 more
wiley   +1 more source

A Handover Mechanism for uRLLC in 5G Mobile Communication Networks [PDF]

, 2021
In 5G wireless communication network, the traditional Handover mechanism use RSRP (Reference Signal Receiving Power) reported by UE as a trigger.
Hong, Wei-Hsiang
core  

5G for IEC 61850 Smart Grid Communications: Mapping Technology Enablers and Network Slicing Performance Insights

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper maps key 5G technology enablers, such as carrier aggregation, dual connectivity, and network slicing (NS), to IEC 61850 smart grid communication traffic types and experimentally evaluates their performance in commercial 5G networks. Results show that NS enhances reliability for grid protection and automation but still falls short of ultra ...
Petra Raussi, Heli Kokkoniemi‐Tarkkanen, Seppo Horsmanheimo, Lotta Tuomimäki, Petri Hovila, Anna Kulmala   +5 more
wiley   +1 more source

Securing Machine‐Type Communications: A Survey on Privacy Threats and Countermeasures

IET Information Security, Volume 2026, Issue 1, 2026.
Machine‐type communication (MTC) is a fundamental enabler of the Internet of Things (IoT) and emerging 5G/6G networks, supporting massive deployments of heterogeneous and resource‐constrained devices. However, large‐scale data collection, persistent connectivity, and limited device capabilities introduce critical privacy challenges that are not ...
Amirhosein Imani, Alireza Keshavarz-Haddad, Peican Zhu   +2 more
wiley   +1 more source

EVT-enriched Radio Maps for URLLC

CoRR
This paper introduces a sophisticated and adaptable framework combining extreme value theory with radio maps to spatially model extreme channel conditions accurately. Utilising existing signal-to-noise ratio (SNR) measurements and leveraging Gaussian processes, our approach predicts the tail of the SNR distribution, which entails estimating the ...
Dian Echevarría Pérez, Onel L. Alcaraz López, Hirley Alves   +2 more
openaire   +2 more sources

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

IET 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, Wisal Zafar, Abid Iqbal, Abuzar Khan, Ali S. Alzahrani, Mohammed Al‐Naeem   +5 more
wiley   +1 more source