Results 81 to 90 of about 8,334 (202)

GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

, 2019
Network slicing is a key technology in 5G communications system. Its purpose is to dynamically and efficiently allocate resources for diversified services with distinct requirements over a common underlying physical infrastructure.
Chen, Xianfu, Hua, Yuxiu, Li, Rongpeng, Zhang, Honggang, Zhao, Zhifeng   +4 more
core   +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

Deep Reinforcement Learning for Resource Management in Network Slicing

, 2018
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-performing and cost-efficient services, network slicing involves challenging ...
Chen, Xianfu, I, Chi-Lin, Li, Rongpeng, Sun, Qi, Yang, Chenyang, Zhang, Honggang, Zhao, Minjian, Zhao, Zhifeng   +7 more
core   +1 more source

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

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

IET 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, Raad S. Alhumaima, Hamed Al‐Raweshidy   +2 more
wiley   +1 more source

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

IEEE Access, 2020
Massive machine-type communication (mMTC) and ultra-reliable and low-latency communication (URLLC) are two key service types in the fifth-generation (5G) communication systems, pursuing scalability and reliability with low-latency, respectively.
Shiva Raj Pokhrel, Jie Ding, Jihong Park, Ok-Sun Park, Jinho Choi   +4 more
doaj   +1 more source

Cybersecure Synchronisation of Entangled Quantum Neural Networks With Reconfigurable Intelligent Surface and Quantum Key Distribution for 6G Holographic Communications

IET Quantum Communication, Volume 7, Issue 1, January/December 2026.
A cybersecurity‐driven hybrid quantum–classical architecture is introduced for 6G holographic communications that synchronises entangled quantum neural networks (QNNs) using GHZ entanglement, RIS‐assisted midhaul control and QKD‐secured orchestration.
Raad S. Alhumaima, Yassir Al‐Karawi, Hamed Al‐Raweshidy   +2 more
wiley   +1 more source

Multi-Objective Optimisation of URLLC-Based Metaverse Services

, 2023
Metaverse aims for building a fully immersive virtual shared space, where the users are able to engage in various activities. To successfully deploy the service for each user, the Metaverse service provider and network service provider generally localise the user first and then support the communication between the base station (BS) and the user.
Gao, Xinyu, Yi, Wenqiang, Liu, Yuanwei, Hanzo, Lajos   +3 more
openaire   +4 more sources

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

6G Wireless Communications Enabled by the Blockchain: Privacy and Middleware Architecture

International Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.
6G is transformational and brings revolutionary innovations in virtually all sectors, such as healthcare, autonomous systems, and manufacturing, through ultralow latency, massive connection, and far superior computing capabilities than any previous generation.
Moumita Chanda, Olive Mazumder, Tawfikur Rahman, Jannatul Ferdous, Saeed Olyaee   +4 more
wiley   +1 more source