Results 61 to 70 of about 353 (122)

A Massive Grant‐Free Random Access Scheme Based on Spectrum Sensing and Preamble Delay

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper introduces cognitive radio (CR) and preamble delay (PD) to reduce access collisions, together with non‐orthogonal multiple access (NOMA) to improve spectrum efficiency, and thus proposes an efficient CR‐NOMA‐PD‐based massive grant‐free random multiple access scheme.
Jing Zhang, Zhuang‐Zhuang Wei, Yu‐Qi Zhang, Hong‐Xu Gao, Hai‐Tao Zhao, Hong‐Bo Zhu   +5 more
wiley   +1 more source

Analysis of the tourism attractiveness of a itera reservoir, South Lampung

International Journal of Applied Sciences in Tourism and Events
Unplanned tourist spaces often emerge from everyday community use rather than formal planning. This study examines the spatial transformation and tourism attractiveness of Embung A ITERA, a campus water reservoir that has organically developed into a ...
Nindita Murti, Ria Ripardi
doaj   +1 more source

Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone, Kwame Opuni‐Boachie Obour Agyekum, James Dzisi Gadze, Kwasi Adu‐Boahen Opare, Owusu Agyeman Antwi, Robert Akromond   +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

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

CA‐PPO: Collision‐Aware Reinforcement Learning for Grant‐Free NOMA in Wireless Federated Learning

IET Networks, Volume 15, Issue 1, January/December 2026.
This paper proposes a collision‐aware proximal policy optimisation (CA‐PPO) framework for joint clustering and power allocation in grant‐free NOMA–enabled wireless federated learning systems. By explicitly accounting for random access collisions, SIC decoding failures and energy–latency constraints, the proposed approach stabilises learning under ...
Emmanuel Atebawone, Kwame Opuni‐Boachie Obour Agyekum, James Dzisi Gadze, Kwasi Adu‐Boahen Opare, Owusu Agyeman Antwi, Robert Akromond   +5 more
wiley   +1 more source

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

Dynamic Resource Allocation for 5G and Beyond Networks Slicing Based on Meta‐Federated Deep Reinforcement Learning

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
This study introduces a meta‐federated deep reinforcement learning (Meta‐FedDRL) framework to address dynamic resource allocation (DRA) challenges in ultra‐dense and heterogeneous 5G and beyond network slicing. The proposed approach enables distributed learning while preserving data confidentiality and enhancing generalization.
Faustin Samafou, Ado Adamou Abba Ari, Assidé Christian Djedouboum, Arouna Ndam Njoya, Abdelhak Mourad Gueroui   +4 more
wiley   +1 more source

Learning Random Access Schemes for Massive Machine-Type Communication With MARL

IEEE Transactions on Machine Learning in Communications and Networking
This paper investigates various multi-agent reinforcement learning (MARL) techniques for designing grant-free random access (RA) schemes suitable for low-complexity, low-power battery-operated devices in massive machine-type communication (mMTC ...
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Alvaro Valcarce   +3 more
doaj   +1 more source

From Rainforests to Open‐Vegetation: The Biogeographic History of Chamaecrista (Leguminosae) in the Neotropics

Journal of Biogeography, Volume 53, Issue 1, January 2026.
ABSTRACT Aim We reconstructed the biogeographical history of a species‐rich legume genus by testing alternative hypotheses on the origin and expansion of neotropical open‐vegetation areas, with particular emphasis on the campos rupestres. Location Neotropics.
Juliana Gastaldello Rando, Eduardo Koerich Nery, Anselmo Nogueira, Matheus Martins Teixeira Cota, Alexandre Zuntini, Suzana Alcantara, Gwilym Peter Lewis, Domingos Cardoso, Luciano Paganucci de Queiroz, José Rubens Pirani   +9 more
wiley   +1 more source