Results 41 to 50 of about 177 (85)

Breaking Orthogonality in Uplink With Randomly Deployed Sources

IEEE Open Journal of the Communications Society
The requirement of the upcoming sixth-generation (6G) wireless communication systems to significantly elevate the services of enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC) necessitates the design and investigation of ...
Apostolos A. Tegos, Sotiris A. Tegos, Dimitrios Tyrovolas, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis   +5 more
doaj   +1 more source

Self-Organizing Networks for 5G and Beyond: A View from the Top

Future Internet, 2022
We describe self-organizing network (SON) concepts and architectures and their potential to play a central role in 5G deployment and next-generation networks.
Andreas G. Papidas, George C. Polyzos
doaj   +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

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

Active User Identification Based on Asynchronous Sparse Bayesian Learning With SVM

IEEE Access, 2019
In this paper, an asynchronous sparse Bayesian learning (ASBL) algorithm-based receiver for uplink (UL) grant-free transmission is proposed. The time-domain channel estimation is performed by the ASBL algorithm to obtain the channel impulse response (CIR)
Jingwei Fu, Gang Wu, Yizhong Zhang, Lijun Deng, Shu Fang   +4 more
doaj   +1 more source

A Comprehensive Review of Battery‐Free Energy Efficient RF and Microwave Systems

Journal of Engineering, Volume 2026, Issue 1, 2026.
Battery‐free radiofrequency (RF) and microwave systems have emerged as a promising solution for enabling long‐lifetime, maintenance‐free wireless sensing and communication platforms by eliminating conventional battery dependence. These systems operate by harvesting ambient or dedicated electromagnetic energy, converting it to usable electrical power ...
Stella N. Arinze, Augustine O. Nwajana, Vijayanandh Raja   +2 more
wiley   +1 more source