Results 61 to 70 of about 2,701 (178)

Hybrid NOMA for Latency Minimization in Wireless Federated Learning for 6G Networks [PDF]

Radioengineering, 2023
Wireless Federated Learning (WFL) is an innovative machine learning paradigm enabling distributed devices to collaboratively learn without sharing raw data.
P. Kavitha, K. Kavitha
doaj  

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

Distributed Sequential Coalition Formation Algorithm for Spectrum Allocation in Underlay Cognitive Radio Networks

IEEE Access, 2019
In this paper, we study the resource allocation problem, including the joint consideration of user grouping and power allocation, of an, underlay cognitive radio (CR) network employing non-orthogonal multiple access (NOMA), which is referred to as the ...
Wei Liang, Kai Di Wang, Jia Shi, Lixin Li, George K. Karagiannidis   +4 more
doaj   +1 more source

Federated Split Learning for Large Language Models With RSMA

IET Communications, Volume 20, Issue 1, January/December 2026.
This study proposes a federated split learning framework for large language models (FedsLLM) integrated with rate‐splitting multiple access (RSMA), aimed at enhancing the efffciency and privacy of LLM training in wireless communication systems. ABSTRACT This study proposes a federated split learning framework for large language models (FedsLLM ...
Jianxin Dai, Rui Tang, Feibo Jiang, Zhaohui Yang, Qianqian Yang, Zhaoyang Zhang, Linqing Gui   +6 more
wiley   +1 more source

A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

IEEE Access, 2019
Simultaneous wireless information and power transfer (SWIPT) and multi-carrier non-orthogonal multiple access (MC-NOMA) are promising technologies for future fifth generation and beyond wireless networks due to their potential capabilities in energy ...
Jingci Luo, Jie Tang, Daniel K. C. So, Gaojie Chen, Kanapathippillai Cumanan, Jonathon A. Chambers   +5 more
doaj   +1 more source

Reinforcement Learning for Robust Modulation Classification in Non‐Orthogonal Multiple Access (NOMA) Systems

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a reinforcement learning–based framework for robust modulation classification and resource management in non‐orthogonal multiple access (NOMA) systems. By integrating Q‐learning, deep reinforcement learning, and proximal policy optimisation, the approach enhances spectral efficiency, mitigates interference, and improves ...
Mohammed M. Alammar, Abdulrahman Al Ayidh, Muneer Parayangat, Mohamed Abd Elhamid Abbas   +3 more
wiley   +1 more source

RIS‐Assisted Indoor VLC Under LoS Blockage: A 3D Geometry‐Based Channel Model With Stochastic User Deployment

IET Communications, Volume 20, Issue 1, January/December 2026.
Visible light communication (VLC) systems are highly vulnerable to line‐of‐sight (LoS) blockage in indoor environments. This paper presents a three‐dimensional geometry‐based stochastic framework for RIS‐assisted indoor VLC under blocked LoS conditions with stochastic user deployment, probabilistic blockage modelling and programmable RIS reflection ...
Antwi Owusu Agyeman, Samuel Tweneboah‐Koduah, Martin Alabi Mensah, Isaac Coffie, Ruhiya Abubakar   +4 more
wiley   +1 more source

Optimisation Algorithm for Offloading Decision and Resource Allocation in Cache‐Assisted Multi‐UAV Mobile Edge Computing Systems

IET Communications, Volume 20, Issue 1, January/December 2026.
The rapid expansion of the Internet of Things has led to an explosion of computation‐intensive tasks, making mobile edge computing (MEC) a critical enabling technology. Unmanned aerial vehicles (UAVs) are emerging as key components of these networks, yet their limited onboard resources and the dynamic nature of IoT environments present significant ...
Mengyuan Tao, Qi Zhu
wiley   +1 more source

Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G

IEEE Access, 2018
Non-orthogonal multiple access (NOMA) is one promising technology, which provides high system capacity, low latency, and massive connectivity, to address several challenges in the fifth-generation wireless systems. In this paper, we first reveal that the
Jie Zeng, Tiejun Lv, Ren Ping Liu, Xin Su, Mingyao Peng, Chang Wang, Jiajia Mei   +6 more
doaj   +1 more source

On the performance of non-orthogonal multiple access (NOMA) using FPGA

International Journal of Electrical and Computer Engineering (IJECE), 2020
In this paper,  non-orthogonal multiple access (NOMA) is designed and implemented for the fifth generation (5G) of multi-user wireless communication.  Field-programmable gate array (FPGA) is considered for the implementation of this technique for two users.
Mohamad A. Ahmed, Khalid F. Mahmmod, Mohammed M. Azeez   +2 more
openaire   +3 more sources