Results 91 to 100 of about 27,923 (259)
Non-Orthogonal Multiple Access (NOMA) is a cutting-edge technology that permits several users to use the same frequency resources and transfer data at once. Visible light communication also known as VLC, is an innovative technology that offers access to
Seba Adnan Yosef, Lwaa Faisal Abdulameer
doaj +1 more source
Within the framework of integrated space‐air‐ground edge computing networks, this paper investigates the joint optimization of task allocation, user‐UAV association, UAV deployment, and computation resource allocation between UAVs and the LEO satellite.
Tengda Huang, Tao Hu, Di Wu, Wenzhi Zhao
wiley +1 more source
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying
Non-orthogonal multiple access (NOMA) and spectrum sharing (SS) are two emerging multiple access technologies for efficient spectrum utilization in the fifth-generation (5G) wireless communications standard.
Cardiff, Barry +2 more
core +1 more source
Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks
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 +5 more
wiley +1 more source
Federated Split Learning for Large Language Models With RSMA
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 +6 more
wiley +1 more source
Hybrid NOMA for Latency Minimization in Wireless Federated Learning for 6G Networks [PDF]
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
On the Performance Gain of NOMA over OMA in Uplink Communication Systems
In this paper, we investigate and reveal the ergodic sum-rate gain (ESG) of non-orthogonal multiple access (NOMA) over orthogonal multiple access (OMA) in uplink cellular communication systems. A base station equipped with a single-antenna, with multiple
Hanzo, Lajos +4 more
core +1 more source
Power Allocation Evaluation for Downlink Non-Orthogonal Multiple Access (NOMA)
Fifth-generation of wireless cellular systems has the potential to increase capacity, spectral efficiency, and fairness among users. The Non-Orthogonal Multiple Access based wireless networks (NOMA) is the next generation multiplexing technique.
Wajd Fahad Alghasmari, L. Nassef
semanticscholar +1 more source
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 +4 more
doaj +1 more source
A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT
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 +5 more
doaj +1 more source

