Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing

W Xu, Z Yang, DWK Ng, M Levorato… - IEEE journal of …, 2023 - ieeexplore.ieee.org
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model

IM Sharaf, AH Alamoodi, OS Albahri, M Deveci… - Expert Systems with …, 2024 - Elsevier
Abstract Fifth-generation (5G) technology provides new possibilities for a variety of
applications, but it also comes with challenges influenced by distinct aspects, such as the …

DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks

A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …

ECCANS: Enhanced CRITIC-based Context-Aware Network Selection algorithm for 5G HetNet

AK Yadav, K Singh, PK Srivastava, S Mahamad… - Sustainable Energy …, 2023 - Elsevier
The ability of mobility management to provide seamless communication and better quality of
service (QoS) to the multiservice multimode mobile node (MMMN), which can run multiple …

Distributed offloading for multi-uav swarms in mec-assisted 5G heterogeneous networks

M Ma, Z Wang - Drones, 2023 - mdpi.com
Mobile edge computing (MEC) is a novel paradigm that offers numerous possibilities for
Internet of Things (IoT) applications. In typical use cases, unmanned aerial vehicles (UAVs) …

User-centric radio access technology selection: A survey of game theory models and multi-agent learning algorithms

G Caso, Ö Alay, GC Ferrante, L De Nardis… - IEEE …, 2021 - ieeexplore.ieee.org
User-centric radio access technology (RAT) selection is a key communication paradigm,
given the increased number of available RATs and increased cognitive capabilities at the …

iRSL: Intelligent RAT selection framework for beyond 5G networks

B Priya, J Malhotra - Multimedia Tools and Applications, 2024 - Springer
Future networks are shifting towards more diversified and exemplary applications for
societal benefits. To realise the functionalities of these advanced applications and services …

Resource-Constraint Network Selection for IoT under the Unknown and Dynamic Heterogeneous Wireless Environment

Z Xu, Z Zhang, S Wang, Y Yan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
We investigate the problem of network selection for the Internet of Things (IoT) to maximize
the Quality of Experience (QoE) in a heterogeneous wireless environment. Different from the …

Cloud-Edge Framework for AoI-Efficient Data Processing in Multi-UAV-Assisted Sensor Networks

M Ma, Z Wang, S Guo, H Lu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Cloud and edge computing paradigms are increasingly being applied to data processing for
Internet of Things (IoT) sensors. Meanwhile, unmanned aerial vehicles (UAVs) can assist …

imnet: Intelligent rat selection framework for 5g enabled iomt network

B Priya, J Malhotra - Wireless Personal Communications, 2023 - Springer
The COVID-19 outburst has encouraged the adoption of Internet of Medical Things (IoMT)
network to empower the antiquated healthcare system and alleviate the health care costs …