[HTML][HTML] 6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
[HTML][HTML] Arabic Tweets-based Sentiment Analysis to investigate the impact of COVID-19 in KSA: A deep learning approach
A Alqarni, A Rahman - Big Data and Cognitive Computing, 2023 - mdpi.com
The World Health Organization (WHO) declared the outbreak of Coronavirus disease 2019
(COVID-19) a pandemic on 11 March 2020. The evolution of this pandemic has raised …
(COVID-19) a pandemic on 11 March 2020. The evolution of this pandemic has raised …
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review
In the last few decades, the influence of machine learning has permeated many areas of
science and technology, including the field of materials science. This toolkit of data driven …
science and technology, including the field of materials science. This toolkit of data driven …
A deep autoencoder trust model for mitigating jamming attack in IoT assisted by cognitive radio
This article proposes deep learning (DL) framework constructed using deep autoencoder
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …
面向6G 的卫星通信网络架构展望
吴晓文， 焦侦丰， 凌翔， 刘冰， 朱立东， 韩磊 - 电信科学, 2021 - infocomm-journal.com
分析和研究了未来6G 卫星网络架构并提出了设想. 首先介绍国内外星地融合的研究现状,
结合6G 网络的愿景, 需求和6G 网络架构的当前研究成果, 总结了6G 网络架构的技术特征; …
结合6G 网络的愿景, 需求和6G 网络架构的当前研究成果, 总结了6G 网络架构的技术特征; …
[HTML][HTML] Machine learning-assisted adaptive modulation for optimized drone-user communication in b5g
SP Gopi, M Magarini, SH Alsamhi, AV Shvetsov - Drones, 2021 - mdpi.com
The fundamental issue for Beyond fifth Generation (B5G) is providing a pervasive
connection to heterogeneous and various devices in smart environments. Therefore, Drones …
connection to heterogeneous and various devices in smart environments. Therefore, Drones …
Predictive UAV base station deployment and service offloading with distributed edge learning
In modern networks, edge computing will be responsible for processing and learning from
the critical network-and user-generated data, such as wireless link usage, mobility …
the critical network-and user-generated data, such as wireless link usage, mobility …
[HTML][HTML] Multi-agent deep reinforcement learning for user association and resource allocation in integrated terrestrial and non-terrestrial networks
DJ Birabwa, D Ramotsoela, N Ventura - Computer Networks, 2023 - Elsevier
Integrating the terrestrial network with non-terrestrial networks to provide radio access as
anticipated in the beyond 5G networks calls for efficient user association and resource …
anticipated in the beyond 5G networks calls for efficient user association and resource …
Signal detection in uplink time-varying OFDM systems using RNN with bidirectional LSTM
S Wang, R Yao, TA Tsiftsis… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we propose a deep learning-assisted approach for signal detection in uplink
orthogonal frequency-division multiplexing (OFDM) systems over time-varying channels. In …
orthogonal frequency-division multiplexing (OFDM) systems over time-varying channels. In …
[HTML][HTML] Trends in intelligent communication systems: Review of standards, major research projects, and identification of research gaps
The increasing complexity of communication systems, following the advent of
heterogeneous technologies, services and use cases with diverse technical requirements …
heterogeneous technologies, services and use cases with diverse technical requirements …