[PDF][PDF] Special topic on computational radio intelligence: One key for 6G wireless

W JIANG, FL LUO - ZTE Communications, 2020 - zte.magtechjournal.com
The year of 2019 is the first deployment year of the fifth generation (5G) mobile
communications. As we are writing the editorial for this special issue, a list of coun⁃ tries …

Beyond 5G: Big data processing for better spectrum utilization

A Kliks, L Kulacz, P Kryszkiewicz… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
This article emphasizes the great potential of big data processing for advanced user-and
situationoriented, context-aware resource utilization in future wireless networks. In particular …

Transfer learning for future wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu, YM Saputra… - arXiv preprint arXiv …, 2021 - arxiv.org
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

Deep learning for RF signal classification in unknown and dynamic spectrum environments

Y Shi, K Davaslioglu, YE Sagduyu… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) benefits from detection and classification of interference
sources including in-network users, out-network users, and jammers that may all coexist in a …

Joint energy-efficient and throughput-sufficient transmissions in 5G cells with deep Q-learning

ST Spantideas, AE Giannopoulos… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
As a consequence of the 5G network densification and heterogeneity, there is a competitive
relationship between the sufficient satisfaction of the cell users and the power-efficiency of …

Gated recurrent unit neural networks for automatic modulation classification with resource-constrained end-devices

R Utrilla, E Fonseca, A Araujo, LA Dasilva - IEEE Access, 2020 - ieeexplore.ieee.org
The continuous increase in the number of mobile and Internet of Things (IoT) devices, as
well as in the wireless data traffic they generate, represents an essential challenge in terms …

Evolution toward 6G wireless networks: A resource management perspective

M Rasti, SK Taskou, H Tabassum… - arXiv preprint arXiv …, 2021 - arxiv.org
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …

Deepchannel: Wireless channel quality prediction using deep learning

A Kulkarni, A Seetharam, A Ramesh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurately modeling and predicting wireless channel quality variations is essential for a
number of networking applications such as scheduling and improved video streaming over …

5G signal identification using deep learning

MH Alhazmi, M Alymani, H Alhazmi… - 2020 29th Wireless …, 2020 - ieeexplore.ieee.org
Spectrum awareness, including identifying different types of signals, is very important in a
cellular system environment. In this paper, a neural network is utilized to identify 5G signals …

Spectrum awareness at the edge: Modulation classification using smartphones

N Soltani, K Sankhe, S Ioannidis… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
As spectrum becomes crowded and spread over wide ranges, there is a growing need for
emcient spectrum management techniques that need minimal, or even better, no human …