Distributed learning for wireless communications: Methods, applications and challenges

L Qian, P Yang, M Xiao, OA Dobre… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
With its privacy-preserving and decentralized features, distributed learning plays an
irreplaceable role in the era of wireless networks with a plethora of smart terminals, an …

Location privacy in cognitive radio networks: A survey

M Grissa, B Hamdaoui, AA Yavuz - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
Cognitive radio networks (CRNs) have emerged as an essential technology to enable
dynamic and opportunistic spectrum access which aims to exploit underutilized licensed …

Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system

J Zhang, X Tao, H Wu, N Zhang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

Intelligent wireless communications enabled by cognitive radio and machine learning

X Zhou, M Sun, GY Li, BHF Juang - China Communications, 2018 - ieeexplore.ieee.org
The ability to intelligently utilize resources to meet the need of growing diversity in services
and user behavior marks the future of wireless communication systems. Intelligent wireless …

A prediction-based resource matching scheme for rentable LEO satellite communication network

C Han, A Liu, L Huo, H Wang… - IEEE Communications …, 2019 - ieeexplore.ieee.org
The resource allocation strategy is a critical problem in the low earth orbit (LEO) satellite
communication network (SCN) due to the limited resources and high movement. In this …

Optical millimeter wave mode division multiplexing of LG and HG modes for OFDM Ro-FSO system

A Amphawan, S Chaudhary, V Chan - Optics Communications, 2019 - Elsevier
The scarcity of RF spectrum at lower frequencies has recently been addressed by millimeter
wave transmission in fiber-wireless and radio-over-free-space optics networks for more …

When machine learning meets compressive sampling for wideband spectrum sensing

B Khalfi, A Zaid, B Hamdaoui - 2017 13th international wireless …, 2017 - ieeexplore.ieee.org
This paper proposes a novel technique that exploits spectrum occupancy behaviors inherent
to wideband spectrum access to enable efficient cooperative wideband spectrum sensing …

Adaptive spectrum sharing for half-duplex and full-duplex cognitive radios: From the energy efficiency perspective

D Li, J Cheng, VCM Leung - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In traditional cognitive radio networks (CRNs), the interweave, underlay, overlay, and hybrid
spectrum sharing schemes are only spectrum-efficient in specific circumstances. In order to …

Dynamic spectrum management via machine learning: State of the art, taxonomy, challenges, and open research issues

F Zhou, G Lu, M Wen, YC Liang, Z Chu… - IEEE Network, 2019 - ieeexplore.ieee.org
Dynamic spectrum management (DSM) plays an increasingly important role in wireless
communication networks for improving spectral efficiency. Conventionally, DSM is realized …

Sequence-based channel hopping algorithms for dynamic spectrum sharing in cognitive radio networks

PK Sahoo, D Sahoo - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
Cognitive radio network (CRN) is a promising solution to spectrum scarcity that uses the
dynamic spectrum access mechanism to increase the efficiency of the underutilized licensed …