Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges

F Hussain, SA Hassan, R Hussain… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …

A survey of device-to-device communications: Research issues and challenges

F Jameel, Z Hamid, F Jabeen… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Device-to-Device (D2D) communication has emerged as a promising technology for
optimizing spectral efficiency in future cellular networks. D2D takes advantage of the …

Resource Allocation for Indoor Self-blockage WmWave Device-to-Device Communications

L Wang, X Yu, B Zheng, J Yao - 2020 - techrxiv.org
Millimeter wave (mmWave) technology can meet the requirements of large amount of data
communications among intelligent devices for indoor scenario. With high requirement of …

A survey on green 6G network: Architecture and technologies

T Huang, W Yang, J Wu, J Ma, X Zhang… - IEEE access, 2019 - ieeexplore.ieee.org
While 5G is being commercialized worldwide, research institutions around the world have
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …

LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing

Y Wang, J Yang, M Liu, G Gui - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …

Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations

H Zhang, S Huang, C Jiang, K Long… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …

[HTML][HTML] Revolution or evolution? Technical requirements and considerations towards 6G mobile communications

S Alraih, I Shayea, M Behjati, R Nordin, NF Abdullah… - Sensors, 2022 - mdpi.com
Ever since the introduction of fifth generation (5G) mobile communications, the mobile
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …

Ultra-dense LEO: Integrating terrestrial-satellite networks into 5G and beyond for data offloading

B Di, H Zhang, L Song, Y Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a terrestrial-satellite network (TSN) architecture to integrate the
ultra-dense low earth orbit (LEO) networks and the terrestrial networks to achieve efficient …

Green communication in next generation cellular networks: A survey

P Gandotra, RK Jha, S Jain - IEEE access, 2017 - ieeexplore.ieee.org
In order to meet the intense user demands, the 5G networks are evolving, and will be
available by 2020. The unfolding cellular technology has raised the energy consumption in …

Performance guaranteed computation offloading for mobile-edge cloud computing

X Tao, K Ota, M Dong, H Qi, K Li - IEEE Wireless …, 2017 - ieeexplore.ieee.org
In this letter, we investigate an energy efficiency with performance guaranteed problem in
mobile-edge computing. The mobile users desire lower energy consumption with better …