A survey of device-to-device communications: Research issues and challenges
Device-to-Device (D2D) communication has emerged as a promising technology for
optimizing spectral efficiency in future cellular networks. D2D takes advantage of the …
optimizing spectral efficiency in future cellular networks. D2D takes advantage of the …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
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 …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
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 …
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …
Revolution or evolution? Technical requirements and considerations towards 6G mobile communications
Ever since the introduction of fifth generation (5G) mobile communications, the mobile
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
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
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …
attractive solution to meet the exponentially increasing demand on mobile data traffic …
Ultra-dense LEO: Integrating terrestrial-satellite networks into 5G and beyond for data offloading
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 …
ultra-dense low earth orbit (LEO) networks and the terrestrial networks to achieve efficient …
A review of Internet of Things—Resource allocation
As one of emerging technologies, Internet of Things (IoT) has become popular. This article
reviews the literature regarding resource allocation (RA) of the Internet of Things …
reviews the literature regarding resource allocation (RA) of the Internet of Things …
Green communication in next generation cellular networks: A survey
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 …
available by 2020. The unfolding cellular technology has raised the energy consumption in …
Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …