Enabling massive IoT toward 6G: A comprehensive survey

F Guo, FR Yu, H Zhang, X Li, H Ji… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …

Toward smart wireless communications via intelligent reflecting surfaces: A contemporary survey

S Gong, X Lu, DT Hoang, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
This paper presents a literature review on recent applications and design aspects of the
intelligent reflecting surface (IRS) in the future wireless networks. Conventionally, the …

Internet of underwater things and big marine data analytics—a comprehensive survey

M Jahanbakht, W Xiang, L Hanzo… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey

M Mehrabi, D You, V Latzko, H Salah… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …

Partial offloading scheduling and power allocation for mobile edge computing systems

Z Kuang, L Li, J Gao, L Zhao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …

A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning

D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …

An energy-efficient networking approach in cloud services for IIoT networks

D Jiang, Y Wang, Z Lv, W Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
We study the problem of the energy-efficient networking in cloud services with
geographically distributed data centers for industrial Internet-of-Things (IIoT) networks …