6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing

L Wang, K Wang, C Pan, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Survey on device to device (D2D) communication for 5GB/6G networks: Concept, applications, challenges, and future directions

MSM Gismalla, AI Azmi, MRB Salim… - IEEE …, 2022 - ieeexplore.ieee.org
Device-to-device (D2D) communication is one of the most promising technologies in
wireless cellular networks that can be employed to improve spectral and energy efficiency …

Energy efficient resource allocation in UAV-enabled mobile edge computing networks

Z Yang, C Pan, K Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we consider the sum power minimization problem via jointly optimizing user
association, power control, computation capacity allocation, and location planning in a …

Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems

Y Mao, J Zhang, SH Song… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has recently emerged as a prominent technology to liberate
mobile devices from computationally intensive workloads, by offloading them to the …

Joint deployment and task scheduling optimization for large-scale mobile users in multi-UAV-enabled mobile edge computing

Y Wang, ZY Ru, K Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article establishes a new multiunmanned aerial vehicle (multi-UAV)-enabled mobile
edge computing (MEC) system, where a number of unmanned aerial vehicles (UAVs) are …

Semi-distributed resource management in UAV-aided MEC systems: A multi-agent federated reinforcement learning approach

Y Nie, J Zhao, F Gao, FR Yu - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV)-enabled multi-access edge computing (MEC) has
been introduced as a promising edge paradigm for the future space-aerial-terrestrial …