Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions

M Raeisi-Varzaneh, O Dakkak, A Habbal… - IEEE Access, 2023 - ieeexplore.ieee.org
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

[HTML][HTML] A comprehensive survey on resource allocation strategies in fog/cloud environments

J Vergara, J Botero, L Fletscher - Sensors, 2023 - mdpi.com
The growing number of connected objects has allowed the development of new applications
in different areas. In addition, the technologies that support these applications, such as cloud …

Deep learning based autonomous vehicle super resolution DOA estimation for safety driving

L Wan, Y Sun, L Sun, Z Ning… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, a novel system architecture including a massive multi-input multi-output
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …

GMD-based hybrid beamforming for large reconfigurable intelligent surface assisted millimeter-wave massive MIMO

K Ying, Z Gao, S Lyu, Y Wu, H Wang, MS Alouini - IEEE Access, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to
reshape the wireless environment for improved throughput. Its passive feature greatly …

[HTML][HTML] A survey on binary metaheuristic algorithms and their engineering applications

JS Pan, P Hu, V Snášel, SC Chu - Artificial Intelligence Review, 2023 - Springer
This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

Learning-based resource allocation strategy for industrial IoT in UAV-enabled MEC systems

L Sun, L Wan, X Wang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Forest fire monitoring plays an important role in forest resource protection. Although satellite
remote sensing is an effective way for forest fire monitoring, satellite-based methods can …

Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data

X Liu, C Sun, M Zhou, C Wu, B Peng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid increase of industrial systems, industrial spectrum is stepping into the era of
big data, and at the same time spectrum resources are facing serious shortage. Cognitive …

A novel weighted KNN algorithm based on RSS similarity and position distance for Wi-Fi fingerprint positioning

B Wang, X Gan, X Liu, B Yu, R Jia, L Huang… - IEEE Access, 2020 - ieeexplore.ieee.org
In Wi-Fi fingerprint positioning, what we should most care about is the distance relationship
between the user and the reference points (RP). However, most of the existing weighted k …

Low-complexity channel estimation for circular and noncircular signals in virtual MIMO vehicle communication systems

X Wang, L Wan, M Huang, C Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In intelligent transportation systems (ITSs), the communication between the base station
(BS) and the vehicles can form a virtual multiple-input multiple-out put (VMIMO) vehicle …

[PDF][PDF] Optimized mobile edge computing framework for IoT based medical sensor network nodes

JS Raj, S Jennifer - Journal of Ubiquitous Computing and …, 2021 - academia.edu
Edge computing is a new computing paradigm that is rapidly emerging in various fields.
Task completion is performed by various edge devices with distributed cloud computing in …