Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective

TK Rodrigues, K Suto, H Nishiyama… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …

A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision

M Pundir, JK Sandhu - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …

Survey of reinforcement-learning-based MAC protocols for wireless ad hoc networks with a MAC reference model

Z Zheng, S Jiang, R Feng, L Ge, C Gu - Entropy, 2023 - mdpi.com
In this paper, we conduct a survey of the literature about reinforcement learning (RL)-based
medium access control (MAC) protocols. As the scale of the wireless ad hoc network …

[HTML][HTML] Exploring practical vulnerabilities of machine learning-based wireless systems

Z Liu, C Xu, Y Xie, E Sie, F Yang, K Karwaski… - … USENIX Symposium on …, 2023 - usenix.org
NSDI '23 Technical Sessions | USENIX Sign In Conferences Attend Registration Information
Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program Technical …

FIRE: enabling reciprocity for FDD MIMO systems

Z Liu, G Singh, C Xu, D Vasisht - Proceedings of the 27th Annual …, 2021 - dl.acm.org
Massive MIMO forms a crucial component for 5G because of its ability to improve quality of
service and support multiple streams simultaneously. However, for real-world MIMO …

Evolution of MAC protocols in the machine learning decade: A comprehensive survey

M Hussien, IATF Taj-Eddin, MFA Ahmed… - arXiv preprint arXiv …, 2023 - arxiv.org
The last decade,(2012-2022), saw an unprecedented advance in machine learning (ML)
techniques, particularly deep learning (DL). As a result of the proven capabilities of DL, a …

[PDF][PDF] A fast convergence aloha based on reinforcement learning

S Xiaoying, Y Yuxia, Z Bin - International Journal of Computer Theory and …, 2021 - ijcte.com
To improve the throughput of ALOHA in Ad Hoc, we proposed a fast convergence framed
ALOHA (F-ALOHA). F-ALOHA combines ALOHA with reinforcement learning to achieve an …

A survey on the programmability of wireless mac protocols

PH Isolani, M Claeys, C Donato… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Self-organizing networks able to adapt to changes in the environment have already been a
longstanding research topic. Given the limited number of license-free industrial, scientific …

An efficient and adaptive configuration of IEEE 802.15. 4 MAC for communication delay optimisation

M Aboubakar, P Roux, M Kellil… - … conference on network …, 2020 - ieeexplore.ieee.org
The IEEE 802.15. 4 media access control (MAC) protocol stands today as one of the largely
used protocol in IoT low power networks applications. This protocol allows IoT power low …

Q learning based adaptive protocol parameters for WSNs

PN Karunanayake, A Könsgen… - Journal of …, 2022 - ieeexplore.ieee.org
Wireless sensor networks (WSN) are widely used for multi-disciplinary applications.
According to the requirements and the goal of the application, the network is designed and …