Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D Jin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

Artificial intelligence paradigm for customer experience management in next-generation networks: Challenges and perspectives

H Gacanin, M Wagner - Ieee Network, 2019 - ieeexplore.ieee.org
With the advancements of next-generation programmable networks, traditional rule-based
decision-making may not be able to adapt effectively to changing network and customer …

Autonomous wireless systems with artificial intelligence: A knowledge management perspective

H Gacanin - IEEE Vehicular Technology Magazine, 2019 - ieeexplore.ieee.org
This article discusses technology and opportunities available to embrace artificial
intelligence (AI) in the design of autonomous wireless systems. A vision is presented for …

An overview of machine learning approaches in wireless mesh networks

S Karunaratne, H Gacanin - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
Wireless mesh networks (WMNs) have been extensively studied for nearly two decades as
one of the most promising candidates expected to power the high-bandwidth, high-coverage …

Self-deployment of non-stationary wireless systems by knowledge management with artificial intelligence

H Gacanin, E Perenda, R Atawia - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a self-deployment strategy for non-stationary wireless extenders,
where both back-haul and front-haul links are optimized. We present an artificial intelligence …

Channel load aware AP/Extender selection in Home WiFi networks using IEEE 802.11 k/v

T Adame, M Carrascosa, B Bellalta, I Pretel… - IEEE …, 2021 - ieeexplore.ieee.org
Next-generation Home WiFi networks have to step forward in terms of performance. New
applications such as on-line games, virtual reality or high quality video contents will further …

Priza: Throughput-Efficient DAS Clustering of WiFi-PLC Extenders in Enterprises

HA Alhulayyil, J Chen, K Sundaresan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
WiFi-enabled Power Line Communications (PLC) range extenders can extend coverage in
homes and enterprises. However, a dense deployment of a large number of PLC extenders …

Self-optimization of wireless systems with knowledge management: An artificial intelligence approach

H Gačanin, E Perenda, S Karunaratne… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a new concept of a knowledge management framework to enable
a self-optimizing and self-learning for wireless system operation in real time. The framework …

Delay-Sensitive Wireless Content Delivery: An Interpretable Artificial Intelligence Approach

E Coronado, B Gómez, J Villalón… - … on Network and …, 2021 - ieeexplore.ieee.org
The COVID-19 emergency has made the consumption of multimedia content skyrocket in all
contexts, including education. Many universities leverage hybrid learning models, in which …