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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …