Zobrazeno 1 - 10
of 257
pro vyhledávání: '"Martínez-Ramón, Manel"'
Adaptive learning is necessary for non-stationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model update to not grow in computational burden with the incoming data and with
Externí odkaz:
http://arxiv.org/abs/2302.10325
Autor:
Sirhan, Najem N, Martinez-Ramon, Manel
Publikováno v:
International Journal of Wireless & Mobile Networks (IJWMN), Vol.14, No.4, August 2022
Frequency reuse in cells is one of the strategies that LTE uses to maximize the spectrum efficiency. However, it leads to an interference among the cells, especially at the cell edges where the probability for a cell-edge user to be scheduled on a re
Externí odkaz:
http://arxiv.org/abs/2208.14513
Autor:
Sirhan, Najem N, Martinez-Ramon, Manel
Publikováno v:
International Journal of Wireless & Mobile Networks (IJWMN), Vol.14, No.4, August 2022
The number of LTE users and their applications has increased significantly in the last decade, which increased the demand on the mobile network. LTE-Advanced comes with many features that can support this increasing demand. LTE-Advanced supports Hete
Externí odkaz:
http://arxiv.org/abs/2208.13053
Autor:
Sirhan, Najem N, Martinez-Ramon, Manel
This survey paper provides a detailed explanation of Long Term Evolution cellular network packet scheduling algorithms in both downlink and uplink directions. It starts by explaining the difference between Orthogonal Frequency Division Multiple Acces
Externí odkaz:
http://arxiv.org/abs/2204.11369
Autor:
Sirhan, Najem N, Martinez-Ramon, Manel
In this paper, we propose, implement, and test two novel downlink LTE scheduling algorithms. The implementation and testing of these algorithms were in Matlab, and they are based on the use of Reinforcement Learning, more specifically, the Qlearning
Externí odkaz:
http://arxiv.org/abs/2205.02765
The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i.e., energy storage). This investigation aims to decrease the additional cost by introducing probabilistic multi-t
Externí odkaz:
http://arxiv.org/abs/2110.05622
Publikováno v:
In Sustainable Energy, Grids and Networks June 2024 38
This work investigates application of different machine learning based prediction methodologies to estimate the performance of silicon based textured cells. Concept of confidence bound regions is introduced and advantages of this concept are discusse
Externí odkaz:
http://arxiv.org/abs/2107.07342