no code implementations • 19 May 2024 • Francesc Wilhelmi, Szymon Szott, Katarzyna Kosek-Szott, Boris Bellalta
Artificial intelligence (AI) and machine learning (ML) are nowadays mature technologies considered essential for driving the evolution of future communications systems.
no code implementations • 28 Apr 2023 • Rashid Ali, Boris Bellalta
However, given the limited number of available channels, the use of multiple links by a group of contending Basic Service Sets (BSSs) can result in higher interference and channel contention, thus potentially leading to lower performance and reliability.
no code implementations • 20 Mar 2022 • Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz, Emre Ozfatura, Kerem Ozfatura, Ozlem Yildiz, Deniz Gündüz, Hao Chen, Xiaoying Ye, Lizhao You, Yulin Shao, Paolo Dini, Boris Bellalta
As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency.
no code implementations • 29 May 2021 • Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Abdulrahman Algunayah, Jorge Martin-Pérez, Luigi Girletti, Rajasekar Mohan, K Venkat Ramnan, Boris Bellalta
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and standardization organizations are progressing on the definition of mechanisms and procedures to address the increasing complexity of future 5G and beyond communications.
no code implementations • 28 Mar 2021 • Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Boris Bellalta, Michail Matthaiou
An intelligent reflecting surface (IRS) at terahertz (THz) bands is expected to have a massive number of reflecting elements to compensate for the severe propagation losses.
no code implementations • 5 Jun 2020 • Álvaro López-Raventós, Boris Bellalta
Finding a suitable network configuration able to maximize the performance of enterprise WLANs is a challenging task given the complex dependencies between APs and stations.
2 code implementations • 17 May 2020 • Francesc Wilhelmi, Marc Carrascosa, Cristina Cano, Anders Jonsson, Vishnu Ram, Boris Bellalta
Without any doubt, Machine Learning (ML) will be an important driver of future communications due to its foreseen performance when applied to complex problems.
2 code implementations • 9 Jul 2019 • Francesc Wilhelmi, Sergio Barrachina Muñoz, Cristina Cano, Ioannis Selinis, Boris Bellalta
In particular, the main objective of the SR operation is to maximize the utilization of the medium by increasing the number of parallel transmissions.
Networking and Internet Architecture
1 code implementation • 19 Jun 2019 • Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta
The Spatial Reuse (SR) operation included in the IEEE 802. 11ax-2020 (11ax) amendment aims at increasing the number of parallel transmissions in an Overlapping Basic Service Set (OBSS).
Networking and Internet Architecture
1 code implementation • 30 May 2017 • Francesc Wilhelmi, Boris Bellalta, Cristina Cano, Anders Jonsson
Reinforcement Learning is gaining attention by the wireless networking community due to its potential to learn good-performing configurations only from the observed results.
no code implementations • 7 Jun 2016 • Gabriel Martins Dias, Maddalena Nurchis, Boris Bellalta
The time between two successive measurements is a critical parameter to set during the WSN configuration because it can impact the WSN's lifetime, the wireless medium contention and the quality of the reported data.
no code implementations • 14 May 2015 • Gabriel Martins Dias, Boris Bellalta, Simon Oechsner
That is, users might avoid stations at times when they could not return a bicycle that they have rented before, or when they would not find a bike to rent.