In the wireless local area networks (WLANs) based on the IEEE 802.11 technology, the
limited set of channels is shared by a large number of access points (APs), which inevitably …

Genetic algorithms (GA) are computational methods for solving optimization problems
inspired by natural selection. Because we can simulate the quantum circuits that implement …

In this paper, we tackle a problem of frequency assignment in Wi-Fi networks with a novel
evolutionary-type algorithm. In this version of the problem, we consider the interferences …

One of the big challenges in decentralized Wi-Fi networks is how to select channels for the
different access points (APs) and their associated stations (STAs) in order to minimize …

User experience is the ultimate quality of service criterion for modern WLAN networks.
However, network configuration approaches are mainly network-centric. We envision a …

The present work deals with the problem of efficiently assigning Wi-Fi channels in a real-
world scenario, the Polytechnic School of the University of Alcalá. We first use proximity …

At the present time, Wi-Fi networks are everywhere. They operate in unlicensed radio-
frequency spectrum bands (divided in channels), which are highly congested. The purpose …

Abstract The Distributed Pseudo-tree Optimization Procedure (DPOP) is a well-known
message passing algorithm that provides optimal solutions to Distributed Constraint …

Due to the high density of Wi‐Fi networks, especially in the unlicensed 2.4 GHz frequency
band, channel assignment has become a critical duty for achieving a satisfactory user …

Quantum genetic algorithms (QGA) integrate genetic programming and quantum computing
to address search and optimization problems. The standard strategy of the hybrid QGA …