Abstract
Channel assignment has become a critical configuration task in Wi-Fi networks due to the increasing number and density of devices which use the same frequency band in the radioelectric spectrum. There have been a number of research efforts that propose how to assign channels to the access points of Wi-Fi networks. However, most of them ignore the effect of clients (also called stations or STAs) in channel assignment, instead focusing only on access points (APs). In this paper, we claim that considering STAs in the channel assignment procedure yields better solutions in comparison with those obtained when STAs are ignored. To evaluate this hypothesis we have proposed a heuristic technique that includes the effect of interferences produced by STAs. Results show that taking STAs into account clearly improves the performance of the solutions both in terms of the achieved utility and in terms of the variability of results. We believe that these results will be useful to the design of future channel assignment techniques which consider the effect of STAs.
Highlights
Wireless networks are arguably the key pieces of technology that have let customers make ubiquitous use of communication networks
In this paper we propose a heuristic channel assignment technique that is suitable for Wi-Fi networks with a central coordinator
As software-defined networks (SDN) represent a powerful and flexible method for network management, Wi-Fi networks can benefit from this current technology to implement channel assignment techniques
Summary
Wireless networks are arguably the key pieces of technology that have let customers make ubiquitous use of communication networks. In [27], the authors propose a technique, which we have called AIIM according to its authors’ initials, to improve the performance of the AP that has the lowest performance without compromising the global performance and iterating this procedure This is the approach we have taken as a basis for this paper, showing that enhancing AIIM with a cluster-based approach (we have called it CB-AIMM) can significantly improve the resulting channel assignments. The main contribution of this paper is to show that the effect of STAs in a channel assignment technique is not negligible To show this behavior, we propose a heuristic channel assignment technique called CB-AIIM (cluster-based AIIM) that extends the proposal in [27] by including STAs, and show in the results that the performance greatly increases.
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