Evaluation of throughput estimation models and algorithms for WLAN frequency planning

Authors:
Timo Vanhatupa;Marko Hännikäinen;Timo D. Hämäläinen
Affiliations:
Tampere University of Technology, Institute of Digital and Computer Systems, Korkeakoulunkatu 1, FI-33720 Tampere, Finland;Tampere University of Technology, Institute of Digital and Computer Systems, Korkeakoulunkatu 1, FI-33720 Tampere, Finland;Tampere University of Technology, Institute of Digital and Computer Systems, Korkeakoulunkatu 1, FI-33720 Tampere, Finland
Venue:
Computer Networks: The International Journal of Computer and Telecommunications Networking
Year:
2007

Citing 5
Cited 1

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Swarm intelligence: from natural to artificial systems

Swarm intelligence: from natural to artificial systems
Optimization of AP Placement and Channel Assignment in Wireless LANs

LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
Weighted coloring based channel assignment for WLANs

ACM SIGMOBILE Mobile Computing and Communications Review
Quality-of-service in ad hoc carrier sense multiple access wireless networks

IEEE Journal on Selected Areas in Communications

Review: Cross-layer signalling and middleware: A survey for inelastic soft real-time applications in MANETs

Journal of Network and Computer Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Frequency optimization is required to maximize the WLAN throughput in environments where several networks coexist. This paper evaluates four throughput estimation models and two optimization algorithms. Throughput is selected as the optimization criteria for channel assignment. Thus, the result of a throughput estimation model is used as an input for an optimization algorithm. The target is a frequency plan that maximizes multi-cell WLAN throughput. The throughput estimation models are based on radio spectrum usage, practical throughput measurements, WLAN protocol behavior, and theoretical coverage estimations. The models use separate functions for defining the minimum channel distance. In the evaluation, Genetic Algorithm (GA) and a distributed optimization algorithm produce the final frequency plan. A dedicated simulator has been implemented for comparing the throughput estimation models. Usage of a throughput estimation model for frequency optimization in a real WLAN implementation has also been evaluated with a hardware prototype. As overall simulation results, the evaluated throughput estimation models did not produce significant WLAN throughput improvements compared to each other. Still, the selection of the throughput estimation model and optimization algorithm pair is significant, since certain combinations cause poor results.