Optimization of AP Placement and Channel Assignment in Wireless LANs
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
Optimal Placement of Access Point in WLAN Based on a New Algorithm
ICMB '05 Proceedings of the International Conference on Mobile Business
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Indoor wLAN Planning with a QoS constraint based on a Markovian Performance Evaluation Model
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Realistic Long Term Evolution Performance for Massive HeNB Residential Deployments
Wireless Personal Communications: An International Journal
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Algorithms used in the optimization of wireless deployments have computational time as one of their main drawbacks. This computational time is very dependent on the test points established to characterize a deployment scenario. The approach commonly used to define sample points is based on a regular grid, which leads to a remarkable number of sample points if accuracy is required. In this paper, a novel scenario-dependent sampling scheme based on mathematical morphology is presented. Its performance is evaluated and compared to regular sampling, outperforming typical schemes reducing computational time while maintaining very accurate results.