Abstract
Background/Objectives: In designing WLAN networks is difficult to determine exactly the maximum range of the signal radiated by an Access Point, due to the random behavior of the signal received power and receiver sensitivity. The aim of this paper is to develop an algorithm estimate the probability of Court and the coverage area for an Access Point (AP) in the 2.4GHz and 5GHz bands. Methods/Statistical Analysis: For estimating the outage probability and the coverage area, two routines in Matlab for each frequency band supported on the propagation model Log-Normal Shadowing Path Loss developed, which allow decompose the received power at an average power and attenuation term shadow. Topic Relevance: Although there have been various related design WLANs work, no evidence of an algorithm to estimate the coverage area and the likelihood of court, considering it was found that, in most cases, the estimation of these parameters it is performed graphically and by using software tools on a plane set by the designer. Aspect by which developed in Matlab routines may be used in future research related to the design of WLANs. Results: Based on the results it was evident that it is possible to predict the area of coverage and outage probability for the 2.4GHz and 5GHz according to the transmission power, the detection threshold of the receiver, the probability estimated cut and environment characterization between the AP and the receiver, either free space or obstacles, supported using a shadow model attenuation. Additionally, routines allowed the generation of curves describing the behavior of area coverage and outage probability in terms of percent, depending on the radius of coverage, frequency band and environmental conditions, with 95% confidence. Application/ Improvements: The developed routines can be used as support tools in future research. Keywords: Coverage Area, Interference, Outage Probability, Reception Power, WLAN Networks
Highlights
Due to the continued proliferation of wireless users and access points, it often happens that in one area can reach coexist different wireless networks that are not part of the same delivery system and whose only relationship is not more than the use of a means common situation creates difficulties when implementing centralized RRM mechanisms[1]
Mechanisms RRM in the field of networks WLAN IEEE 802.11 are intended primarily to reduce problems related to containment and interference, which results in a better Quality of Experience (QoE) as perceived by users, for it RRM should provide efficient mechanisms using algorithms for channel assignment, the type of modulation, power control and load balancing[2]
Algorithms for Estimation of the Coverage Area and Low Blocking Probability Model Log-Normal Shadowing for 2.4 GHz and 5 GHz in Indoor Environments tion of coverage areas and outage probability associated with a cell of radiation generated by an Access Point (AP) not part of the mechanisms of RRM, where in most cases they are set on a priori during the planning by using software tools and estimated graphically[3]
Summary
Due to the continued proliferation of wireless users and access points, it often happens that in one area can reach coexist different wireless networks that are not part of the same delivery system and whose only relationship is not more than the use of a means common (spectrum unlicensed radio) situation creates difficulties when implementing centralized RRM mechanisms[1]. Algorithms for Estimation of the Coverage Area and Low Blocking Probability Model Log-Normal Shadowing for 2.4 GHz and 5 GHz in Indoor Environments tion of coverage areas and outage probability associated with a cell of radiation generated by an AP not part of the mechanisms of RRM, where in most cases they are set on a priori during the planning by using software tools and estimated graphically[3]. As IEEE 802.11 networks are widely used, there has been a significant amount of work on the planning of wireless networks IEEE 802.11n6 In such networks, the use of transmission scheme Multiple-Input MultipleOutput (MIMO) changes the expected behavior of signal level due to its multiple antenna use, exploiting physical phenomena such as multipath propagation to increase transmission speed and reduce the error rate[7]. In view of the above, this article seeks to establish algorithms to estimate the area coverage and outage probability for the 2.4GHz and 5GHz, depending on the transmission power, the detection threshold of the receiver, estimated outage probability and environment characterization between the AP and the receiver, either free space or obstacles, supported using a shadow model attenuation
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