Construction of mathematical models for the estimation of signal strength at the input to the 802.11 standard receiver in a 5 GHz band
DOI:
https://doi.org/10.15587/1729-4061.2018.150983Keywords:
wireless channel, 802.11 standard, signal distribution, signal strength, 5 GHz frequency rangeAbstract
The paper proposes mathematical models for the spatial estimation of signal strength at the input of the receiver for the 802.11x family of standards in a 5 GHz range. The models were constructed based on the experimental research into signal distribution for the angular and central location of an access point.
A special feature of these models is taking the main energy parameter into consideration under a real-time mode, and accounting for the maximally possible number of impact factors. In addition, the permissible limits have been determined for these models, which exert a minimal influence on the effective data transfer rate.
It was established that for the 802.11 standard, in a 5 GHz frequency range, the rather significant signal fluctuations exist. Depending on the extent to which premises are filled with various objects, the level of fluctuations can amount to δ=±4..8 dBm, subject to the MIMO system availability. The greatest concentration of radiation energy is observed directly at the transmitting antenna at a distance of up to two meters; it subsequently fades on 10...20 dBm.
It has been established that the presence of MIMO technology introduces a certain heterogeneity to spatial distribution. In this case, there are zones with a lower signal level, as well as zone-bands with a higher level in the presence of multiple antennas. The effectiveness of such a system is maximal in the plane of the arrangement of antennas.
The advantages of the derived models for the spatial signal distribution include: the estimation of a signal level in space for any premises; taking into consideration fluctuations in the primary energy parameter, as well as parameters for the transmission medium; accounting for the parameters of premises, as well as the extent to which space is filled with objects. Such models are most effective for application in methods to diagnose and control wireless networks and channels in the 802.11x family of standardsReferences
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