DOI: https://doi.org/10.15587/1729-4061.2018.150983

Construction of mathematical models for the estimation of signal strength at the input to the 802.11 standard receiver in a 5 GHz band

Dmytro Mykhalevskiy

Abstract


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 standards 

Keywords


wireless channel; 802.11 standard; signal distribution; signal strength; 5 GHz frequency range

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References


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Rose, K., Eldridge, S., Chapin, L. (2015). The internet of things: An overview. The Internet Society (ISOC), 1–50.

Mykhalevskiy, D. (2017). Development of a spatial method for the estimation of signal strenth at the input of the 802.11 standard receiver. Eastern-European Journal of Enterprise Technologies, 4 (9 (88)), 29–36. doi: https://doi.org/10.15587/1729-4061.2017.106925

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Mykhalevskiy, D., Vasylkivskyi, N., Horodetska, O. (2017). Development of a mathematical model for estimating signal strength at the input of the 802.11 standard receiver. Eastern-European Journal of Enterprise Technologies, 6 (9 (90)), 38–43. doi: https://doi.org/10.15587/1729-4061.2017.114191

Dolińska, I. Rządkowski, G. (2014). The Method of DCF Simulation and Analysis for Small Wi-Fi Networks. Zeszyty naukowe, 38, 50–64.

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Bortnyk, G., Vasylkivskyi, M., Kychak, V. (2016). The method of improving the dynamic range of analog-digital conversion of phase jitter signals in telecommunications systems. 2016 International Conference Radio Electronics & Info Communications (UkrMiCo). doi: https://doi.org/10.1109/ukrmico.2016.7739630


GOST Style Citations


CWAP Certified Wireless Analysis Professional Official Study Guide: Exam PW0-270 / Wescott D. A., Coleman D. D., Miller B., Mackenzie P. Wiley, 2011. 696 p.

Rose K., Eldridge S., Chapin L. The internet of things: An overview // The Internet Society (ISOC). 2015. P. 1–50.

Mykhalevskiy D. Development of a spatial method for the estimation of signal strenth at the input of the 802.11 standard receiver // Eastern-European Journal of Enterprise Technologies. 2017. Vol. 4, Issue 9 (88). P. 29–36. doi: https://doi.org/10.15587/1729-4061.2017.106925 

Received signal strength indicator and its analysis in a typical WLAN system (short paper) / Chapre Y., Mohapatra P., Jha S., Seneviratne A. // 38th Annual IEEE Conference on Local Computer Networks. 2013. doi: https://doi.org/10.1109/lcn.2013.6761255 

Chruszczyk Ł. Statistical Analysis of Indoor RSSI Read-outs for 433 MHz, 868 MHz, 2.4 GHz and 5 GHz ISM Bands // International Journal of Electronics and Telecommunications. 2017. Vol. 63, Issue 1. P. 33–38. doi: https://doi.org/10.1515/eletel-2017-0005 

Mikhalevskiy D., Guz M. An evaluation of the signal power distribution of a standard 802.11 transmitter in the room // Sword. 2015. Vol. 3, Issue 1 (38). P. 48–52.

Mykhalevskiy D., Vasylkivskyi N., Horodetska O. Development of a mathematical model for estimating signal strength at the input of the 802.11 standard receiver // Eastern-European Journal of Enterprise Technologies. 2017. Vol. 6, Issue 9 (90). P. 38–43. doi: https://doi.org/10.15587/1729-4061.2017.114191 

Dolińska I. Rządkowski G. The Method of DCF Simulation and Analysis for Small Wi-Fi Networks // Zeszyty naukowe. 2014. Issue 38. P. 50–64.

Laitinen E., Talvitie J., Lohan E.-S. On the RSS biases in WLAN-based indoor positioning // 2015 IEEE International Conference on Communication Workshop (ICCW). 2015. doi: https://doi.org/10.1109/iccw.2015.7247277 

Bilynsky J., Horodetska O., Ratushny P. Prospects for the use of new methods of digital processing of medical images // 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET). 2016. doi: https://doi.org/10.1109/tcset.2016.7452182 

Bortnyk G., Vasylkivskyi M., Kychak V. The method of improving the dynamic range of analog-digital conversion of phase jitter signals in telecommunications systems // 2016 International Conference Radio Electronics & Info Communications (UkrMiCo). 2016. doi: https://doi.org/10.1109/ukrmico.2016.7739630 







Copyright (c) 2018 Dmytro Mykhalevskiy

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061