Autors: Singh H., Kumar V., Saxena K., Bonev, B. G.
Title: Computational intelligent techniques for prediction of environmental attenuation of millimeter waves
Keywords: Artificial intelligence; Artificial neural network; Attenuat

Abstract: The latest trends in mobile technology have increased the need for higher spectrum bands from every sector of using wireless applications. Rapid growth of internet technology increase the need for wireless services, which require radio spectrum and thus becoming more congested. Engineers show that due to high demand for spectrum, government authorities are regularly introducing schemes to regulate the use of spectrum. New researches are enhancing to resolve the crisis. To fix the spectrum for future technologies, propagation studies are required. This chapter proposed a comprehensive review on computational intelligence-based techniques for analysis and prediction of attenuation by the outdoor environments during designing of radio links. A modified artificial neural network (ANN)-based prediction model is also proposed in this chapter to predict the attenuation caused by rain.

References

    Issue

    Security and Privacy Issues in IoT Devices and Sensor Networks, pp. 263-284, 2020, Netherlands, Elsevier, DOI 10.1016/B978-0-12-821255-4.00012-2

    Цитирания (Citation/s):
    1. Modeling and analysis of millimeter-wave propagation in dusty environments - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: книга/глава(и) от книга, публикация в реферирано издание, индексирана в Scopus