Vishakha Yadav

Bio: Vishakha Yadav is an academic researcher from YMCA University of Science and Technology. The author has contributed to research in topics: Voice over IP & 5G. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Evolution and Development of Wireless Communication System

Abstract: The advance implementation of 5G technology are being made on the development of WWW (World Wide Web). In this paper we will throw the light on evolution and the development of various generations of mobile wireless technology with their significance and advantages over one another. In past decades, wireless technologies have been classified according to their generations. As 5G is not officially in use but it will offer the services like documentation, electronic transactions such as e-payments, e-transactions etc. Researches in the technology will open a new epoch in mobile communication systems since last few years. The paper is particularly created to introduce the fundamental wireless mobile communication for future or next generation technology. The upcoming mobile technology will support IPv6 and flat IP. The main focus of fifth generation is on VOIP (Voice over Internet Protocol).

A Compact Microstrip T-Shaped Resonator Band Pass Filter for 5G Applications

Abstract: In this paper, we introduce a compact wideband microstrip band pass filter for 3.5GHz, with excellent performance for the next generation mobile standards “5G”. The frequency band also includes the frequencies of the WIMAX (Worldwide Interoperability for Microwave Access) and WLAN (wireless local area network) applications. The proposed band pass filter is based on a rectangular T-Shaped resonator. Their dimensions are equal to 9×5mm2. The proposed compact microstrip band pass filter has been designed by software CST Microwave Studio using FR4 substrate having relative permittivity (e r ) of 4.3. This filter has a center frequency of 4,75GHz and 3dB bandwidth from 3 to 6GHz, an insertion loss low than 1dB, a return loss better than 30dB and also a fractional bandwidth more than 70%. This results are in good agreement with those accomplished by Advanced Design System “ADS”.

Throughput Prediction for Multimedia IoT in Wireless Network

Abstract: Wireless networks have been overgrown in recent years. In improving the quality of wireless networks, many studies have been conducted on many ways to improve the wireless network’s QoS (Quality of Service). The things that become the measurement of QoS are throughput, delay, jitter, and error rate. Predicting the throughput is an excellent way to improve the QoS. The result of throughput prediction helps to select the bitrate automatically and minimizes rebuffering. In this paper, we conduct a comparative study of throughput predictions for multimedia IoT in wireless networks. Then we experiment by collecting datasets, processing the data, and then predicting throughput data. We collect data from transmission data in the form of images from the ESP32-Cam to the Server. The throughput prediction uses Autoregressive (AR), Moving Average (MA), Autoregressive Integrated Moving Average, and (ARIMA). The result of this paper is AR algorithm has better performance in predicting throughput.